diff --git a/DESCRIPTION b/DESCRIPTION
index 191c8bf4..b7d86afb 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: jmv
 Type: Package
 Title: The 'jamovi' Analyses
-Version: 2.2.3
+Version: 2.3
 Date: 2021-11-18
 Author: Ravi Selker, Jonathon Love, Damian Dropmann, Victor Moreno
 Maintainer: Jonathon Love <jon@thon.cc>
@@ -15,7 +15,7 @@ License: GPL (>= 2)
 Depends:
     R (>= 3.2)
 Imports:
-    jmvcore (>= 1.8),
+    jmvcore (>= 2.3),
     R6,
     car (>= 3.0.0),
     multcomp,
@@ -43,5 +43,5 @@ Suggests:
     knitr,
     rmarkdown
 Encoding: UTF-8
-RoxygenNote: 7.1.0
+RoxygenNote: 6.1.1
 VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index e8d5d6af..ebd5bf23 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -28,6 +28,7 @@ export(ttestOneS)
 export(ttestPS)
 import(ggplot2)
 import(jmvcore)
+importFrom(jmvcore,.)
 importFrom(jmvcore,matchSet)
 importFrom(stats,aggregate.data.frame)
 importFrom(stats,complete.cases)
diff --git a/R/ancova.b.R b/R/ancova.b.R
index ba5198a7..4e8ff7e1 100644
--- a/R/ancova.b.R
+++ b/R/ancova.b.R
@@ -1,6 +1,7 @@
 
 #' @import ggplot2
 #' @importFrom jmvcore matchSet
+#' @importFrom jmvcore .
 ancovaClass <- R6::R6Class(
     "ancovaClass",
     inherit=ancovaBase,
@@ -44,10 +45,11 @@ ancovaClass <- R6::R6Class(
 
             data <- self$finalData
 
+            errorMessage <- .("Column '{name}' contains unused levels (possible only when rows with missing values are excluded)")
             for (name in colnames(data)) {
                 column <- data[[name]]
                 if (is.factor(column) && any(table(column) == 0))
-                    reject("Column '{}' contains unused levels (possibly only when rows with missing values are excluded)", name=name)
+                    reject(errorMessage, name=name)
             }
 
             dataB64 <- lapply(data, function(x) {
@@ -77,6 +79,9 @@ ancovaClass <- R6::R6Class(
             factors <- self$options$factors
             modelTerms <- private$.modelTerms()
 
+            singularErrorMessage <- .("Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables.")
+            perfectFitErrorMessage <- .("Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit")
+
             suppressWarnings({
 
                 base::options(contrasts = c("contr.sum","contr.poly"))
@@ -105,7 +110,7 @@ ancovaClass <- R6::R6Class(
                     if (isError(results)) {
                         message <- extractErrorMessage(results)
                         if (message == 'there are aliased coefficients in the model')
-                            singular <- 'Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables'
+                            singular <- singularErrorMessage
                         results <- try(car::Anova(private$.model, type=2, singular.ok=TRUE), silent=TRUE)
                     }
 
@@ -119,7 +124,7 @@ ancovaClass <- R6::R6Class(
                     if (isError(results)) {
                         message <- extractErrorMessage(results)
                         if (message == 'there are aliased coefficients in the model')
-                            singular <- 'Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables'
+                            singular <- singularErrorMessage
                         results <- try({
                             r <- car::Anova(private$.model, type=3, singular.ok=TRUE, silent=TRUE)
                             r <- r[-1,]
@@ -130,11 +135,11 @@ ancovaClass <- R6::R6Class(
                 if (isError(results)) {
                     message <- extractErrorMessage(results)
                     if (message == 'residual df = 0')
-                        reject('Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit')
+                        reject(perfectFitErrorMessage)
                 }
 
                 if (results['Residuals', 'Sum Sq'] == 0 || results['Residuals', 'Df'] == 0)
-                    reject('Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit')
+                    reject(perfectFitErrorMessage)
 
             }) # suppressWarnings
 
@@ -148,7 +153,7 @@ ancovaClass <- R6::R6Class(
             table    <- self$results$main
 
             if (self$options$modelTest) {
-                table$addRow(rowKey='.', list(name='Overall model'))
+                table$addRow(rowKey='.', list(name=.('Overall model')))
                 table$addFormat(rowKey='.', col=1, format=Cell.BEGIN_END_GROUP)
             }
 
@@ -168,7 +173,7 @@ ancovaClass <- R6::R6Class(
                 table$addFormat(rowKey='...', col=1, format=Cell.BEGIN_END_GROUP)
             }
 
-            table$addRow(rowKey='', list(name='Residuals'))
+            table$addRow(rowKey='', list(name=.('Residuals')))
             table$addFormat(rowKey='', col=1, format=Cell.BEGIN_END_GROUP)
 
             if (self$options$ss == '1') {
@@ -209,36 +214,38 @@ ancovaClass <- R6::R6Class(
             tables <- self$results$postHoc
 
             postHocRows <- list()
+            postHocTableTitle <- .('Post Hoc Comparisons - {term}')
 
             for (ph in phTerms) {
 
                 table <- tables$get(key=ph)
 
-                table$setTitle(paste0('Post Hoc Comparisons - ', stringifyTerm(ph)))
+                table$setTitle(jmvcore::format(postHocTableTitle, term=stringifyTerm(ph)))
 
                 for (i in seq_along(ph))
-                    table$addColumn(name=paste0(ph[i],'1'), title=ph[i], type='text', superTitle='Comparison', combineBelow=TRUE)
+                    table$addColumn(name=paste0(ph[i],'1'), title=ph[i], type='text', superTitle=.('Comparison'), combineBelow=TRUE)
 
-                table$addColumn(name='sep', title='', type='text', content='-', superTitle='Comparison', format='narrow')
+                table$addColumn(name='sep', title='', type='text', content='-', superTitle=.('Comparison'), format='narrow')
 
                 for (i in seq_along(ph))
-                    table$addColumn(name=paste0(ph[i],'2'), title=ph[i], type='text', superTitle='Comparison')
+                    table$addColumn(name=paste0(ph[i],'2'), title=ph[i], type='text', superTitle=.('Comparison'))
+
+                table$addColumn(name='md', title=.('Mean Difference'), type='number')
+                table$addColumn(name='se', title=.('SE'), type='number')
+                table$addColumn(name='df', title=.('df'), type='number')
+                table$addColumn(name='t', title=.('t'), type='number')
 
-                table$addColumn(name='md', title='Mean Difference', type='number')
-                table$addColumn(name='se', title='SE', type='number')
-                table$addColumn(name='df', title='df', type='number')
-                table$addColumn(name='t', title='t', type='number')
+                table$addColumn(name='pnone', title=.('p'), type='number', format='zto,pvalue', visible="(postHocCorr:none)")
+                table$addColumn(name='ptukey', title=.('p<sub>tukey</sub>'), type='number', format='zto,pvalue', visible="(postHocCorr:tukey)")
+                table$addColumn(name='pscheffe', title=.('p<sub>scheffe</sub>'), type='number', format='zto,pvalue', visible="(postHocCorr:scheffe)")
+                table$addColumn(name='pbonferroni', title=.('p<sub>bonferroni</sub>'), type='number', format='zto,pvalue', visible="(postHocCorr:bonf)")
+                table$addColumn(name='pholm', title=.('p<sub>holm</sub>'), type='number', format='zto,pvalue', visible="(postHocCorr:holm)")
 
-                table$addColumn(name='pnone', title='p', type='number', format='zto,pvalue', visible="(postHocCorr:none)")
-                table$addColumn(name='ptukey', title='p<sub>tukey</sub>', type='number', format='zto,pvalue', visible="(postHocCorr:tukey)")
-                table$addColumn(name='pscheffe', title='p<sub>scheffe</sub>', type='number', format='zto,pvalue', visible="(postHocCorr:scheffe)")
-                table$addColumn(name='pbonferroni', title='p<sub>bonferroni</sub>', type='number', format='zto,pvalue', visible="(postHocCorr:bonf)")
-                table$addColumn(name='pholm', title='p<sub>holm</sub>', type='number', format='zto,pvalue', visible="(postHocCorr:holm)")
 
-                ciTitleES <- paste0(self$options$postHocEsCiWidth, '% Confidence Interval')
-                table$addColumn(name='d', title='Cohen\'s d', type='number', visible="(postHocES:d)")
-                table$addColumn(name='dlower', title='Lower', type='number', visible="(postHocES:d && postHocEsCi)", superTitle=ciTitleES)
-                table$addColumn(name='dupper', title='Upper', type='number', visible="(postHocES:d && postHocEsCi)", superTitle=ciTitleES)
+                ciTitleES <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$postHocEsCiWidth)
+                table$addColumn(name='d', title=.("Cohen's d"), type='number', visible="(postHocES:d)")
+                table$addColumn(name='dlower', title=.('Lower'), type='number', visible="(postHocES:d && postHocEsCi)", superTitle=ciTitleES)
+                table$addColumn(name='dupper', title=.('Upper'), type='number', visible="(postHocES:d && postHocEsCi)", superTitle=ciTitleES)
 
                 combin <- expand.grid(bsLevels[rev(ph)])
                 combin <- sapply(combin, as.character, simplify = 'matrix')
@@ -276,7 +283,7 @@ ancovaClass <- R6::R6Class(
                         table$addFormat(rowNo=i, col=1, Cell.END_GROUP)
                 }
 
-                table$setNote('note', 'Comparisons are based on estimated marginal means')
+                table$setNote('note', .('Comparisons are based on estimated marginal means'))
             }
             private$.postHocRows <- postHocRows
         },
@@ -305,6 +312,9 @@ ancovaClass <- R6::R6Class(
             emMeans <- self$options$emMeans
             group <- self$results$emm
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (j in seq_along(emMeans)) {
 
                 emm <- emMeans[[j]]
@@ -314,7 +324,7 @@ ancovaClass <- R6::R6Class(
                     emmGroup <- group$get(key=j)
 
                     table <- emmGroup$emmTable
-                    table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                    table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                     nLevels <- numeric(length(emm))
                     for (k in rev(seq_along(emm))) {
@@ -322,10 +332,10 @@ ancovaClass <- R6::R6Class(
                         nLevels[k] <- length(levels(self$data[[ emm[k] ]]))
                     }
 
-                    table$addColumn(name='mean', title='Mean', type='number')
-                    table$addColumn(name='se', title='SE', type='number')
-                    table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'))
-                    table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'))
+                    table$addColumn(name='mean', title=.('Mean'), type='number')
+                    table$addColumn(name='se', title=.('SE'), type='number')
+                    table$addColumn(name='lower', title=.('Lower'), type='number', superTitle=ciWidthTitle)
+                    table$addColumn(name='upper', title=.('Upper'), type='number', superTitle=ciWidthTitle)
 
                     nRows <- prod(nLevels)
 
@@ -647,8 +657,8 @@ ancovaClass <- R6::R6Class(
             return(ggplot(data=df, aes(y=y, x=x)) +
                       geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                       geom_point(aes(x=x,y=y), size=2, colour=theme$color[1]) +
-                      xlab("Theoretical Quantiles") +
-                      ylab("Standardized Residuals") +
+                      xlab(.("Theoretical Quantiles")) +
+                      ylab(.("Standardized Residuals")) +
                       ggtheme)
         },
         .prepareEmmPlots = function(data) {
@@ -824,7 +834,10 @@ ancovaClass <- R6::R6Class(
 
             } else if (type == 'polynomial') {
 
-                names <- c('linear', 'quadratic', 'cubic', 'quartic', 'quintic', 'sextic', 'septic', 'octic')
+                names <- c(
+                    .('linear'), .('quadratic'), .('cubic'), .('quartic'),
+                    .('quintic'), .('sextic'), .('septic'), .('octic')
+                )
 
                 for (i in seq_len(nLevels-1)) {
                     if (i <= length(names)) {
@@ -996,16 +1009,16 @@ ancovaClass <- R6::R6Class(
             factors <- self$options$factors
 
             if (is.factor(data[[dep]]))
-                reject('Dependent variable must be numeric')
+                reject(.('Dependent variable must be numeric'))
 
             for (factorName in factors) {
                 lvls <- base::levels(data[[factorName]])
-                if (length(lvls) == 1)
-                    reject("Factor '{}' contains only a single level", factorName=factorName)
-                else if (length(lvls) == 0)
-                    reject("Factor '{}' contains no data", factorName=factorName)
+                if (length(lvls) == 1) {
+                    reject(.("Factor '{factorName}' contains only a single level"), factorName=factorName)
+                } else if (length(lvls) == 0) {
+                    reject(.("Factor '{factorName}' contains no data"), factorName=factorName)
+                }
             }
-
         }),
     #### Active bindings ----
     active=list(
diff --git a/R/anova.b.R b/R/anova.b.R
index 5078a5f4..a1956a6c 100644
--- a/R/anova.b.R
+++ b/R/anova.b.R
@@ -1,18 +1,14 @@
 
+#' @importFrom jmvcore .
 anovaClass <- R6::R6Class(
     "anovaClass",
     inherit = ancovaClass,
     private = list(
         .init=function() {
             super$.init()
-            self$results$setTitle('ANOVA')
-
-            if ( ! is.null(self$options$dep))
-                self$results$main$setTitle(paste0('ANOVA - ', self$options$dep))
-            else
-                self$results$main$setTitle('ANOVA - \u2026')
-
-            self$results$residsOV$setDescription('Residuals from ANOVA')
+            self$results$setTitle(.('ANOVA'))
+            self$results$main$setTitle(self$options$eval('`ANOVA - ${dep}`'))
+            self$results$residsOV$setDescription(.('Residuals from ANOVA'))
         }
     ),
     public = list(
diff --git a/R/anovaonew.b.R b/R/anovaonew.b.R
index c7eb090b..4e76e8fa 100644
--- a/R/anovaonew.b.R
+++ b/R/anovaonew.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
     "anovaOneWClass",
     inherit = anovaOneWBase,
@@ -50,8 +51,8 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                 if (self$options$miss != 'listwise')
                     dataA <- na.omit(dataA)
 
-                welch <- oneway.test(dep ~ group, data=dataA, var.equal=FALSE)
-                fisher <-  oneway.test(dep ~ group, data=dataA, var.equal=TRUE)
+                welch <- stats::oneway.test(dep ~ group, data=dataA, var.equal=FALSE)
+                fisher <-  stats::oneway.test(dep ~ group, data=dataA, var.equal=TRUE)
                 residuals <- rstandard(lm(dep ~ group, data=dataA))
 
                 desc <- tapply(dataA$dep, dataA$group, function (x) {
@@ -87,9 +88,9 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             table <- self$results$anova
 
             if (self$options$fishers && !self$options$welchs)
-                table$setTitle("One-Way ANOVA (Fisher's)")
+                table$setTitle(.("One-Way ANOVA (Fisher's)"))
             else if (self$options$welchs && !self$options$fishers)
-                table$setTitle("One-Way ANOVA (Welch's)")
+                table$setTitle(.("One-Way ANOVA (Welch's)"))
 
         },
         .initDescTable = function() {
@@ -136,15 +137,17 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                 return()
 
             levels <- levels(self$data[[group]])
+            gamesHowellTableTitle <- .('Games-Howell Post-Hoc Test \u2013 {dep}')
+            tukeyTableTitle <- .('Tukey Post-Hoc Test \u2013 {dep}')
 
             for (i in seq_along(deps)) {
 
                 table <- tables[[i]]
 
                 if (self$options$phMethod == 'gamesHowell')
-                    table$setTitle(paste0('Games-Howell Post-Hoc Test \u2013 ', deps[i]))
+                    table$setTitle(jmvcore::format(gamesHowellTableTitle, dep=deps[i]))
                 else  if (self$options$phMethod == 'tukey')
-                    table$setTitle(paste0('Tukey Post-Hoc Test \u2013 ', deps[i]))
+                    table$setTitle(jmvcore::format(tukeyTableTitle, dep=deps[i]))
 
                 for (j in seq_along(levels)) {
 
@@ -247,6 +250,9 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
         },
         .populateShapiroWilkTable = function(results) {
 
+            tooFewSamplesMessage <- .('Too few samples to compute statistic (N < {n})')
+            tooManySamplesMessage <- .('Too many samples to compute statistic (N > {n})')
+
             table <- self$results$assump$norm
 
             for (dep in self$options$deps) {
@@ -260,13 +266,13 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
 
                     row[['w']] <- NaN
                     row[['p']] <- ''
-                    footnote <- 'Too few samples to compute statistic (N < 3)'
+                    footnote <- jmvcore::format(tooFewSamplesMessage, n=3)
 
                 } else if (length(r) > 5000) {
 
                     row[['w']] <- NaN
                     row[['p']] <- ''
-                    footnote <- 'Too many samples to compute statistic (N > 5000)'
+                    footnote <- jmvcore::format(tooManySamplesMessage, n=5000)
 
                 } else {
 
@@ -361,8 +367,8 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
 
             groupName <- self$options$group
 
-            ciw <- 95
-            errorType <- paste0('Mean (', ciw, '% CI)')
+            ciLegendTitle<- .("Mean ({ciWidth}% CI)")
+            errorType <- jmvcore::format(ciLegendTitle, ciWidth=95)
 
             p <- ggplot2::ggplot(data=image$state$df, ggplot2::aes(x=levels, y=mean)) +
                 ggplot2::geom_errorbar(ggplot2::aes(ymin=mean-ci, ymax=mean+ci, width=.1), size=.8, color=theme$color[2]) +
@@ -399,8 +405,8 @@ anovaOneWClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             p <- ggplot2::ggplot(data=image$state, ggplot2::aes(y=y, x=x)) +
                 ggplot2::geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 ggplot2::geom_point(size=2, colour=theme$color[1]) +
-                ggplot2::xlab("Theoretical Quantiles") +
-                ggplot2::ylab("Standardized Residuals") +
+                ggplot2::xlab(.("Theoretical Quantiles")) +
+                ggplot2::ylab(.("Standardized Residuals")) +
                 ggtheme
 
             return(p)
diff --git a/R/anovarm.b.R b/R/anovarm.b.R
index 25688bd4..39a43b6e 100755
--- a/R/anovarm.b.R
+++ b/R/anovarm.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 anovaRMClass <- R6::R6Class(
     "anovaRMClass",
     inherit=anovaRMBase,
@@ -64,8 +65,10 @@ anovaRMClass <- R6::R6Class(
 
         #### Init tables/plots functions ----
         .initRMTable=function() {
-            rmTable <- self$results$get('rmTable')
-            rmTable$setNote('Note', jmvcore::format("Type {} Sums of Squares", self$options$ss))
+            ssTypeNote <- .("Type {ssType} Sums of Squares")
+
+            rmTable <- self$results$rmTable
+            rmTable$setNote('Note', jmvcore::format(ssTypeNote, ssType=self$options$ss))
 
             rm <- private$.rmTerms()
             rmTerms <- rm$terms
@@ -73,15 +76,18 @@ anovaRMClass <- R6::R6Class(
 
             if (length(rmTerms) > 0) {
                 for (i in seq_along(rmTerms)) {
-                    name <- stringifyTerm(rmTerms[[i]])
+                    if (rmTerms[i] == 'Residual') {
+                        key <- unlist(c(rmTerms[[i-1]],'.RES'))
+                        name <- .("Residual")
+                    } else {
+                        key <- unlist(rmTerms[[i]])
+                        name <- stringifyTerm(rmTerms[[i]])
+                    }
                     values <- list(
                         `name[none]`=name,
                         `name[GG]`=name,
-                        `name[HF]`=name)
-                    if (rmTerms[i] == 'Residual')
-                        key <- unlist(c(rmTerms[[i-1]],'.RES'))
-                    else
-                        key <- unlist(rmTerms[[i]])
+                        `name[HF]`=name
+                    )
                     rmTable$addRow(rowKey=key, values)
                 }
             } else {
@@ -89,9 +95,10 @@ anovaRMClass <- R6::R6Class(
                 values <- list(
                     `name[none]`=name,
                     `name[GG]`=name,
-                    `name[HF]`=name)
+                    `name[HF]`=name
+                )
                 rmTable$addRow(rowKey='.', values)
-                rmTable$addRow(rowKey='', list(name='Residual'))
+                rmTable$addRow(rowKey='', list(name=.('Residual')))
             }
 
             for (i in seq_along(rmSpacing)) {
@@ -106,16 +113,24 @@ anovaRMClass <- R6::R6Class(
             }
         },
         .initBSTable=function() {
-            bsTable <- self$results$get('bsTable')
-            bsTable$setNote('Note', jmvcore::format("Type {} Sums of Squares", self$options$ss))
+            ssTypeNote <- .("Type {ssType} Sums of Squares")
+
+            bsTable <- self$results$bsTable
+            bsTable$setNote('Note', jmvcore::format(ssTypeNote, ssType=self$options$ss))
 
             bsTerms <- private$.bsTerms()
 
             if (length(bsTerms) > 0) {
-                for (term in bsTerms)
-                    bsTable$addRow(rowKey=unlist(term), list(name=stringifyTerm(term)))
+                for (term in bsTerms) {
+                    if (term == 'Residual') {
+                        name <- .('Residual')
+                    } else {
+                        name <- stringifyTerm(term)
+                    }
+                    bsTable$addRow(rowKey=unlist(term), list(name=name))
+                }
             } else {
-                bsTable$addRow(rowKey='', list(name='Residual'))
+                bsTable$addRow(rowKey='', list(name=.('Residual')))
             }
         },
         .initSpericityTable=function() {
@@ -148,22 +163,23 @@ anovaRMClass <- R6::R6Class(
             tables <- self$results$postHoc
 
             postHocRows <- list()
+            postHocTableTitle <- .('Post Hoc Comparisons - {term}')
 
             for (ph in phTerms) {
 
                 table <- tables$get(key=ph)
 
-                table$setTitle(paste0('Post Hoc Comparisons - ', stringifyTerm(ph)))
+                table$setTitle(jmvcore::format(postHocTableTitle, term=stringifyTerm(ph)))
 
                 for (i in seq_along(ph))
-                    table$addColumn(name=paste0(ph[i],'1'), title=ph[i], type='text', superTitle='Comparison', combineBelow=TRUE)
+                    table$addColumn(name=paste0(ph[i],'1'), title=ph[i], type='text', superTitle=.('Comparison'), combineBelow=TRUE)
 
-                table$addColumn(name='sep', title='', type='text', content='-', superTitle='Comparison', format='narrow')
+                table$addColumn(name='sep', title='', type='text', content='-', superTitle=.('Comparison'), format='narrow')
 
                 for (i in seq_along(ph))
-                    table$addColumn(name=paste0(ph[i],'2'), title=ph[i], type='text', superTitle='Comparison')
+                    table$addColumn(name=paste0(ph[i],'2'), title=ph[i], type='text', superTitle=.('Comparison'))
 
-                table$addColumn(name='md', title='Mean Difference', type='number')
+                table$addColumn(name='md', title=.('Mean Difference'), type='number')
                 table$addColumn(name='se', title='SE', type='number')
                 table$addColumn(name='df', title='df', type='number')
                 table$addColumn(name='t', title='t', type='number')
@@ -242,6 +258,9 @@ anovaRMClass <- R6::R6Class(
 
             group <- self$results$emm
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (j in seq_along(emMeans)) {
 
                 emm <- emMeans[[j]]
@@ -251,7 +270,7 @@ anovaRMClass <- R6::R6Class(
                     emmGroup <- group$get(key=j)
 
                     table <- emmGroup$emmTable
-                    table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                    table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                     nLevels <- numeric(length(emm))
                     for (k in rev(seq_along(emm))) {
@@ -264,10 +283,10 @@ anovaRMClass <- R6::R6Class(
                         }
                     }
 
-                    table$addColumn(name='mean', title='Mean', type='number')
+                    table$addColumn(name='mean', title=.('Mean'), type='number')
                     table$addColumn(name='se', title='SE', type='number')
-                    table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'))
-                    table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'))
+                    table$addColumn(name='lower', title='Lower', type='number', superTitle=ciWidthTitle)
+                    table$addColumn(name='upper', title='Upper', type='number', superTitle=ciWidthTitle)
 
                     nRows <- prod(nLevels)
 
@@ -491,7 +510,7 @@ anovaRMClass <- R6::R6Class(
 
                         spherTable$setRow(rowKey=term, values=list('mauch'=1, 'p'=NaN, 'gg'=1, 'hf'=1))
                         if (length(spherTable$getRow(rowKey=term)$name$footnotes) == 0)
-                            spherTable$addFootnote(rowKey=term, 'p', 'The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels')
+                            spherTable$addFootnote(rowKey=term, 'p', .('The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels.'))
 
                     } else {
 
@@ -511,12 +530,12 @@ anovaRMClass <- R6::R6Class(
                     if (any(nLevels > 2)) {
                         spherTable$setRow(rowKey=term, values=list('mauch'=NaN, 'p'=NaN, 'gg'=NaN, 'hf'=NaN))
                         if (length(spherTable$getRow(rowKey=term)$name$footnotes) == 0)
-                            spherTable$addFootnote(rowKey=term, 'name', 'Singularity error. Sphericity tests are not available')
+                            spherTable$addFootnote(rowKey=term, 'name', .('Singularity error. Sphericity tests are not available'))
 
                     } else {
                         spherTable$setRow(rowKey=term, values=list('mauch'=1, 'p'=NaN, 'gg'=1, 'hf'=1))
                         if (length(spherTable$getRow(rowKey=term)$name$footnotes) == 0)
-                            spherTable$addFootnote(rowKey=term, 'p', 'The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels')
+                            spherTable$addFootnote(rowKey=term, 'p', .('The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels'))
                     }
                 }
             }
@@ -535,7 +554,7 @@ anovaRMClass <- R6::R6Class(
             if (length(bsVars) == 0) {
                 for (var in rmVars) {
                     leveneTable$setRow(rowKey=var, values=list('F'=NaN, 'df1'='', 'df2'='', 'p'=''))
-                    leveneTable$addFootnote(rowKey=var, 'F', 'As there are no between subjects factors specified this assumption is always met.')
+                    leveneTable$addFootnote(rowKey=var, 'F', .('As there are no between subjects factors specified this assumption is always met.'))
                 }
                 return()
             }
@@ -724,8 +743,8 @@ anovaRMClass <- R6::R6Class(
             p <- ggplot(data=df, aes(y=y, x=x)) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 geom_point(aes(x=x,y=y), size=2, colour=theme$color[1]) +
-                xlab("Theoretical Quantiles") +
-                ylab("Standardized Residuals") +
+                xlab(.("Theoretical Quantiles")) +
+                ylab(.("Standardized Residuals")) +
                 ggtheme
 
             return(p)
@@ -885,22 +904,33 @@ anovaRMClass <- R6::R6Class(
 
             # Check all values
             allNAItems <- sapply(c(dataFactors, dataNumeric), function(x) all(is.na(x)))
-            if (any(allNAItems))
-                jmvcore::reject("Item '{}' contains only missing values", code='error', c(bs,varsNumeric)[allNAItems])
+            if (any(allNAItems)) {
+                onlyContainsMissingsMessage <- .("Item '{item}' contains only missing values")
+                jmvcore::reject(onlyContainsMissingsMessage, code='error', item=c(bs,varsNumeric)[allNAItems])
+            }
 
             # Check factor values
             singleLevelItems <- sapply(dataFactors, function(x) length(levels(x)) == 1)
-            if (any(singleLevelItems))
-                jmvcore::reject("Item '{}' consists of one level only", code='error', bs[singleLevelItems])
+            if (any(singleLevelItems)) {
+                oneLevelOnlyMessage <- .("Item '{item}' consists of one level only")
+                jmvcore::reject(oneLevelOnlyMessage, code='error', item=bs[singleLevelItems])
+            }
+
 
             # Check numeric values
             factorItems <- sapply(dataNumeric, function(x) class(jmvcore::toNumeric(x)) == "factor")
             infItems <- sapply(dataNumeric, function(x) any(is.infinite(x)))
             noVarItems <- sapply(dataNumeric, function(x) var(x, na.rm = TRUE) == 0)
-            if (any(factorItems))
-                jmvcore::reject("Item '{}' needs to be numeric", code='error', varsNumeric[factorItems])
-            if (any(infItems))
-                jmvcore::reject("Item '{}' contains infinite values", code='error', varsNumeric[infItems])
+            if (any(factorItems)) {
+                notNumericMessage <- .("Item '{item}' needs to be numeric")
+                jmvcore::reject(notNumericMessage, code='error', item=varsNumeric[factorItems])
+            }
+
+            if (any(infItems)) {
+                infiniteValuesMessage <- .("Item '{item}' contains infinite values")
+                jmvcore::reject(infiniteValuesMessage, code='error', item=varsNumeric[infItems])
+            }
+
             # if (any(noVarItems))
             #     jmvcore::reject("Item '{}' has no variance", code='error', varsNumeric[noVarItems])
         },
diff --git a/R/anovarmnp.b.R b/R/anovarmnp.b.R
index 3577ee38..94493b33 100644
--- a/R/anovarmnp.b.R
+++ b/R/anovarmnp.b.R
@@ -103,7 +103,7 @@ anovaRMNPClass <- R6::R6Class(
         if (is.null(image$state))
             return(FALSE)
 
-        p <- ggplot(data=image$state) + labs(x="Measure", y="Value") + ggtheme
+        p <- ggplot(data=image$state) + labs(x=.("Measure"), y=.("Value")) + ggtheme
 
         if (self$options$plotType == "means")
             p <- p + geom_point(aes(x=group, y=mean), shape=21, color=theme$color[1], fill=theme$fill[1], size=3)
diff --git a/R/cfa.b.R b/R/cfa.b.R
index 2ce09de5..75dee379 100644
--- a/R/cfa.b.R
+++ b/R/cfa.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 cfaClass <- R6::R6Class(
     "cfaClass",
     inherit = cfaBase,
@@ -75,8 +76,10 @@ cfaClass <- R6::R6Class(
             rowNo <- 1
 
             ciWidth <- self$options$ciWidth
-            table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-            table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+
+            table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+            table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
             for (i in seq_along(factors)) {
 
@@ -93,7 +96,7 @@ cfaClass <- R6::R6Class(
                                     "z"='', "p"='', "lower"='', "upper"='')
 
                         table$addRow(rowKey=rowNo, values=row)
-                        table$addFootnote(rowKey=rowNo, 'est', 'fixed parameter')
+                        table$addFootnote(rowKey=rowNo, 'est', .('fixed parameter'))
 
                     } else {
 
@@ -116,8 +119,10 @@ cfaClass <- R6::R6Class(
             rowNo <- 1
 
             ciWidth <- self$options$ciWidth
-            table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-            table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+
+            table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+            table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
             if (length(factors) == 0)
                 return()
@@ -134,7 +139,7 @@ cfaClass <- R6::R6Class(
                                     "z"='', "p"='', "lower"='', "upper"='', "stdEst"='')
 
                         table$addRow(rowKey=rowNo, values=row)
-                        table$addFootnote(rowKey=rowNo, 'est', 'fixed parameter')
+                        table$addFootnote(rowKey=rowNo, 'est', .('fixed parameter'))
 
                     } else {
 
@@ -156,8 +161,10 @@ cfaClass <- R6::R6Class(
             factors <- sapply(self$options$factors, function(x) x$label)
 
             ciWidth <- self$options$ciWidth
-            table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-            table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+
+            table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+            table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
             for (i in 1:length(factors)) {
 
@@ -165,7 +172,7 @@ cfaClass <- R6::R6Class(
                             "p"='', "lower"='', "upper"='', "stdEst"='')
 
                 table$addRow(rowKey=i, values=row)
-                table$addFootnote(rowKey=i, 'est', 'fixed parameter')
+                table$addFootnote(rowKey=i, 'est', .('fixed parameter'))
             }
         },
         .initResCovTable = function() {
@@ -176,8 +183,10 @@ cfaClass <- R6::R6Class(
             rowNo <- 1
 
             ciWidth <- self$options$ciWidth
-            table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-            table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+
+            table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+            table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
             if (length(vars) == 0)
                 return()
@@ -225,8 +234,10 @@ cfaClass <- R6::R6Class(
             vars <- unique(unlist(lapply(self$options$factors, function(x) x$vars)))
 
             ciWidth <- self$options$ciWidth
-            table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-            table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+
+            table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+            table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
             for (i in seq_along(vars))
                 table$addRow(rowKey=i, values=list('var'=vars[i]))
@@ -725,7 +736,7 @@ cfaClass <- R6::R6Class(
 
             if (length(resCov) > 0) {
 
-                model <- paste(model,  model <- '\n\n# Residual covariances')
+                model <- paste(model,  '\n\n# Residual covariances')
 
                 for (i in seq_along(resCov)) {
 
diff --git a/R/constants.R b/R/constants.R
index ba2e758f..1801ed61 100644
--- a/R/constants.R
+++ b/R/constants.R
@@ -1 +1 @@
-SINGULAR_WARNING = "Linear model contains aliased coefficients (singular fit)"
+SINGULAR_WARNING <- "Linear model contains aliased coefficients (singular fit)"
diff --git a/R/conttables.b.R b/R/conttables.b.R
index 0ebadf17..8bb6ffc0 100644
--- a/R/conttables.b.R
+++ b/R/conttables.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 contTablesClass <- R6::R6Class(
     "contTablesClass",
     inherit=contTablesBase,
@@ -59,7 +60,7 @@ contTablesClass <- R6::R6Class(
             }
 
             subNames  <- c('[count]', '[expected]', '[pcRow]', '[pcCol]', '[pcTot]')
-            subTitles <- c('Observed', 'Expected', '% within row', '% within column', '% of total')
+            subTitles <- c(.('Observed'), .('Expected'), .('% within row'), .('% within column'), .('% of total'))
             visible   <- c('(obs)', '(exp)', '(pcRow)', '(pcCol)', '(pcTot)')
             types     <- c('integer', 'number', 'number', 'number', 'number')
             formats   <- c('', '', 'pc', 'pc', 'pc')
@@ -100,21 +101,21 @@ contTablesClass <- R6::R6Class(
             if (self$options$obs) {
                 freqs$addColumn(
                     name='.total[count]',
-                    title='Total',
+                    title=.('Total'),
                     type='integer')
             }
 
             if (self$options$exp) {
                 freqs$addColumn(
                     name='.total[exp]',
-                    title='Total',
+                    title=.('Total'),
                     type='number')
             }
 
             if (self$options$pcRow) {
                 freqs$addColumn(
                     name='.total[pcRow]',
-                    title='Total',
+                    title=.('Total'),
                     type='number',
                     format='pc')
             }
@@ -122,7 +123,7 @@ contTablesClass <- R6::R6Class(
             if (self$options$pcCol) {
                 freqs$addColumn(
                     name='.total[pcCol]',
-                    title='Total',
+                    title=.('Total'),
                     type='number',
                     format='pc')
             }
@@ -130,7 +131,7 @@ contTablesClass <- R6::R6Class(
             if (self$options$pcTot) {
                 freqs$addColumn(
                     name='.total[pcTot]',
-                    title='Total',
+                    title=.('Total'),
                     type='number',
                     format='pc')
             }
@@ -150,7 +151,7 @@ contTablesClass <- R6::R6Class(
                 for (name in colnames(rows)) {
                     value <- as.character(rows[i, name])
                     if (value == '.total')
-                        value <- 'Total'
+                        value <- .('Total')
                     values[[name]] <- value
                 }
 
@@ -189,7 +190,7 @@ contTablesClass <- R6::R6Class(
                     for (name in dimnames(rows)[[2]]) {
                         value <- as.character(rows[i, name])
                         if (value == '.total')
-                            value <- 'Total'
+                            value <- .('Total')
                         values[[name]] <- value
                     }
 
@@ -202,7 +203,7 @@ contTablesClass <- R6::R6Class(
                 }
             }
 
-            ciText <- paste0(self$options$ciWidth, '% Confidence Intervals')
+            ciText <- jmvcore::format(.('{ciWidth}% Confidence Intervals'), ciWidth=self$options$ciWidth)
             odds$getColumn('cil[dp]')$setSuperTitle(ciText)
             odds$getColumn('ciu[dp]')$setSuperTitle(ciText)
             odds$getColumn('cil[lo]')$setSuperTitle(ciText)
@@ -228,16 +229,16 @@ contTablesClass <- R6::R6Class(
             data <- private$.cleanData()
 
             if (nlevels(data[[rowVarName]]) < 2)
-                jmvcore::reject("Row variable '{}' contains less than 2 levels", code='', rowVarName)
+                jmvcore::reject(.("Row variable '{var}' contains fewer than 2 levels"), code='', var=rowVarName)
             if (nlevels(data[[colVarName]]) < 2)
-                jmvcore::reject("Column variable '{}' contains less than 2 levels", code='', colVarName)
+                jmvcore::reject(.("Column variable '{var}' contains fewer than 2 levels"), code='', var=colVarName)
 
             if ( ! is.null(countsName)) {
                 countCol <- data[[countsName]]
                 if (any(countCol < 0, na.rm=TRUE))
-                    jmvcore::reject('Counts may not be negative')
+                    jmvcore::reject(.('Counts may not be negative'))
                 if (any(is.infinite(countCol)))
-                    jmvcore::reject('Counts may not be infinite')
+                    jmvcore::reject(.('Counts may not be infinite'))
             }
 
             freqs <- self$results$freqs
@@ -259,14 +260,14 @@ contTablesClass <- R6::R6Class(
                     variable <- rowVarName
                     groups <- base::levels(data[[rowVarName]])
                 } else {
-                    groups <- c('Group 1', 'Group 2')
+                    groups <- c(.('Group 1'), .('Group 2'))
                 }
             } else { # compare columns
                 if (!is.null(colVarName)) {
                     variable <- colVarName
                     groups <- base::levels(data[[colVarName]])
                 } else {
-                    groups <- c('Group 1', 'Group 2')
+                    groups <- c(.('Group 1'), .('Group 2'))
                 }
             }
 
@@ -467,7 +468,7 @@ contTablesClass <- R6::R6Class(
                     hypothesisTested <- 'two-sided'
 
                 if (is.null(zP))
-                    chiSq$addFootnote(rowNo=othRowNo, 'value[zProp]', 'z test only available for 2x2 tables')
+                    chiSq$addFootnote(rowNo=othRowNo, 'value[zProp]', .('z test only available for 2x2 tables'))
                 else if (hypothesis!="different")
                     chiSq$addFootnote(rowNo=othRowNo, 'p[zProp]', hypothesisTested)
 
@@ -507,9 +508,9 @@ contTablesClass <- R6::R6Class(
                     mh$setRow(rowNo=othRowNo, values=values)
 
                     if (base::inherits(mhchi2, 'try-error') || is.na(mhchi2))
-                        mh$addFootnote(rowNo=othRowNo, 'chi2', 'Variables must have at least two levels')
+                        mh$addFootnote(rowNo=othRowNo, 'chi2', .('Variables must have at least two levels'))
                     else if (mhchi2 == -1)
-                        mh$addFootnote(rowNo=othRowNo, 'chi2', 'At least one variable must have two levels')
+                        mh$addFootnote(rowNo=othRowNo, 'chi2', .('At least one variable must have two levels'))
                 }
 
                 if ( ! is.null(lor)) {
@@ -527,11 +528,14 @@ contTablesClass <- R6::R6Class(
                         `v[rr]`=rr$rr,
                         `cil[rr]`=rr$lower,
                         `ciu[rr]`=rr$upper))
-                    odds$addFootnote(rowNo=othRowNo, 'v[dp]', paste(self$options$compare, 'compared'))
-                    odds$addFootnote(rowNo=othRowNo, 'v[rr]', paste(self$options$compare, 'compared'))
+                    
+                    footnote <- `if`(self$options$compare == 'rows', .('Rows compared'), .('Columns compared'))
+                    odds$addFootnote(rowNo=othRowNo, 'v[dp]', footnote)
+                    odds$addFootnote(rowNo=othRowNo, 'v[rr]', footnote)
+                    
                     if (any(mat == 0)){
-                        odds$addFootnote(rowNo=othRowNo, 'v[lo]', 'Haldane-Ascombe correction applied')
-                        odds$addFootnote(rowNo=othRowNo, 'v[o]', 'Haldane-Ascombe correction applied')
+                        odds$addFootnote(rowNo=othRowNo, 'v[lo]', .('Haldane-Anscombe correction applied'))
+                        odds$addFootnote(rowNo=othRowNo, 'v[o]', .('Haldane-Anscombe correction applied'))
                     }
                 } else {
                     odds$setRow(rowNo=othRowNo, list(
@@ -539,10 +543,10 @@ contTablesClass <- R6::R6Class(
                         `v[lo]`=NaN, `cil[lo]`='', `ciu[lo]`='',
                         `v[o]`=NaN, `cil[o]`='', `ciu[o]`='',
                         `v[rr]`=NaN, `cil[rr]`='', `ciu[rr]`=''))
-                    odds$addFootnote(rowNo=othRowNo, 'v[dp]', 'Available for 2x2 tables only')
-                    odds$addFootnote(rowNo=othRowNo, 'v[lo]', 'Available for 2x2 tables only')
-                    odds$addFootnote(rowNo=othRowNo, 'v[o]', 'Available for 2x2 tables only')
-                    odds$addFootnote(rowNo=othRowNo, 'v[rr]', 'Available for 2x2 tables only')
+                    odds$addFootnote(rowNo=othRowNo, 'v[dp]', .('Available for 2x2 tables only'))
+                    odds$addFootnote(rowNo=othRowNo, 'v[lo]', .('Available for 2x2 tables only'))
+                    odds$addFootnote(rowNo=othRowNo, 'v[o]', .('Available for 2x2 tables only'))
+                    odds$addFootnote(rowNo=othRowNo, 'v[rr]', .('Available for 2x2 tables only'))
                 }
 
                 othRowNo <- othRowNo + 1
@@ -568,16 +572,27 @@ contTablesClass <- R6::R6Class(
                 return()
 
             rowVarName <- self$options$rows
+            if (! is.null(rowVarName))
+                rowVarName <- jmvcore::toB64(rowVarName)
+
             colVarName <- self$options$cols
+            if (! is.null(colVarName))
+                colVarName <- jmvcore::toB64(colVarName)
+
             countsName <- self$options$counts
+            if (! is.null(countsName))
+                countsName <- jmvcore::toB64(countsName)
+
             layerNames <- self$options$layers
+            if (! is.null(layerNames))
+                layerNames <- jmvcore::toB64(layerNames)
             if (length(layerNames) > 2)
                 layerNames <- layerNames[1:2] # max 2
 
             if (is.null(rowVarName) || is.null(colVarName))
                 return()
 
-            data <- private$.cleanData()
+            data <- private$.cleanData(B64 = TRUE)
             data <- na.omit(data)
 
             if (! is.null(countsName)){
@@ -636,18 +651,20 @@ contTablesClass <- R6::R6Class(
             if (self$options$yaxis == "ycounts") {
                 p <- ggplot(data=tab, aes(y=Counts, x=!!xVarName, fill=!!zVarName)) +
                     geom_col(position=position, width = 0.7) +
-                    labs(y = "Counts")
+                    labs(y = .("Counts"))
             } else {
                 p <- ggplot(data=tab, aes(y=Percentages, x=!!xVarName, fill=!!zVarName)) +
                     geom_col(position=position, width = 0.7)
 
                 if (self$options$yaxisPc == "total_pc") {
-                    p <- p + labs(y = "Percentages of total")
+                    p <- p + labs(y = .("Percentages of total"))
                 } else {
-                    p <- p + labs(y = paste0("Percentages within ", pctVarName))
+                    p <- p + labs(y = jmvcore::format(.("Percentages within {var}"), var=jmvcore::fromB64(pctVarName)))
                 }
             }
 
+            p <- p + labs(x=jmvcore::fromB64(xVarName), fill=jmvcore::fromB64(zVarName))
+
             if (! is.null(layerNames)) {
                 if (length(layerNames) == 1)
                     layers <- as.formula(jmvcore::composeFormula(NULL, layerNames))
@@ -662,7 +679,7 @@ contTablesClass <- R6::R6Class(
         },
 
         #### Helper functions ----
-        .cleanData = function() {
+        .cleanData = function(B64 = FALSE) {
 
             data <- self$data
 
@@ -671,16 +688,24 @@ contTablesClass <- R6::R6Class(
             layerNames <- self$options$layers
             countsName <- self$options$counts
 
-            if ( ! is.null(rowVarName))
-                data[[rowVarName]] <- as.factor(data[[rowVarName]])
-            if ( ! is.null(colVarName))
-                data[[colVarName]] <- as.factor(data[[colVarName]])
-            for (layerName in layerNames)
-                data[[layerName]] <- as.factor(data[[layerName]])
-            if ( ! is.null(countsName))
-                data[[countsName]] <- toNumeric(data[[countsName]])
+            if ( ! is.null(rowVarName)) {
+                rowVarNameNew <- ifelse(B64, jmvcore::toB64(rowVarName), rowVarName)
+                data[[rowVarNameNew]] <- as.factor(data[[rowVarName]])
+            }
+            if ( ! is.null(colVarName)) {
+                colVarNameNew <- ifelse(B64, jmvcore::toB64(colVarName), colVarName)
+                data[[colVarNameNew]] <- as.factor(data[[colVarName]])
+            }
+            for (layerName in layerNames) {
+                layerNameNew <- ifelse(B64, jmvcore::toB64(layerName), layerName)
+                data[[layerNameNew]] <- as.factor(data[[layerName]])
+            }
+            if ( ! is.null(countsName)) {
+                countsNameNew <- ifelse(B64, jmvcore::toB64(countsName), countsName)
+                data[[countsNameNew]] <- jmvcore::toNumeric(data[[countsName]])
+            }
 
-            data
+            return(data)
         },
         .matrices=function(data) {
 
@@ -757,7 +782,7 @@ contTablesClass <- R6::R6Class(
 
             if (incRows) {
                 if (is.null(rowVarName))
-                    expand[['.']] <- c('.', '. ', 'Total')
+                    expand[['.']] <- c('.', '. ', .('Total'))
                 else
                     expand[[rowVarName]] <- c(base::levels(data[[rowVarName]]), '.total')
             }
diff --git a/R/conttablespaired.b.R b/R/conttablespaired.b.R
index 63ba1730..f87e9734 100644
--- a/R/conttablespaired.b.R
+++ b/R/conttablespaired.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 contTablesPairedClass <- R6::R6Class(
     "contTablesPairedClass",
     inherit = contTablesPairedBase,
@@ -33,17 +34,17 @@ contTablesPairedClass <- R6::R6Class(
             data <- private$.cleanData()
 
             if (nlevels(data[[rowVarName]]) < 2)
-                jmvcore::reject("Row variable '{}' contains fewer than 2 levels", code='', rowVarName)
+                jmvcore::reject(.("Row variable '{var}' contains fewer than 2 levels"), code='', var=rowVarName)
             if (nlevels(data[[colVarName]]) < 2)
-                jmvcore::reject("Column variable '{}' contains fewer than 2 levels", code='', colVarName)
+                jmvcore::reject(.("Column variable '{var}' contains fewer than 2 levels"), code='', var=colVarName)
 
             if ( ! is.null(countsName)) {
                 countCol <- jmvcore::toNumeric(data[[countsName]])
 
                 if (any(countCol < 0, na.rm=TRUE))
-                    jmvcore::reject('Counts may not be negative')
+                    jmvcore::reject(.('Counts may not be negative'))
                 if (any(is.infinite(countCol)))
-                    jmvcore::reject('Counts may not be infinite')
+                    jmvcore::reject(.('Counts may not be infinite'))
             }
 
             rowVar <- data[[rowVarName]]
@@ -146,27 +147,27 @@ contTablesPairedClass <- R6::R6Class(
             if (base::inherits(wocor, 'try-error')) {
                 error <- jmvcore::extractErrorMessage(wocor)
                 if (error == "'x' must be square with at least two rows and columns")
-                    error <- 'McNemar requires a 2x2 table'
+                    error <- .('McNemar requires a 2x2 table')
                 else if (error == "all entries of 'x' must be nonnegative and finite")
-                    error <- 'Counts must be non-negative and finite'
+                    error <- .('Counts must be non-negative and finite')
                 test$addFootnote(rowNo=1, 'value[mcn]', error)
             }
 
             if (base::inherits(wcor, 'try-error')) {
                 error <- jmvcore::extractErrorMessage(wcor)
                 if (error == "'x' must be square with at least two rows and columns")
-                    error <- 'McNemar requires a 2x2 table'
+                    error <- .('McNemar requires a 2x2 table')
                 else if (error == "all entries of 'x' must be nonnegative and finite")
-                    error <- 'Counts must be non-negative and finite'
+                    error <- .('Counts must be non-negative and finite')
                 test$addFootnote(rowNo=1, 'value[cor]', error)
             }
 
             if (base::inherits(exact, 'try-error')) {
                 error <- jmvcore::extractErrorMessage(exact)
                 if (error == "table must be 2 by 2")
-                    error <- 'McNemar requires a 2x2 table'
+                    error <- .('McNemar requires a 2x2 table')
                 else if (error == "all entries of 'x' must be nonnegative and finite")
-                    error <- 'Counts must be non-negative and finite'
+                    error <- .('Counts must be non-negative and finite')
                 test$addFootnote(rowNo=1, 'value[exa]', error)
             }
         },
@@ -207,7 +208,7 @@ contTablesPairedClass <- R6::R6Class(
                               self$options$pcCol) > 0
 
             subNames  <- c('[count]', '[pcRow]', '[pcCol]')
-            subTitles <- c('Count', '% within row', '% within column')
+            subTitles <- c(.('Count'), .('% within row'), .('% within column'))
             visible   <- c('TRUE', '(pcRow)', '(pcCol)')
             types     <- c('integer', 'number', 'number')
             formats   <- c('', 'pc', 'pc')
@@ -247,7 +248,7 @@ contTablesPairedClass <- R6::R6Class(
 
             freqs$addColumn(
                 name='.total[count]',
-                title='Total',
+                title=.('Total'),
                 type='integer')
 
             # populate the first column with levels of the row variable
@@ -262,7 +263,7 @@ contTablesPairedClass <- R6::R6Class(
                 for (name in dimnames(rows)[[2]]) {
                     value <- as.character(rows[i, name])
                     if (value == '.total')
-                        value <- 'Total'
+                        value <- .('Total')
                     values[[name]] <- value
                 }
                 key <- paste0(rows[i,], collapse='`')
@@ -288,7 +289,7 @@ contTablesPairedClass <- R6::R6Class(
 
             if (incRows) {
                 if (is.null(rowVarName))
-                    expand[['.']] <- c('.', '. ', 'Total')
+                    expand[['.']] <- c('.', '. ', .('Total'))
                 else
                     expand[[rowVarName]] <- c(base::levels(data[[rowVarName]]), '.total')
             }
diff --git a/R/corrmatrix.b.R b/R/corrmatrix.b.R
index 13187bdd..6d974a09 100644
--- a/R/corrmatrix.b.R
+++ b/R/corrmatrix.b.R
@@ -1,13 +1,14 @@
 
+#' @importFrom jmvcore .
 corrMatrixClass <- R6::R6Class(
   "corrMatrixClass",
   inherit=corrMatrixBase,
   private=list(
     .init=function() {
-        matrix <- self$results$get('matrix')
-        vars <- self$options$get('vars')
+        matrix <- self$results$matrix
+        vars <- self$options$vars
         nVars <- length(vars)
-        ciw <- self$options$get('ciWidth')
+        ciw <- self$options$ciWidth
 
         for (i in seq_along(vars)) {
             var <- vars[[i]]
@@ -60,8 +61,8 @@ corrMatrixClass <- R6::R6Class(
             values[[paste0(var, '[taup]')]] <- '\u2014'
             values[[paste0(var, '[n]')]] <- '\u2014'
 
-            values[['.stat[rciu]']] <- paste0(ciw, '% CI Upper')
-            values[['.stat[rcil]']] <- paste0(ciw, '% CI Lower')
+            values[['.stat[rciu]']] <- jmvcore::format(.('{ciWidth}% CI Upper'), ciWidth=ciw)
+            values[['.stat[rcil]']] <- jmvcore::format(.('{ciWidth}% CI Lower'), ciWidth=ciw)
 
             matrix$setRow(rowKey=var, values)
         }
@@ -70,16 +71,16 @@ corrMatrixClass <- R6::R6Class(
         flag <- self$options$get('flag')
 
         if (hyp == 'pos') {
-            matrix$setNote('hyp', 'H\u2090 is positive correlation')
+            matrix$setNote('hyp', .('H\u2090 is positive correlation'))
             hyp <- 'greater'
             if (flag)
-                matrix$setNote('flag', '* p < .05, ** p < .01, *** p < .001, one-tailed')
+                matrix$setNote('flag', .('* p < .05, ** p < .01, *** p < .001, one-tailed'))
         }
         else if (hyp == 'neg') {
-            matrix$setNote('hyp', 'H\u2090 is negative correlation')
+            matrix$setNote('hyp', .('H\u2090 is negative correlation'))
             hyp <- 'less'
             if (flag)
-                matrix$setNote('flag', '* p < .05, ** p < .01, *** p < .001, one-tailed')
+                matrix$setNote('flag', .('* p < .05, ** p < .01, *** p < .001, one-tailed'))
         }
         else {
             matrix$setNote('hyp', NULL)
@@ -94,12 +95,12 @@ corrMatrixClass <- R6::R6Class(
     },
     .run=function() {
 
-        matrix <- self$results$get('matrix')
-        vars <- self$options$get('vars')
+        matrix <- self$results$matrix
+        vars <- self$options$vars
         nVars <- length(vars)
 
-        hyp <- self$options$get('hypothesis')
-        flag <- self$options$get('flag')
+        hyp <- self$options$hypothesis
+        flag <- self$options$flag
 
         if (hyp == 'pos')
             hyp <- 'greater'
diff --git a/R/corrpart.b.R b/R/corrpart.b.R
index a5544ba0..889e6e37 100644
--- a/R/corrpart.b.R
+++ b/R/corrpart.b.R
@@ -1,3 +1,5 @@
+
+#' @importFrom jmvcore .
 corrPartClass <- R6::R6Class(
     "corrPartClass",
     inherit = corrPartBase,
@@ -105,18 +107,21 @@ corrPartClass <- R6::R6Class(
             nControls <- length(controls)
 
             if (length(controls) > 0) {
-                matrix$setNote('controls', jmvcore::format('controlling for {}', listItems(controls)))
+                matrix$setNote(
+                    'controls',
+                    jmvcore::format(.('controlling for {items}'), items=listItems(self, controls))
+                )
             }
 
             if (hyp == 'pos') {
-                matrix$setNote('hyp', 'H\u2090 is positive correlation')
+                matrix$setNote('hyp', .('H\u2090 is positive correlation'))
                 if (flag)
-                    matrix$setNote('flag', '* p < .05, ** p < .01, *** p < .001, one-tailed')
+                    matrix$setNote('flag', .('* p < .05, ** p < .01, *** p < .001, one-tailed'))
             }
             else if (hyp == 'neg') {
-                matrix$setNote('hyp', 'H\u2090 is negative correlation')
+                matrix$setNote('hyp', .('H\u2090 is negative correlation'))
                 if (flag)
-                    matrix$setNote('flag', '* p < .05, ** p < .01, *** p < .001, one-tailed')
+                    matrix$setNote('flag', .('* p < .05, ** p < .01, *** p < .001, one-tailed'))
             }
             else {
                 matrix$setNote('hyp', NULL)
@@ -128,12 +133,12 @@ corrPartClass <- R6::R6Class(
                 matrix$setNote('flag', NULL)
 
             if (type == 'part' && nControls > 0) {
-                titleMatrix <- "Partial Correlation"
+                titleMatrix <- .("Partial Correlation")
             } else if (type == 'semi' && nControls > 0) {
-                titleMatrix <- "Semipartial Correlation"
-                matrix$setNote('part', 'variation from the control variables is only removed from the variables in the columns')
+                titleMatrix <- .("Semipartial Correlation")
+                matrix$setNote('part', .('variation from the control variables is only removed from the variables in the columns'))
             } else {
-                titleMatrix <- "Correlation"
+                titleMatrix <- .("Correlation")
             }
 
             pearson <- self$options$pearson
@@ -144,11 +149,11 @@ corrPartClass <- R6::R6Class(
 
             if ( ! sum(pearson, spearman, kendall) > 1  && ! n && ! sig) {
                 if (pearson)
-                    titleMatrix <- jmvcore::format("{} - Pearson's r", titleMatrix)
+                    titleMatrix <- jmvcore::format(.("{} - Pearson's r"), titleMatrix)
                 else if (spearman)
-                    titleMatrix <- jmvcore::format("{} - Spearman's rho", titleMatrix)
+                    titleMatrix <- jmvcore::format(.("{} - Spearman's rho"), titleMatrix)
                 else if (kendall)
-                    titleMatrix <- jmvcore::format("{} - Kendall's Tau B", titleMatrix)
+                    titleMatrix <- jmvcore::format(.("{} - Kendall's Tau B"), titleMatrix)
             }
 
             matrix$setTitle(titleMatrix)
diff --git a/R/descriptives.b.R b/R/descriptives.b.R
index 41622f41..9e8a081d 100644
--- a/R/descriptives.b.R
+++ b/R/descriptives.b.R
@@ -1,45 +1,49 @@
 
+#' @importFrom jmvcore .
 descriptivesClass <- R6::R6Class(
     "descriptivesClass",
     inherit=descriptivesBase,
     private=list(
         #### Member variables ----
-        colArgs = list(
-            name = c(
-                "n", "missing", "mean", "se", "ciLower", "ciUpper", "median",
-                "mode", "sum", "sd", "variance", "iqr", "range", "min", "max",
-                "skew", "seSkew", "kurt", "seKurt", "sww", "sw"
-            ),
-            title = c(
-                "N", "Missing", "Mean", "Std. error mean", "lower bound",
-                "upper bound", "Median", "Mode", "Sum", "Standard deviation",
-                "Variance", "IQR", "Range", "Minimum", "Maximum", "Skewness",
-                "Std. error skewness", "Kurtosis", "Std. error kurtosis",
-                "Shapiro-Wilk W", "Shapiro-Wilk p"
-            ),
-            titleT = c(
-                "N", "Missing", "Mean", "SE", "Lower", "Upper", "Median",
-                "Mode", "Sum", "SD", "Variance", "IQR", "Range", "Minimum",
-                "Maximum", "Skewness", "SE", "Kurtosis", "SE", "W", "p"
-            ),
-            superTitle = c(
-                rep("", 4), rep("ci", 2), rep("", 9), rep("Skewness", 2),
-                rep("Kurtosis", 2), rep("Shapiro-Wilk", 2)
-            ),
-            type = c(rep("integer", 2), rep("number", 19)),
-            format = c(rep("", 20), "zto,pvalue"),
-            visible = c(
-                "(n)", "(missing)", "(mean)", "(se)", "(ci)", "(ci)",
-                "(median)", "(mode)", "(sum)", "(sd)", "(variance)", "(iqr)",
-                "(range)", "(min)", "(max)", "(skew)", "(skew)", "(kurt)",
-                "(kurt)", "(sw)", "(sw)"
-            )
-        ),
+        colArgs = NA,
         .levels = NULL,
         .splitByGrid = NULL,
 
         #### Init + run functions ----
         .init = function() {
+
+            private$colArgs <- list(
+                name = c(
+                    "n", "missing", "mean", "se", "ciLower", "ciUpper", "median",
+                    "mode", "sum", "sd", "variance", "iqr", "range", "min", "max",
+                    "skew", "seSkew", "kurt", "seKurt", "sww", "sw"
+                ),
+                title = c(
+                    .("N"), .("Missing"), .("Mean"), .("Std. error mean"), .("lower bound"),
+                    .("upper bound"), .("Median"), .("Mode"), .("Sum"), .("Standard deviation"),
+                    .("Variance"), .("IQR"), .("Range"), .("Minimum"), .("Maximum"), .("Skewness"),
+                    .("Std. error skewness"), .("Kurtosis"), .("Std. error kurtosis"),
+                    .("Shapiro-Wilk W"), .("Shapiro-Wilk p")
+                ),
+                titleT = c(
+                    .("N"), .("Missing"), .("Mean"), .("SE"), .("Lower"), .("Upper"), .("Median"),
+                    .("Mode"), .("Sum"), .("SD"), .("Variance"), .("IQR"), .("Range"), .("Minimum"),
+                    .("Maximum"), .("Skewness"), .("SE"), .("Kurtosis"), .("SE"), .("W"), .("p")
+                ),
+                superTitle = c(
+                    rep("", 4), rep("ci", 2), rep("", 9), rep(.("Skewness"), 2),
+                    rep(.("Kurtosis"), 2), rep(.("Shapiro-Wilk"), 2)
+                ),
+                type = c(rep("integer", 2), rep("number", 19)),
+                format = c(rep("", 20), "zto,pvalue"),
+                visible = c(
+                    "(n)", "(missing)", "(mean)", "(se)", "(ci)", "(ci)",
+                    "(median)", "(mode)", "(sum)", "(sd)", "(variance)", "(iqr)",
+                    "(range)", "(min)", "(max)", "(skew)", "(skew)", "(kurt)",
+                    "(kurt)", "(sw)", "(sw)"
+                )
+            )
+
             private$.addQuantiles()
             private$.initDescriptivesTable()
             private$.initDescriptivesTTable()
@@ -122,7 +126,7 @@ descriptivesClass <- R6::R6Class(
 
                 if (name == "ciLower" || name == "ciUpper") {
                     title <- jmvcore::format(
-                        "{}% CI mean {}", self$options$ciWidth, title
+                        .("{ciWidth}% CI mean {title}"), ciWidth=self$options$ciWidth, title=title
                     )
                 }
 
@@ -221,7 +225,7 @@ descriptivesClass <- R6::R6Class(
 
                 if (colArgs$superTitle[i] == "ci")
                     superTitle <- jmvcore::format(
-                        '{}% Confidence Interval', self$options$ciWidth
+                        .('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidth
                     )
                 else
                     superTitle <- colArgs$superTitle[i]
@@ -280,16 +284,16 @@ descriptivesClass <- R6::R6Class(
 
                     if (length(splitBy) == 0) {
                         table$addColumn(
-                            name='levels', title='Levels', type='text'
+                            name='levels', title=.('Levels'), type='text'
                         )
                         table$addColumn(
-                            name='counts', title='Counts', type='integer'
+                            name='counts', title=.('Counts'), type='integer'
                         )
                         table$addColumn(
-                            name='pc', title='% of Total', type='number', format='pc'
+                            name='pc', title=.('% of Total'), type='number', format='pc'
                         )
                         table$addColumn(
-                            name='cumpc', title='Cumulative %', type='number', format='pc'
+                            name='cumpc', title=.('Cumulative %'), type='number', format='pc'
                         )
 
                         for (k in seq_along(levels)) {
@@ -364,22 +368,24 @@ descriptivesClass <- R6::R6Class(
                 )
 
                 if (length(varsCannotBeNumeric) == 1) {
-                    content <- jmvcore::format(
-                        "<p class=\"warning\">
-                            The variable {} cannot be treated as numeric. Therefore plots that expect
-                            numeric data will not be created for this variable.
-                        </p>", listItems(varsCannotBeNumeric)
+                    warningMessage <- jmvcore::format(
+                        .("The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."),
+                        var=listItems(self, varsCannotBeNumeric)
                     )
                 } else {
-                    content <- jmvcore::format(
-                        "<p class=\"warning\">
-                            The variables {} cannot be treated as numeric. Therefore plots that expect
-                            numeric data will not be created for these variables.
-                        </p>", listItems(varsCannotBeNumeric)
+                    warningMessage <- jmvcore::format(
+                        .("The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."),
+                        vars=listItems(self, varsCannotBeNumeric)
                     )
-
                 }
 
+                content <- jmvcore::format(
+                    "<p class=\"warning\">
+                        {}
+                    </p>",
+                    warningMessage
+                )
+
                 html$setContent(content)
                 plots$setHeader(html)
             }
@@ -579,7 +585,7 @@ descriptivesClass <- R6::R6Class(
                 table$addFootnote(
                     rowNo=1,
                     footnotes[[i]],
-                    'More than one mode exists, only the first is reported'
+                    .('More than one mode exists, only the first is reported')
                 )
             }
         },
@@ -613,7 +619,7 @@ descriptivesClass <- R6::R6Class(
                             table$addFootnote(
                                 rowNo=iter,
                                 'mode',
-                                'More than one mode exists, only the first is reported'
+                                .('More than one mode exists, only the first is reported')
                             )
                         }
 
@@ -632,7 +638,7 @@ descriptivesClass <- R6::R6Class(
                         table$addFootnote(
                             rowNo=i,
                             'mode',
-                            'More than one mode exists, only the first is reported'
+                            .('More than one mode exists, only the first is reported')
                         )
                     }
                 }
@@ -894,8 +900,8 @@ descriptivesClass <- R6::R6Class(
             plot <- ggplot(data=data) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 stat_qq(aes(sample=y), size=2, colour=theme$color[1]) +
-                xlab("Theoretical Quantiles") +
-                ylab("Standardized Residuals") +
+                xlab(.("Theoretical Quantiles")) +
+                ylab(.("Standardized Residuals")) +
                 ggtheme
 
             if (nSplits == 0) {
@@ -1266,7 +1272,7 @@ descriptivesClass <- R6::R6Class(
                 for (item in splitBy) {
                     if ( ! is.factor(data[[item]])) {
                         jmvcore::reject(
-                            'Unable to split by a continuous variable'
+                            .('Unable to split by a continuous variable')
                         )
                     }
                 }
@@ -1276,7 +1282,7 @@ descriptivesClass <- R6::R6Class(
                 if (length(levels(data[[var]])) == 0) {
                     jmvcore::reject(
                         jmvcore::format(
-                            "The 'split by' variable '{}' contains no data.", var
+                            .("The 'split by' variable '{var}' contains no data."), var=var
                         ),
                         code=''
                     )
@@ -1346,9 +1352,9 @@ descriptivesClass <- R6::R6Class(
                 pcEq <- (1:pcNEqGr / pcNEqGr)[-pcNEqGr]
 
                 private$colArgs$name <- c(colArgs$name, paste0('quant', 1:(pcNEqGr-1)))
-                private$colArgs$title <- c(colArgs$title, paste0(round(pcEq * 100, 2), 'th percentile'))
+                private$colArgs$title <- c(colArgs$title, paste0(round(pcEq * 100, 2), .('th percentile')))
                 private$colArgs$titleT <- c(colArgs$titleT, paste0(round(pcEq * 100, 2), 'th'))
-                private$colArgs$superTitle <- c(colArgs$superTitle, rep("Percentiles", pcNEqGr-1))
+                private$colArgs$superTitle <- c(colArgs$superTitle, rep(.("Percentiles"), pcNEqGr-1))
                 private$colArgs$type <- c(colArgs$type, rep('number', pcNEqGr - 1))
                 private$colArgs$visible <- c(colArgs$visible, rep("(pcEqGr)", pcNEqGr - 1))
             }
@@ -1361,9 +1367,9 @@ descriptivesClass <- R6::R6Class(
                     colArgs <- private$colArgs
 
                     private$colArgs$name <- c(colArgs$name, paste0('perc', 1:npcValues))
-                    private$colArgs$title <- c(colArgs$title, paste0(round(pcValues * 100, 2), 'th percentile'))
+                    private$colArgs$title <- c(colArgs$title, paste0(round(pcValues * 100, 2), .('th percentile')))
                     private$colArgs$titleT <- c(colArgs$titleT, paste0(round(pcValues * 100, 2), 'th'))
-                    private$colArgs$superTitle <- c(colArgs$superTitle, rep("Percentiles", npcValues))
+                    private$colArgs$superTitle <- c(colArgs$superTitle, rep(.("Percentiles"), npcValues))
                     private$colArgs$type <- c(colArgs$type, rep('number', npcValues))
                     private$colArgs$visible <- c(colArgs$visible, rep("(pc)", npcValues))
                 }
diff --git a/R/efa.b.R b/R/efa.b.R
index 4ef1cc68..5f49791e 100644
--- a/R/efa.b.R
+++ b/R/efa.b.R
@@ -1,19 +1,19 @@
 
+#' @importFrom jmvcore .
 efaClass <- R6::R6Class(
     "efaClass",
     inherit = pcaClass,
     private = list(
         analysis = 'efa',
         .init=function() {
-
             super$.init()
 
-            self$results$setTitle('Exploratory Factor Analysis')
-            self$results$loadings$setTitle('Factor Loadings')
-            self$results$factorStats$setTitle('Factor Statistics')
+            self$results$setTitle(.('Exploratory Factor Analysis'))
+            self$results$loadings$setTitle(.('Factor Loadings'))
+            self$results$factorStats$setTitle(.('Factor Statistics'))
 
-            self$results$loadings$getColumn('pc1')$setSuperTitle('Factor')
-            self$results$factorStats$factorSummary$getColumn('comp')$setTitle('Factor')
+            self$results$loadings$getColumn('pc1')$setSuperTitle(.('Factor'))
+            self$results$factorStats$factorSummary$getColumn('comp')$setTitle(.('Factor'))
 
             ie <- self$results$get('eigen')$get('initEigen')
             column <- ie$getColumn('varProp')
@@ -21,8 +21,7 @@ efaClass <- R6::R6Class(
             column <- ie$getColumn('varCum')
             column$visible <- FALSE
             column <- ie$getColumn('comp')
-            column$setTitle('Factor')
-
+            column$setTitle(.('Factor'))
         }
     ),
     public = list(
diff --git a/R/efa.h.R b/R/efa.h.R
index 6d1e0d3f..865430fa 100644
--- a/R/efa.h.R
+++ b/R/efa.h.R
@@ -20,7 +20,8 @@ efaOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
             factorSummary = FALSE,
             modelFit = FALSE,
             kmo = FALSE,
-            bartlett = FALSE, ...) {
+            bartlett = FALSE,
+            factorScoreMethod = "Thurstone", ...) {
 
             super$initialize(
                 package="jmv",
@@ -110,6 +111,18 @@ efaOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 "bartlett",
                 bartlett,
                 default=FALSE)
+            private$..factorScoresOV <- jmvcore::OptionOutput$new(
+                "factorScoresOV")
+            private$..factorScoreMethod <- jmvcore::OptionList$new(
+                "factorScoreMethod",
+                factorScoreMethod,
+                options=list(
+                    "Thurstone",
+                    "Bartlett",
+                    "tenBerge",
+                    "Anderson",
+                    "Harman"),
+                default="Thurstone")
 
             self$.addOption(private$..vars)
             self$.addOption(private$..nFactorMethod)
@@ -126,6 +139,8 @@ efaOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
             self$.addOption(private$..modelFit)
             self$.addOption(private$..kmo)
             self$.addOption(private$..bartlett)
+            self$.addOption(private$..factorScoresOV)
+            self$.addOption(private$..factorScoreMethod)
         }),
     active = list(
         vars = function() private$..vars$value,
@@ -142,7 +157,9 @@ efaOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
         factorSummary = function() private$..factorSummary$value,
         modelFit = function() private$..modelFit$value,
         kmo = function() private$..kmo$value,
-        bartlett = function() private$..bartlett$value),
+        bartlett = function() private$..bartlett$value,
+        factorScoresOV = function() private$..factorScoresOV$value,
+        factorScoreMethod = function() private$..factorScoreMethod$value),
     private = list(
         ..vars = NA,
         ..nFactorMethod = NA,
@@ -158,7 +175,9 @@ efaOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
         ..factorSummary = NA,
         ..modelFit = NA,
         ..kmo = NA,
-        ..bartlett = NA)
+        ..bartlett = NA,
+        ..factorScoresOV = NA,
+        ..factorScoreMethod = NA)
 )
 
 efaResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
@@ -259,6 +278,10 @@ efaBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
 #'   (KMO) measure of sampling adequacy (MSA) results
 #' @param bartlett \code{TRUE} or \code{FALSE} (default), show Bartlett's test
 #'   of sphericity results
+#' @param factorScoreMethod \code{'Thurstone'} (default), \code{'Bartlett'},
+#'   \code{'tenBerge'}, \code{'Anderson'}, or \code{'Harman'} use respectively
+#'   'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman'
+#'   method for estimating factor scores
 #' @return A results object containing:
 #' \tabular{llllll}{
 #'   \code{results$text} \tab \tab \tab \tab \tab a preformatted \cr
@@ -281,7 +304,8 @@ efa <- function(
     factorSummary = FALSE,
     modelFit = FALSE,
     kmo = FALSE,
-    bartlett = FALSE) {
+    bartlett = FALSE,
+    factorScoreMethod = "Thurstone") {
 
     if ( ! requireNamespace("jmvcore", quietly=TRUE))
         stop("efa requires jmvcore to be installed (restart may be required)")
@@ -309,7 +333,8 @@ efa <- function(
         factorSummary = factorSummary,
         modelFit = modelFit,
         kmo = kmo,
-        bartlett = bartlett)
+        bartlett = bartlett,
+        factorScoreMethod = factorScoreMethod)
 
     analysis <- efaClass$new(
         options = options,
diff --git a/R/errors.R b/R/errors.R
index 56c0ccdd..694e56e5 100644
--- a/R/errors.R
+++ b/R/errors.R
@@ -1,3 +1,5 @@
+#' @importFrom jmvcore .
+
 checkTypes <- list(
     "variable_contains_inf" = "variable_contains_inf",
     "variable_contains_missing" = "variable_contains_missing",
@@ -5,51 +7,51 @@ checkTypes <- list(
     "variable_contains_one_unique_value" = "variable_contains_one_unique_value"
 )
 
-variableContainsInf = function(col, colName) {
+variableContainsInf = function(self, col, colName) {
     fail <- any(is.infinite(col))
     if (fail) {
         jmvcore::reject(
-            jmvcore::format("'{}' contains infinite values", colName),
+            jmvcore::format(.("'{col}' contains infinite values"), col=colName),
             code = checkTypes$variable_contains_inf,
             expected = TRUE
         )
     }
 }
 
-variableContainsMissing = function(col, colName) {
+variableContainsMissing = function(self, col, colName) {
     fail <- any(is.na(col))
     if (fail) {
         jmvcore::reject(
-            jmvcore::format("'{}' contains missing values", colName),
+            jmvcore::format(.("'{col}' contains missing values"), col=colName),
             code = checkTypes$variable_contains_missing,
             expected = TRUE
         )
     }
 }
 
-variableContainsOnlyMissing = function(col, colName) {
+variableContainsOnlyMissing = function(self, col, colName) {
     fail <- all(is.na(col))
     if (fail) {
         jmvcore::reject(
-            jmvcore::format("'{}' contains only missing values", colName),
+            jmvcore::format(.("'{col}' contains only missing values"), col=colName),
             code = checkTypes$variable_contains_only_missing,
             expected = TRUE
         )
     }
 }
 
-variableContainsOneUniqueValue = function(col, colName) {
+variableContainsOneUniqueValue = function(self, col, colName) {
     fail <- length(unique(col)) == 1
     if (fail) {
         jmvcore::reject(
-            jmvcore::format("'{}' contains only one unique value", colName),
+            jmvcore::format(.("'{col}' contains only one unique value"), col=colName),
             code = checkTypes$variable_contains_one_unique_value,
             expected = TRUE
         )
     }
 }
 
-checkData = function(data, types, B64 = FALSE) {
+checkData = function(self, data, types, B64 = FALSE) {
     for (colNo in seq_along(data)) {
         col <- data[[colNo]]
         colName <- names(data)[[colNo]]
@@ -57,12 +59,12 @@ checkData = function(data, types, B64 = FALSE) {
             colname <- jmvcore::fromB64(colName)
 
         if (checkTypes$variable_contains_inf %in% types)
-            variableContainsInf(col, colName)
+            variableContainsInf(self, col, colName)
         if (checkTypes$variable_contains_missing %in% types)
-            variableContainsMissing(col, colName)
+            variableContainsMissing(self, col, colName)
         if (checkTypes$variable_contains_only_missing %in% types)
-            variableContainsOnlyMissing(col, colName)
+            variableContainsOnlyMissing(self, col, colName)
         if (checkTypes$variable_contains_one_unique_value %in% types)
-            variableContainsOneUniqueValue(col, colName)
+            variableContainsOneUniqueValue(self, col, colName)
     }
 }
diff --git a/R/linreg.b.R b/R/linreg.b.R
index 8a701dd6..9d54623d 100644
--- a/R/linreg.b.R
+++ b/R/linreg.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 linRegClass <- R6::R6Class(
     "linRegClass",
     inherit = linRegBase,
@@ -10,6 +11,12 @@ linRegClass <- R6::R6Class(
 
             return(private$.dataProcessed)
         },
+        weights = function() {
+            if (is.null(private$.weights))
+                private$.weights <- private$.computeWeights()
+
+            return(private$.weights)
+        },
         models = function() {
             if (is.null(private$.models))
                 private$.models <- private$.computeModels()
@@ -111,6 +118,7 @@ linRegClass <- R6::R6Class(
         #### Member variables ----
         .dataProcessed = NULL,
         .dataRowNums = NULL,
+        .weights = NULL,
         .models = NULL,
         .modelsScaled = NULL,
         .isAliased = NULL,
@@ -181,10 +189,26 @@ linRegClass <- R6::R6Class(
 
             models <- list()
             for (i in seq_along(formulas))
-                models[[i]] <- lm(formulas[[i]], data=data)
+                models[[i]] <- lm(formulas[[i]], data=data, weights=self$weights)
 
             return(models)
         },
+        .computeWeights = function() {
+            var <- self$options$weights
+            if (is.null(var)) {
+                weights <- NULL
+            } else {
+                weights <- self$dataProcessed[[jmvcore::toB64(var)]]
+                if (any(weights < 0)) {
+                    jmvcore::reject(
+                        .("'{var}' contains negative values. Negative weights are not permitted."),
+                        var=var
+                    )
+                }
+            }
+
+            return(weights)
+        },
         .computeAnovaModelTerms = function() {
             anovaTerms <- list()
             for (i in seq_along(self$models)) {
@@ -384,15 +408,16 @@ linRegClass <- R6::R6Class(
                 for (j in seq_along(terms))
                     table$addRow(rowKey=paste0(terms[[j]]), values=list(term = jmvcore::stringifyTerm(terms[j])))
 
-                table$addRow(rowKey='.RES', values=list(term = 'Residuals'))
+                table$addRow(rowKey='.RES', values=list(term = .('Residuals')))
                 table$addFormat(col=1, rowKey='.RES', format=Cell.BEGIN_GROUP)
 
-                table$setNote("ss", "Type 3 sum of squares")
+                table$setNote("ss", .("Type 3 sum of squares"))
             }
         },
         .initCoefTable = function() {
             groups <- self$results$models
             factors <- self$options$factors
+            weights <- self$options$weights
             termsAll <- private$.getModelTerms()
             rowNamesModel <- private$.getRowNamesModel()
 
@@ -400,21 +425,31 @@ linRegClass <- R6::R6Class(
                 table <- groups$get(key=i)$coef
 
                 ciWidth <- self$options$ciWidth
-                table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-                table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+                ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+                table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+                table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
                 ciWidthStdEst <- self$options$ciWidthStdEst
-                table$getColumn('stdEstLower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthStdEst))
-                table$getColumn('stdEstUpper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthStdEst))
+                ciWidthStdEstTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidthStdEst)
+                table$getColumn('stdEstLower')$setSuperTitle(ciWidthStdEstTitle)
+                table$getColumn('stdEstUpper')$setSuperTitle(ciWidthStdEstTitle)
 
                 coefTerms <- rowNamesModel[[i]]
 
-                table$addRow(rowKey="`(Intercept)`", values=list(term = "Intercept"))
+                table$addRow(rowKey="`(Intercept)`", values=list(term = .("Intercept")))
+
+
+                if (! is.null(weights)) {
+                    table$setNote(
+                        "weights",
+                        jmvcore::format(.("Weighted by '{varName}'"), varName=weights)
+                    )
+                }
 
                 if ( ! is.null(factors)) {
                     note <- ifelse(self$options$intercept == 'refLevel',
-                                   'Represents reference level',
-                                   'Represents grand mean')
+                                   .('Represents reference level'),
+                                   .('Represents grand mean'))
                     table$addFootnote(rowKey="`(Intercept)`", 'term', note)
                 }
 
@@ -470,7 +505,7 @@ linRegClass <- R6::R6Class(
                 if (length(modelTerms) < 1) {
                     terms <- ''
                 } else {
-                    terms <- c('Fitted', self$options$dep)
+                    terms <- c(.('Fitted'), self$options$dep)
                     for (term in modelTerms) {
                         if (length(term) == 1 && term %in% covs)
                             terms <- c(terms, term)
@@ -513,6 +548,9 @@ linRegClass <- R6::R6Class(
             emMeans <- self$options$emMeans
             factors <- self$options$factors
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (i in seq_along(termsAll)) {
                 group <- groups$get(key=i)$emm
                 terms <- unique(unlist(termsAll[[i]]))
@@ -524,7 +562,7 @@ linRegClass <- R6::R6Class(
                         emmGroup <- group$get(key=j)
 
                         table <- emmGroup$emmTable
-                        table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                        table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                         nLevels <- numeric(length(emm))
                         for (k in rev(seq_along(emm))) {
@@ -537,10 +575,10 @@ linRegClass <- R6::R6Class(
                             }
                         }
 
-                        table$addColumn(name='emmean', title='Marginal Mean', type='number')
-                        table$addColumn(name='se', title='SE', type='number')
-                        table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
-                        table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
+                        table$addColumn(name='emmean', title=.('Marginal Mean'), type='number')
+                        table$addColumn(name='se', title=.('SE'), type='number')
+                        table$addColumn(name='lower', title=.('Lower'), type='number', superTitle=ciWidthTitle, visible="(ciEmm)")
+                        table$addColumn(name='upper', title=.('Upper'), type='number', superTitle=ciWidthTitle, visible="(ciEmm)")
 
                         nRows <- prod(nLevels)
 
@@ -556,9 +594,9 @@ linRegClass <- R6::R6Class(
             description = function(varType, modelNo=NULL) {
                 return(
                     jmvcore::format(
-                        "{} of linear regression model{}",
-                        varType,
-                        ifelse(is.null(modelNo), "", paste0(" ", modelNo))
+                        .("{varType} of linear regression model{modelNo}"),
+                        varType=varType,
+                        modelNo=ifelse(is.null(modelNo), "", paste0(" ", modelNo))
                     )
                 )
             }
@@ -568,20 +606,19 @@ linRegClass <- R6::R6Class(
             }
 
             if (self$nModels > 1) {
-
                 keys <- seq_len(self$nModels)
                 measureTypes <- rep('continuous', self$nModels)
 
-                titles <- vapply(keys, function(key) title('Residuals', key), '')
-                descriptions <- vapply(keys, function(key) description('Residuals', key), '')
+                titles <- vapply(keys, function(key) title(.('Residuals'), key), '')
+                descriptions <- vapply(keys, function(key) description(.('Residuals'), key), '')
                 self$results$residsOV$set(keys, titles, descriptions, measureTypes)
 
-                titles <- vapply(keys, function(key) title('Predicted values', key), '')
-                descriptions <- vapply(keys, function(key) description('Predicted values', key), '')
+                titles <- vapply(keys, function(key) title(.('Predicted values'), key), '')
+                descriptions <- vapply(keys, function(key) description(.('Predicted values'), key), '')
                 self$results$predictOV$set(keys, titles, descriptions, measureTypes)
 
-                titles <- vapply(keys, function(key) title("Cook's distance", key), '')
-                descriptions <- vapply(keys, function(key) description("Cook's distance", key), '')
+                titles <- vapply(keys, function(key) title(.("Cook's distance"), key), '')
+                descriptions <- vapply(keys, function(key) description(.("Cook's distance"), key), '')
                 self$results$cooksOV$set(keys, titles, descriptions, measureTypes)
             }
         },
@@ -691,7 +728,7 @@ linRegClass <- R6::R6Class(
                 table$setRow(rowKey='.RES', values = row)
 
                 if ( private$.getIsAliased()[[i]] )
-                    table$setNote("alias", SINGULAR_WARNING)
+                    table$setNote("alias", .(SINGULAR_WARNING))
             }
         },
         .populateCoefTables = function() {
@@ -755,7 +792,7 @@ linRegClass <- R6::R6Class(
                     table$setRow(rowKey=jmvcore::composeTerm(term), values=row)
 
                     if ( private$.getIsAliased()[[i]] )
-                        table$setNote("alias", SINGULAR_WARNING)
+                        table$setNote("alias", .(SINGULAR_WARNING))
                 }
             }
         },
@@ -834,7 +871,7 @@ linRegClass <- R6::R6Class(
                 }
 
                 if ( private$.getIsAliased()[[i]] )
-                    table$setNote("alias", SINGULAR_WARNING)
+                    table$setNote("alias", .(SINGULAR_WARNING))
             }
         },
         .populateEmmTables = function() {
@@ -895,7 +932,7 @@ linRegClass <- R6::R6Class(
                             table$setRow(rowNo=k, values=row)
 
                             if (length(covValues) > 0) {
-                                table$setNote("sub", "\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD")
+                                table$setNote("sub", .("\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD"))
 
                                 for (l in seq_along(emm)) {
                                     if (emm[l] %in% covs)
@@ -963,8 +1000,8 @@ linRegClass <- R6::R6Class(
             p <- ggplot(data=df, aes(x=x, y=y)) +
                       geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                       geom_point(aes(x=x,y=y), size=2, colour=theme$color[1]) +
-                      xlab("Theoretical Quantiles") +
-                      ylab("Standardized Residuals") +
+                      xlab(.("Theoretical Quantiles")) +
+                      ylab(.("Standardized Residuals")) +
                       ggtheme
 
             return(p)
@@ -987,7 +1024,7 @@ linRegClass <- R6::R6Class(
 
             res <- self$residuals[[image$state$modelNo]]
 
-            if (image$state$term == 'Fitted') {
+            if (image$state$term == .('Fitted')) {
                 x <- self$fitted[[image$state$modelNo]]
             } else {
                 x <- self$dataProcessed[[jmvcore::toB64(image$state$term)]]
@@ -998,7 +1035,7 @@ linRegClass <- R6::R6Class(
             p <- ggplot(data=df, aes(y=y, x=x)) +
                       geom_point(aes(x=x,y=y), colour=theme$color[1]) +
                       xlab(image$state$term) +
-                      ylab("Residuals") +
+                      ylab(.("Residuals")) +
                       ggtheme
 
             return(p)
@@ -1261,6 +1298,7 @@ linRegClass <- R6::R6Class(
             dep <- self$options$dep
             covs <- self$options$covs
             factors <- self$options$factors
+            weights <- self$options$weights
             refLevels <- self$options$refLevels
 
             dataRaw <- self$data
@@ -1271,7 +1309,7 @@ linRegClass <- R6::R6Class(
 
             for (factor in factors) {
                 if (length(levels(dataRaw[[factor]])) <= 1)
-                    stop(jmvcore::format("Factor '{}' needs to have at least 2 levels", factor))
+                    stop(jmvcore::format(.("Factor '{factor}' needs to have at least 2 levels"), factor=factor))
 
                 ref <- refLevels[[which(factor == refVars)]][['ref']]
                 column <- factor(
@@ -1286,7 +1324,7 @@ linRegClass <- R6::R6Class(
                 stats::contrasts(data[[jmvcore::toB64(factor)]]) <- private$.createContrasts(levels(column))
             }
 
-            for (cov in c(dep, covs))
+            for (cov in c(dep, covs, weights))
                 data[[jmvcore::toB64(cov)]] <- jmvcore::toNumeric(dataRaw[[cov]])
 
             attr(data, 'row.names') <- rownames(self$data)
diff --git a/R/linreg.h.R b/R/linreg.h.R
index 6d0cb052..2d063702 100644
--- a/R/linreg.h.R
+++ b/R/linreg.h.R
@@ -9,6 +9,7 @@ linRegOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
             dep = NULL,
             covs = NULL,
             factors = NULL,
+            weights = NULL,
             blocks = list(
                 list()),
             refLevels = NULL,
@@ -70,6 +71,14 @@ linRegOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 permitted=list(
                     "factor"),
                 default=NULL)
+            private$..weights <- jmvcore::OptionVariable$new(
+                "weights",
+                weights,
+                suggested=list(
+                    "continuous"),
+                permitted=list(
+                    "numeric"),
+                default=NULL)
             private$..blocks <- jmvcore::OptionArray$new(
                 "blocks",
                 blocks,
@@ -221,6 +230,7 @@ linRegOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
             self$.addOption(private$..dep)
             self$.addOption(private$..covs)
             self$.addOption(private$..factors)
+            self$.addOption(private$..weights)
             self$.addOption(private$..blocks)
             self$.addOption(private$..refLevels)
             self$.addOption(private$..intercept)
@@ -257,6 +267,7 @@ linRegOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
         dep = function() private$..dep$value,
         covs = function() private$..covs$value,
         factors = function() private$..factors$value,
+        weights = function() private$..weights$value,
         blocks = function() private$..blocks$value,
         refLevels = function() private$..refLevels$value,
         intercept = function() private$..intercept$value,
@@ -292,6 +303,7 @@ linRegOptions <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
         ..dep = NA,
         ..covs = NA,
         ..factors = NA,
+        ..weights = NA,
         ..blocks = NA,
         ..refLevels = NA,
         ..intercept = NA,
@@ -348,7 +360,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 title="Model Fit Measures",
                 clearWith=list(
                     "dep",
-                    "blocks"),
+                    "blocks",
+                    "weights"),
                 visible="(r || r2 || r2Adj || aic || bic || rmse || modelTest)",
                 columns=list(
                     list(
@@ -416,7 +429,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 title="Model Comparisons",
                 clearWith=list(
                     "dep",
-                    "blocks"),
+                    "blocks",
+                    "weights"),
                 columns=list(
                     list(
                         `name`="model1", 
@@ -489,7 +503,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                 refs="car",
                                 clearWith=list(
                                     "dep",
-                                    "blocks"),
+                                    "blocks",
+                                    "weights"),
                                 columns=list(
                                     list(
                                         `name`="term", 
@@ -526,7 +541,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                     "refLevels",
                                     "ciWidth",
                                     "ciWidthStdEst",
-                                    "intercept"),
+                                    "intercept",
+                                    "weights"),
                                 columns=list(
                                     list(
                                         `name`="term", 
@@ -593,7 +609,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                             visible="(cooks)",
                                             clearWith=list(
                                                 "dep",
-                                                "blocks"),
+                                                "blocks",
+                                                "weights"),
                                             columns=list(
                                                 list(
                                                     `name`="mean", 
@@ -641,7 +658,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                             refs="car",
                                             clearWith=list(
                                                 "dep",
-                                                "blocks"),
+                                                "blocks",
+                                                "weights"),
                                             columns=list(
                                                 list(
                                                     `name`="autoCor", 
@@ -664,7 +682,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                             refs="car",
                                             clearWith=list(
                                                 "dep",
-                                                "blocks"),
+                                                "blocks",
+                                                "weights"),
                                             columns=list(
                                                 list(
                                                     `name`="term", 
@@ -686,7 +705,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                             rows=1,
                                             clearWith=list(
                                                 "dep",
-                                                "blocks"),
+                                                "blocks",
+                                                "weights"),
                                             columns=list(
                                                 list(
                                                     `name`="t[sw]", 
@@ -712,7 +732,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                             requiresData=TRUE,
                                             clearWith=list(
                                                 "dep",
-                                                "blocks")))
+                                                "blocks",
+                                                "weights")))
                                         self$add(jmvcore::Array$new(
                                             options=options,
                                             name="resPlots",
@@ -724,7 +745,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                                 requiresData=TRUE,
                                                 clearWith=list(
                                                     "dep",
-                                                    "blocks"))))}))$new(options=options))
+                                                    "blocks",
+                                                    "weights"))))}))$new(options=options))
                             self$add(jmvcore::Array$new(
                                 options=options,
                                 name="emm",
@@ -733,6 +755,7 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                 clearWith=list(
                                     "dep",
                                     "blocks",
+                                    "weights",
                                     "emMeans"),
                                 template=R6::R6Class(
                                     inherit = jmvcore::Group,
@@ -757,6 +780,7 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                                 clearWith=list(
                                                     "dep",
                                                     "blocks",
+                                                    "weights",
                                                     "refLevels",
                                                     "ciEmm",
                                                     "ciWidthEmm",
@@ -770,6 +794,7 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                                                 clearWith=list(
                                                     "dep",
                                                     "blocks",
+                                                    "weights",
                                                     "refLevels",
                                                     "ciWidthEmm",
                                                     "emmWeights")))}))$new(options=options)))}))$new(options=options)))
@@ -782,7 +807,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 measureType="continuous",
                 clearWith=list(
                     "dep",
-                    "blocks")))
+                    "blocks",
+                    "weights")))
             self$add(jmvcore::Output$new(
                 options=options,
                 name="residsOV",
@@ -792,7 +818,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 measureType="continuous",
                 clearWith=list(
                     "dep",
-                    "blocks")))
+                    "blocks",
+                    "weights")))
             self$add(jmvcore::Output$new(
                 options=options,
                 name="cooksOV",
@@ -802,7 +829,8 @@ linRegResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                 measureType="continuous",
                 clearWith=list(
                     "dep",
-                    "blocks")))}))
+                    "blocks",
+                    "weights")))}))
 
 linRegBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
     "linRegBase",
@@ -871,6 +899,8 @@ linRegBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
 #'   numeric
 #' @param covs the covariates from \code{data}
 #' @param factors the fixed factors from \code{data}
+#' @param weights the (optional) weights from \code{data} to be used in the
+#'   fitting process
 #' @param blocks a list containing vectors of strings that name the predictors
 #'   that are added to the model. The elements are added to the model according
 #'   to their order in the list
@@ -952,6 +982,7 @@ linReg <- function(
     dep,
     covs = NULL,
     factors = NULL,
+    weights = NULL,
     blocks = list(
                 list()),
     refLevels = NULL,
@@ -989,12 +1020,14 @@ linReg <- function(
     if ( ! missing(dep)) dep <- jmvcore::resolveQuo(jmvcore::enquo(dep))
     if ( ! missing(covs)) covs <- jmvcore::resolveQuo(jmvcore::enquo(covs))
     if ( ! missing(factors)) factors <- jmvcore::resolveQuo(jmvcore::enquo(factors))
+    if ( ! missing(weights)) weights <- jmvcore::resolveQuo(jmvcore::enquo(weights))
     if (missing(data))
         data <- jmvcore::marshalData(
             parent.frame(),
             `if`( ! missing(dep), dep, NULL),
             `if`( ! missing(covs), covs, NULL),
-            `if`( ! missing(factors), factors, NULL))
+            `if`( ! missing(factors), factors, NULL),
+            `if`( ! missing(weights), weights, NULL))
 
     for (v in factors) if (v %in% names(data)) data[[v]] <- as.factor(data[[v]])
     if (inherits(emMeans, "formula")) emMeans <- jmvcore::decomposeFormula(emMeans)
@@ -1003,6 +1036,7 @@ linReg <- function(
         dep = dep,
         covs = covs,
         factors = factors,
+        weights = weights,
         blocks = blocks,
         refLevels = refLevels,
         intercept = intercept,
diff --git a/R/loglinear.b.R b/R/loglinear.b.R
index ff329608..f96c0caf 100644
--- a/R/loglinear.b.R
+++ b/R/loglinear.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 logLinearClass <- R6::R6Class(
     "logLinearClass",
     inherit = logLinearBase,
@@ -151,16 +152,18 @@ logLinearClass <- R6::R6Class(
                 table <- groups$get(key=i)$coef
 
                 ciWidth <- self$options$ciWidth
-                table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-                table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+                ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidth)
+                table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+                table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
                 ciWidthRR <- self$options$ciWidthRR
-                table$getColumn('rateLower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthRR))
-                table$getColumn('rateUpper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthRR))
+                ciWidthRRTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=ciWidthRR)
+                table$getColumn('rateLower')$setSuperTitle(ciWidthRRTitle)
+                table$getColumn('rateUpper')$setSuperTitle(ciWidthRRTitle)
 
                 coefTerms <- list()
 
-                table$addRow(rowKey="`(Intercept)`", values=list(term = "Intercept"))
+                table$addRow(rowKey="`(Intercept)`", values=list(term = .("Intercept")))
                 coefTerms[[1]] <- "(Intercept)"
 
                 terms <- termsAll[[i]]
@@ -220,6 +223,9 @@ logLinearClass <- R6::R6Class(
             emMeans <- self$options$emMeans
             factors <- self$options$factors
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (i in seq_along(termsAll)) {
 
                 group <- groups$get(key=i)$emm
@@ -234,7 +240,7 @@ logLinearClass <- R6::R6Class(
                         emmGroup <- group$get(key=j)
 
                         table <- emmGroup$emmTable
-                        table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                        table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                         nLevels <- numeric(length(emm))
                         for (k in rev(seq_along(emm))) {
@@ -242,10 +248,10 @@ logLinearClass <- R6::R6Class(
                                 nLevels[k] <- length(levels(self$data[[ emm[k] ]]))
                         }
 
-                        table$addColumn(name='counts', title='Counts', type='number')
-                        table$addColumn(name='se', title='SE', type='number')
-                        table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
-                        table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
+                        table$addColumn(name='counts', title=.('Counts'), type='number')
+                        table$addColumn(name='se', title=.('SE'), type='number')
+                        table$addColumn(name='lower', title=.('Lower'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
+                        table$addColumn(name='upper', title=.('Upper'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
 
                         nRows <- prod(nLevels)
 
@@ -485,7 +491,7 @@ logLinearClass <- R6::R6Class(
                         names <- list('x'=termB64[1], 'y'='rate', 'lines'=termB64[2], 'plots'=termB64[3], 'lower'='asymp.LCL', 'upper'='asymp.UCL')
                         names <- lapply(names, function(x) if (is.na(x)) NULL else x)
 
-                        labels <- list('x'=term[1], 'y'='Counts', 'lines'=term[2], 'plots'=term[3])
+                        labels <- list('x'=term[1], 'y'=.('Counts'), 'lines'=term[2], 'plots'=term[3])
                         labels <- lapply(labels, function(x) if (is.na(x)) NULL else x)
 
                         image$setState(list(data=d, names=names, labels=labels))
diff --git a/R/logregbin.b.R b/R/logregbin.b.R
index 11b75add..6a96a874 100644
--- a/R/logregbin.b.R
+++ b/R/logregbin.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
     "logRegBinClass",
     inherit = logRegBinBase,
@@ -310,7 +311,11 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                     VIF[[i]] <- try(car::vif(self$models[[i]]), silent=TRUE)
 
                     if (isError(VIF[[i]]) && extractErrorMessage(VIF[[i]]) == 'there are aliased coefficients in the model') {
-                        jmvcore::reject("One or more coefficients in model '{}' could not be estimated due to perfect collinearity.", code='error', i)
+                        jmvcore::reject(
+                            .("One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."),
+                            code='error',
+                            modelNo=i
+                        )
                     }
                 } else {
                     VIF[[i]] <- NULL
@@ -435,7 +440,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             for (i in seq_along(private$.getModelTerms())) {
                 groups$addItem(key=i)
                 group <- groups$get(key=i)
-                group$setTitle(paste("Model",i))
+                group$setTitle(paste(.("Model"),i))
             }
         },
         .initLrtTables = function() {
@@ -458,30 +463,37 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
 
             dep <- self$options$dep
             if (is.null(dep) ) {
-                note <- paste0("Estimates represent the log odds of \u2026")
+                note <- paste0(.("Estimates represent the log odds of \u2026"))
             } else {
                 depLevels <- private$.getLevelsDep()
-                note <- paste0("Estimates represent the log odds of \"",
-                               dep, " = ", depLevels$other, "\" vs. \"", dep, " = ",
-                               depLevels$ref, "\"")
+                note <- jmvcore::format(
+                    .('Estimates represent the log odds of "{dep} = {level1}" vs. "{dep} = {level2}"'),
+                    dep = dep,
+                    level1 = depLevels$other,
+                    level2 = depLevels$ref
+                )
             }
 
             rowNamesModel <- private$.getRowNamesModel()
 
+            ciWidthTitleString <- .('{ciWidth}% Confidence Interval')
+
             for (i in seq_along(termsAll)) {
                 table <- groups$get(key=i)$coef
 
                 ciWidth <- self$options$ciWidth
-                table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-                table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
+                ciWidthTitle <- jmvcore::format(ciWidthTitleString, ciWidth=ciWidth)
+                table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+                table$getColumn('upper')$setSuperTitle(ciWidthTitle)
 
                 ciWidthOR <- self$options$ciWidthOR
-                table$getColumn('oddsLower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
-                table$getColumn('oddsUpper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
+                ciWidthORTitle <- jmvcore::format(ciWidthTitleString, ciWidth=ciWidthOR)
+                table$getColumn('oddsLower')$setSuperTitle(ciWidthORTitle)
+                table$getColumn('oddsUpper')$setSuperTitle(ciWidthORTitle)
 
                 coefTerms <- rowNamesModel[[i]]
 
-                table$addRow(rowKey="`(Intercept)`", values=list(term = "Intercept"))
+                table$addRow(rowKey="`(Intercept)`", values=list(term = .("Intercept")))
 
                 terms <- termsAll[[i]]
 
@@ -546,6 +558,9 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             emMeans <- self$options$emMeans
             factors <- self$options$factors
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (i in seq_along(termsAll)) {
 
                 group <- groups$get(key=i)$emm
@@ -560,7 +575,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                         emmGroup <- group$get(key=j)
 
                         table <- emmGroup$emmTable
-                        table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                        table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                         nLevels <- numeric(length(emm))
                         for (k in rev(seq_along(emm))) {
@@ -573,10 +588,10 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                             }
                         }
 
-                        table$addColumn(name='prob', title='Probability', type='number')
-                        table$addColumn(name='se', title='SE', type='number')
-                        table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
-                        table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
+                        table$addColumn(name='prob', title=.('Probability'), type='number')
+                        table$addColumn(name='se', title=.('SE'), type='number')
+                        table$addColumn(name='lower', title=.('Lower'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
+                        table$addColumn(name='upper', title=.('Upper'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
 
                         nRows <- prod(nLevels)
 
@@ -613,14 +628,11 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             for (i in seq_along(self$options$blocks)) {
 
                 table <- groups$get(key=i)$pred$class
-                table$setTitle(paste0('Classification Table \u2013 ', dep))
+                table$setTitle(jmvcore::format(.("Classification Table \u2013 {dep}"), dep))
 
-                name <- c(
-                    'name[0]', 'neg[0]', 'pos[0]', 'perc[0]',
-                    'name[1]', 'neg[1]', 'pos[1]', 'perc[1]'
-                )
-                title <- rep(c('Observed', levels[1], levels[2], '% Correct'), 2)
-                superTitle <- rep(c('', 'Predicted', 'Predicted', ''), 2)
+                name <- c('name[0]', 'neg[0]', 'pos[0]', 'perc[0]', 'name[1]', 'neg[1]', 'pos[1]', 'perc[1]')
+                title <- rep(c(.('Observed'), levels[1], levels[2], .('% Correct')), 2)
+                superTitle <- rep(c('', .('Predicted'), .('Predicted'), ''), 2)
 
                 for (j in seq_along(name)) {
                     table$addColumn(
@@ -637,7 +649,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
 
                 table$setNote(
                     "thres",
-                    jmvcore::format("The cut-off value is set to {}", cutOff)
+                    jmvcore::format(.("The cut-off value is set to {}"), cutOff)
                 )
 
             }
@@ -651,7 +663,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             for (i in seq_along(termsAll)) {
                 table <- groups$get(key=i)$pred$measures
                 table$setNote(
-                    "thres", jmvcore::format("The cut-off value is set to {}", cutOff)
+                    "thres", jmvcore::format(.("The cut-off value is set to {}"), cutOff)
                 )
             }
         },
@@ -675,9 +687,9 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             description = function(part1, part2=NULL) {
                 return(
                     jmvcore::format(
-                        "{} of binomial logistic regression model{}",
-                        part1,
-                        ifelse(is.null(part2), "", paste0(" ", part2))
+                        .("{varType} of binomial logistic regression model{modelNo}"),
+                        varType=part1,
+                        modelNo=ifelse(is.null(part2), "", paste0(" ", part2))
                     )
                 )
             }
@@ -686,20 +698,21 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                 return(jmvcore::format("{} - {}", part1, part2))
             }
 
-            predictTitle <- "Predicted"
-            residsTitle <- "Residuals"
-            cooksTitle <- "Cook's distance"
+            predictTitle <- .("Predicted")
+            residsTitle <- .("Residuals")
+            cooksTitle <- .("Cook's distance")
 
             if (is.null(self$options$dep)) {
                 dep <- "\u2026"
-                predictDescPrefix <- "Predicted probability of \u2026 = \u2026 (vs \u2026 = \u2026)"
+                predictDescPrefix <- .("Predicted probability of \u2026 = \u2026 (vs \u2026 = \u2026)")
             } else {
                 dep <- self$options$dep
-                predictDescPrefix <- jmvcore::format("Predicted probability of {} = {} (vs {} = {})",
-                                                     dep,
-                                                     private$.getLevelsDep()$other,
-                                                     dep,
-                                                     private$.getLevelsDep()$ref)
+                predictDescPrefix <- jmvcore::format(
+                    .("Predicted probability of {dep} = {level1} (vs {dep} = {level2})"),
+                    dep=dep,
+                    level1=private$.getLevelsDep()$other,
+                    level2=private$.getLevelsDep()$ref
+                )
             }
 
             if (self$nModels == 1) {
@@ -887,7 +900,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                             table$setRow(rowNo=k, values=row)
 
                             if (length(covValues) > 0) {
-                                table$setNote("sub", "\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD")
+                                table$setNote("sub", .("\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD"))
 
                                 for (l in seq_along(emm)) {
                                     if (emm[l] %in% covs)
@@ -1114,8 +1127,8 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             p <- ggplot(data=df, aes(x=x, y=y)) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 geom_line(color="red") +
-                xlab("1 - Specificity") +
-                ylab("Sensitivity") +
+                xlab(.("1 - Specificity")) +
+                ylab(.("Sensitivity")) +
                 ggtheme
 
             return(p)
@@ -1146,13 +1159,13 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
 
             df <- data.frame(x=rep(c(0, cutoff), 2),
                              y=c(1, sens, 0, spec),
-                             group=c(rep('Sensitivity', length(sens) + 1),
-                                     rep('Specificity', length(spec) + 1)))
+                             group=c(rep(.('Sensitivity'), length(sens) + 1),
+                                     rep(.('Specificity'), length(spec) + 1)))
 
             p <- ggplot(data=df, aes(x=x, y=y, color=group)) +
                 geom_vline(xintercept = cutOff, linetype=3, color=theme$color[1]) +
                 geom_line() +
-                xlab("Cut-Off") + xlim(0,1) + ylim(0,1) +
+                xlab(.("Cut-Off")) + xlim(0,1) + ylim(0,1) +
                 ggtheme + theme(legend.title = element_blank(), legend.position = 'top',
                                 axis.title.y = element_blank())
 
@@ -1253,9 +1266,7 @@ logRegBinClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             if (length(levels(column)) > 2) {
                 jmvcore::reject(
                     jmvcore::format(
-                        'The dependent variable \'{}\' has more than two levels;
-                        binomial logistic regression can only be performed on dependent
-                        variables with two levels.',
+                        .("The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."),
                         dep
                     ),
                     code=''
diff --git a/R/logregmulti.b.R b/R/logregmulti.b.R
index b5fadaf4..45e2ca70 100644
--- a/R/logregmulti.b.R
+++ b/R/logregmulti.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 logRegMultiClass <- R6::R6Class(
     "logRegMultiClass",
     inherit = logRegMultiBase,
@@ -171,19 +172,19 @@ logRegMultiClass <- R6::R6Class(
                 depCompLevels <- NULL
             }
 
+            ciWidthTitleString <- .('{ciWidth}% Confidence Interval')
+            ciWidthTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciWidth)
+            ciWidthORTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciWidthOR)
+
             for (i in seq_along(termsAll)) {
 
                 table <- groups$get(key=i)$coef
 
                 table$getColumn('dep')$setTitle(dep)
-
-                ciWidth <- self$options$ciWidth
-                table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-                table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-
-                ciWidthOR <- self$options$ciWidthOR
-                table$getColumn('oddsLower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
-                table$getColumn('oddsUpper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
+                table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+                table$getColumn('upper')$setSuperTitle(ciWidthTitle)
+                table$getColumn('oddsLower')$setSuperTitle(ciWidthORTitle)
+                table$getColumn('oddsUpper')$setSuperTitle(ciWidthORTitle)
 
                 terms <- termsAll[[i]]
 
@@ -194,7 +195,7 @@ logRegMultiClass <- R6::R6Class(
                     comparison <- paste(depCompLevels[j], "-", depRefLevel)
 
                     rowKey <- paste0(j, jmvcore::composeTerm("(Intercept)"))
-                    table$addRow(rowKey=rowKey, values=list(dep=comparison, term = "Intercept"))
+                    table$addRow(rowKey=rowKey, values=list(dep=comparison, term = .("Intercept")))
                     table$addFormat(rowKey=rowKey, col=1, Cell.BEGIN_GROUP)
 
                     if (j == 1)
@@ -271,6 +272,9 @@ logRegMultiClass <- R6::R6Class(
             factors <- self$options$factors
             dep <- self$options$dep
 
+            emMeansTableTitle <- .('Estimated Marginal Means - {term}')
+            ciWidthTitle <- jmvcore::format(.('{ciWidth}% Confidence Interval'), ciWidth=self$options$ciWidthEmm)
+
             for (i in seq_along(termsAll)) {
 
                 group <- groups$get(key=i)$emm
@@ -285,7 +289,7 @@ logRegMultiClass <- R6::R6Class(
                         emmGroup <- group$get(key=j)
 
                         table <- emmGroup$emmTable
-                        table$setTitle(paste0('Estimated Marginal Means - ', jmvcore::stringifyTerm(emm)))
+                        table$setTitle(jmvcore::format(emMeansTableTitle, term=jmvcore::stringifyTerm(emm)))
 
                         emm <- c(dep, emm)
                         nLevels <- numeric(length(emm))
@@ -299,10 +303,10 @@ logRegMultiClass <- R6::R6Class(
                             }
                         }
 
-                        table$addColumn(name='prob', title='Probability', type='number')
-                        table$addColumn(name='se', title='SE', type='number')
-                        table$addColumn(name='lower', title='Lower', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
-                        table$addColumn(name='upper', title='Upper', type='number', superTitle=paste0(self$options$ciWidthEmm, '% Confidence Interval'), visibl="(ciEmm)")
+                        table$addColumn(name='prob', title=.('Probability'), type='number')
+                        table$addColumn(name='se', title=.('SE'), type='number')
+                        table$addColumn(name='lower', title=.('Lower'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
+                        table$addColumn(name='upper', title=.('Upper'), type='number', superTitle=ciWidthTitle, visibl="(ciEmm)")
 
                         nRows <- prod(nLevels)
 
@@ -510,7 +514,7 @@ logRegMultiClass <- R6::R6Class(
 
                             if (length(covValues) > 0) {
 
-                                table$setNote("sub", "\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD")
+                                table$setNote("sub", .("\u207B mean - 1SD, <sup>\u03BC</sup> mean, \u207A mean + 1SD"))
 
                                 for (l in seq_along(emm)) {
                                     if (emm[l] %in% covs)
@@ -617,7 +621,7 @@ logRegMultiClass <- R6::R6Class(
                         names <- list('x'=termB64[2], 'y'='prob', 'lines'=termB64[1], 'xPlots'=termB64[3], 'yPlots'=termB64[4], 'lower'='lower.CL', 'upper'='upper.CL')
                         names <- lapply(names, function(x) if (is.na(x)) NULL else x)
 
-                        labels <- list('x'=term[2], 'y'='Probability', 'lines'=term[1], 'xPlots'=term[3], 'yPlots'=term[4])
+                        labels <- list('x'=term[2], 'y'=.('Probability'), 'lines'=term[1], 'xPlots'=term[3], 'yPlots'=term[4])
                         labels <- lapply(labels, function(x) if (is.na(x)) NULL else x)
 
                         image$setState(list(data=d, names=names, labels=labels, cont=cont))
@@ -766,8 +770,15 @@ logRegMultiClass <- R6::R6Class(
             dep <- self$options$dep
             column <- data[[jmvcore::toB64(dep)]]
 
-            if (length(levels(column)) == 2)
-                jmvcore::reject(jmvcore::format('The dependent variable \'{}\' has only two levels, consider doing a binomial logistic regression.', dep), code='')
+            if (length(levels(column)) == 2) {
+                jmvcore::reject(
+                    jmvcore::format(
+                        .('The dependent variable "{dep}" has only two levels, consider doing a binomial logistic regression.'),
+                        dep=dep
+                    ),
+                    code=''
+                )
+            }
         },
         .cleanData = function() {
             dep <- self$options$dep
diff --git a/R/logregord.b.R b/R/logregord.b.R
index cfaf1b20..c8631ba6 100644
--- a/R/logregord.b.R
+++ b/R/logregord.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 logRegOrdClass <- if (requireNamespace('jmvcore')) R6::R6Class(
     "logRegOrdClass",
     inherit = logRegOrdBase,
@@ -115,8 +116,14 @@ logRegOrdClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                 return()
             }
 
-            table$setNote("note", jmvcore::format("The dependent variable \'{}\' has the following order: {}", dep, paste(depLevels, collapse = ' | ')))
-
+            table$setNote(
+                "note",
+                jmvcore::format(
+                    .("The dependent variable '{dep}' has the following order: {orderedLevels}"),
+                    dep=dep,
+                    orderedLevels=paste(depLevels, collapse = ' | ')
+                )
+            )
         },
         .initModelCompTable = function() {
 
@@ -172,17 +179,18 @@ logRegOrdClass <- if (requireNamespace('jmvcore')) R6::R6Class(
                 depLevels <- NULL
             }
 
+            ciWidthTitleString <- .('{ciWidth}% Confidence Interval')
+            ciWidthTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciWidth)
+            ciWidthORTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciWidthOR)
+
             for (i in seq_along(termsAll)) {
 
                 table <- groups$get(key=i)$coef
 
-                ciWidth <- self$options$ciWidth
-                table$getColumn('lower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-                table$getColumn('upper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidth))
-
-                ciWidthOR <- self$options$ciWidthOR
-                table$getColumn('oddsLower')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
-                table$getColumn('oddsUpper')$setSuperTitle(jmvcore::format('{}% Confidence Interval', ciWidthOR))
+                table$getColumn('lower')$setSuperTitle(ciWidthTitle)
+                table$getColumn('upper')$setSuperTitle(ciWidthTitle)
+                table$getColumn('oddsLower')$setSuperTitle(ciWidthORTitle)
+                table$getColumn('oddsUpper')$setSuperTitle(ciWidthORTitle)
 
                 coefTerms <- list()
 
@@ -507,9 +515,15 @@ logRegOrdClass <- if (requireNamespace('jmvcore')) R6::R6Class(
             dep <- self$options$dep
             column <- data[[jmvcore::toB64(dep)]]
 
-            if (length(levels(column)) == 2)
-                jmvcore::reject(jmvcore::format('The dependent variable \'{}\' has only two levels, consider doing a binomial logistic regression.', dep), code='')
-
+            if (length(levels(column)) == 2) {
+                jmvcore::reject(
+                    jmvcore::format(
+                        .('The dependent variable "{dep}" has only two levels, consider doing a binomial logistic regression.'),
+                        dep=dep
+                    ),
+                    code=''
+                )
+            }
         },
         .cleanData = function() {
 
diff --git a/R/mancova.b.R b/R/mancova.b.R
index 4dd3397d..b1f1e01a 100644
--- a/R/mancova.b.R
+++ b/R/mancova.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 mancovaClass <- R6::R6Class(
     "mancovaClass",
     inherit = mancovaBase,
@@ -79,18 +80,16 @@ mancovaClass <- R6::R6Class(
             }
         },
         .initUnivarTables = function(modelTerms) {
-
-            deps <- self$options$deps
-
             table <- self$results$univar
 
+            deps <- self$options$deps
             terms <- c(modelTerms, "Residuals")
+            termTitles <- c(modelTerms, .("Residuals"))
 
-            for (term in terms) {
+            for (i in seq_along(terms)) {
                 for (dep in deps) {
-
-                    termString <- jmvcore::stringifyTerm(term)
-                    key <- paste0(paste0(term, collapse=""), dep)
+                    termString <- jmvcore::stringifyTerm(termTitles[[i]])
+                    key <- paste0(paste0(terms[[i]], collapse=""), dep)
                     table$addRow(rowKey=key, values=list(term = termString, dep = dep))
 
                     if (dep == deps[1])
@@ -237,8 +236,8 @@ mancovaClass <- R6::R6Class(
             return(ggplot(data=image$state, aes(x=chi, y=dist)) +
                       geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                       geom_point(aes(x=chi,y=dist), size=2, colour=theme$color[1]) +
-                      xlab("Chi-Square Quantiles") +
-                      ylab("Squared Mahalanobis Distance") +
+                      xlab(.("Chi-Square Quantiles")) +
+                      ylab(.("Squared Mahalanobis Distance")) +
                       ggtheme)
         },
 
@@ -316,8 +315,16 @@ mancovaClass <- R6::R6Class(
 
             dataDeps <- data[jmvcore::toB64(deps)]
 
-            if (length(factors) == 0)
-                return(list(chiSq = NaN, df = NaN, p = NaN, warning = "No factors defined. Box's M test is only relevant when model contains factors."))
+            if (length(factors) == 0) {
+                return(
+                    list(
+                        chiSq = NaN,
+                        df = NaN,
+                        p = NaN,
+                        warning = .("No factors defined. Box's M test is only relevant when model contains factors.")
+                    )
+                )
+            }
 
             dataFactors <- data[jmvcore::toB64(factors)]
 
@@ -339,7 +346,7 @@ mancovaClass <- R6::R6Class(
 
             warning <- NULL
             if (any(dfs < p))
-                warning <- "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+                warning <- .("Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.")
 
             mats <- list(); aux <- list()
             for(i in 1:nlev) {
diff --git a/R/pca.b.R b/R/pca.b.R
index d6024e25..4dd47850 100644
--- a/R/pca.b.R
+++ b/R/pca.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 pcaClass <- R6::R6Class(
     "pcaClass",
     inherit = pcaBase,
@@ -79,8 +80,8 @@ pcaClass <- R6::R6Class(
             return(private$.bartlett)
         },
         scores = function() {
-            if (is.null(private$.scores) && private$analysis == 'pca')
-                private$.scores <- private$.getPsychResult()$scores
+            if (is.null(private$.scores))
+                private$.scores <- private$.computeFactorScores()
 
             return(private$.scores)
         }
@@ -138,9 +139,15 @@ pcaClass <- R6::R6Class(
             } else if (method == "eigen") {
                 nFactors <- sum(self$eigen > self$options$minEigen)
 
-                if (nFactors <= 0)
-                    jmvcore::reject(jmvcore::format('No components have an eigenvalue greater than {}'),
-                                    self$options$minEigen, code='')
+                if (nFactors <= 0) {
+                    jmvcore::reject(
+                        jmvcore::format(
+                            .('No components have an eigenvalue greater than {value}'),
+                            value=self$options$minEigen
+                        ),
+                        code=''
+                    )
+                }
             } else {
                 nFactors <- self$options$nFactors
             }
@@ -172,29 +179,61 @@ pcaClass <- R6::R6Class(
 
             return(bartlett)
         },
+        .computeFactorScores = function() {
+            if (private$analysis == 'pca') {
+                scores <- private$.getPsychResult()$scores
+            } else {
+                scores <- psych::factor.scores(
+                    self$dataProcessed,
+                    private$.getPsychResult(),
+                    method = self$options$factorScoreMethod
+                )$scores
+            }
+
+            return(scores)
+        },
 
         #### Init tables/plots functions ----
         .initLoadingsTable = function() {
             table <- self$results$loadings
 
+            rotation <- self$options$rotation
+            if (rotation == 'varimax')
+                rotationName <- .("varimax")
+            else if (rotation == 'quartimax')
+                rotationName <- .("quartimax")
+            else if (rotation == 'promax')
+                rotationName <- .("promax")
+            else if (rotation == 'oblimin')
+                rotationName <- .("oblimin")
+            else if (rotation == 'simplimax')
+                rotationName <- .("simplimax")
+            else
+                rotationName <- .("none")
+
             if (private$analysis == 'pca') {
-                table$setNote("note", jmvcore::format("\'{}\' rotation was used", self$options$rotation))
+                table$setNote(
+                    "note",
+                    jmvcore::format(
+                        .("'{rotation}' rotation was used"),
+                        rotation=rotationName
+                    )
+                )
             } else {
                 extr <- self$options$extraction
-
                 if (extr == 'pa')
-                    extrName <- 'Principal axis factoring'
+                    extrName <- .('Principal axis factoring')
                 else if (extr == 'ml')
-                    extrName <- 'Maximum likelihood'
+                    extrName <- .('Maximum likelihood')
                 else
-                    extrName <- 'Minimum residual'
+                    extrName <- .('Minimum residual')
 
                 table$setNote(
                     "note",
                     jmvcore::format(
-                        "\'{}\' extraction method was used in combination with a \'{}\' rotation",
-                        extrName,
-                        self$options$rotation
+                        .("'{method}' extraction method was used in combination with a '{rotation}' rotation"),
+                        method=extrName,
+                        rotation=rotationName
                     )
                 )
             }
@@ -215,7 +254,7 @@ pcaClass <- R6::R6Class(
             table <- self$results$assump$kmo
             vars <- self$options$vars
 
-            table$addRow(rowKey=1, values=list(name = "Overall"))
+            table$addRow(rowKey=1, values=list(name = .("Overall")))
             table$addFormat(rowKey=1, col=1, Cell.END_GROUP)
 
             for (i in seq_along(vars))
@@ -224,7 +263,7 @@ pcaClass <- R6::R6Class(
         .initFactorCor = function() {
             if (private$analysis == 'efa') {
                 table <- self$results$factorStats$factorCor
-                table$setTitle("Inter-Factor Correlations")
+                table$setTitle(.("Inter-Factor Correlations"))
             }
         },
 
@@ -239,9 +278,9 @@ pcaClass <- R6::R6Class(
             hide <- self$options$hideLoadings
 
             if (private$analysis == 'pca')
-                type <- 'Component'
+                type <- .('Component')
             else
-                type <- 'Factor'
+                type <- .('Factor [specific factor]')
 
             if (nFactors > 1) {
                 for (i in 2:nFactors) {
@@ -398,16 +437,26 @@ pcaClass <- R6::R6Class(
 
             table$setRow(rowNo=1, values=list(chi=r$chisq, df=r$df, p=r$p.value))
         },
-        .populateOutputs = function() {
-            if (private$analysis == 'pca'
-                    && self$options$factorScoresOV
-                    && self$results$factorScoresOV$isNotFilled()) {
-
+        .populateOutputs = function(n) {
+            if (self$options$factorScoresOV && self$results$factorScoresOV$isNotFilled()) {
                 keys <- 1:self$nFactors
-                titles <- paste("Score Component", 1:self$nFactors)
-                descriptions <- paste("Score for component", 1:self$nFactors)
                 measureTypes <- rep("continuous", self$nFactors)
 
+                if (private$analysis == 'pca') {
+                    titles <- paste(.("Score Component"), keys)
+                    descriptions <- paste(.("Score for component"), keys)
+                } else {
+                    titles <- paste(.("Score Factor"), keys)
+                    descriptions <- character(length(keys))
+                    for (i in keys) {
+                        descriptions[i] = jmvcore::format(
+                            .("Score for factor {i}. Estimated using the '{fsMethod}' method."),
+                            i=i,
+                            fsMethod=self$options$factorScoreMethod
+                        )
+                    }
+                }
+
                 self$results$factorScoresOV$set(
                     keys=keys,
                     titles=titles,
@@ -431,7 +480,7 @@ pcaClass <- R6::R6Class(
             df <- list()
             df[["eigen"]] <- c(private$.getSimEigenCI(), self$eigen)
             df[["comp"]] <- factor(c(1:length(self$eigen), 1:length(self$eigen)))
-            df[["type"]] <- c(rep("Simulations", length(self$eigen)), rep("Data", length(self$eigen)))
+            df[["type"]] <- c(rep(.("Simulations"), length(self$eigen)), rep(.("Data"), length(self$eigen)))
 
             attr(df, 'row.names') <- seq_len(length(df[[1]]))
             attr(df, 'class') <- 'data.frame'
@@ -454,17 +503,17 @@ pcaClass <- R6::R6Class(
             data <- image$state
 
             if (nFactorMethod != "parallel")
-                data <- subset(data, type == "Data")
+                data <- subset(data, type == .("Data"))
 
             if (private$analysis == 'pca')
-                type <- 'Component'
+                type <- .('Component')
             else
-                type <- 'Factor'
+                type <- .('Factor [specific factor]')
 
             p <- ggplot(data=data, aes(x=comp, y=eigen, group=type, linetype=factor(type))) +
                         geom_line(size=.8, colour=theme$color[1]) +
                         geom_point(aes(fill=factor(type), colour=factor(type)), shape=21, size=3) +
-                        xlab(type) + ylab("Eigenvalue") +
+                        xlab(type) + ylab(.("Eigenvalue")) +
                         ggtheme + themeSpec
 
             if (nFactorMethod != "parallel")
@@ -543,12 +592,19 @@ pcaClass <- R6::R6Class(
             vars <- self$options$vars
 
             if (private$analysis == 'pca')
-                type <- 'components'
+                type <- .('components')
             else
-                type <- 'factors'
+                type <- .('factors')
 
-            if (nFactorMethod == "fixed" && nFactors > length(vars))
-                jmvcore::reject(jmvcore::format('Number of {} cannot be bigger than number of variables', type), code='')
+            if (nFactorMethod == "fixed" && nFactors > length(vars)) {
+                jmvcore::reject(
+                    jmvcore::format(
+                        'Number of {factors} cannot be bigger than number of variables',
+                        factors=type
+                    ),
+                    code=''
+                )
+            }
         },
         .cleanData = function() {
             vars <- self$options$vars
diff --git a/R/pca.h.R b/R/pca.h.R
index e06db173..01d40601 100644
--- a/R/pca.h.R
+++ b/R/pca.h.R
@@ -420,7 +420,8 @@ pcaResults <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
                     "vars",
                     "nFactorMethod",
                     "nFactors",
-                    "rotation")))}))
+                    "rotation",
+                    "factorScoreMethod")))}))
 
 pcaBase <- if (requireNamespace("jmvcore", quietly=TRUE)) R6::R6Class(
     "pcaBase",
diff --git a/R/proptest2.b.R b/R/proptest2.b.R
index 08c4c1e8..cf06d8d8 100644
--- a/R/proptest2.b.R
+++ b/R/proptest2.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 propTest2Class <- R6::R6Class(
     "propTest2Class",
     inherit = propTest2Base,
@@ -91,11 +92,22 @@ propTest2Class <- R6::R6Class(
             else
                 op <- '\u2260'
 
-            table$setNote('hyp', jmvcore::format('H\u2090 is proportion {} {}', op, self$options$testValue))
-            table$getColumn('cil')$setSuperTitle(paste0(self$options$ciWidth, '% Confidence Interval'))
-            table$getColumn('ciu')$setSuperTitle(paste0(self$options$ciWidth, '% Confidence Interval'))
-            table$getColumn('cilBayes')$setSuperTitle(paste0(self$options$ciBayesWidth, '% Credible Interval'))
-            table$getColumn('ciuBayes')$setSuperTitle(paste0(self$options$ciBayesWidth, '% Credible Interval'))
+            table$setNote(
+                'hyp',
+                jmvcore::format(
+                    .('H\u2090 is proportion {direction} {testValue}'),
+                    direction=op,
+                    testValue=self$options$testValue
+                )
+            )
+
+            ciWidthTitleString <- .('{ciWidth}% Confidence Interval')
+            ciWidthTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciWidth)
+            ciWidthBayesTitle <- jmvcore::format(ciWidthTitleString, ciWidth=self$options$ciBayesWidth)
+            table$getColumn('cil')$setSuperTitle(ciWidthTitle)
+            table$getColumn('ciu')$setSuperTitle(ciWidthTitle)
+            table$getColumn('cilBayes')$setSuperTitle(ciWidthBayesTitle)
+            table$getColumn('ciuBayes')$setSuperTitle(ciWidthBayesTitle)
 
             for (var in self$options$vars) {
 
@@ -231,8 +243,8 @@ propTest2Class <- R6::R6Class(
                     }
 
                     y <- c(prior, like, post)
-                    g <- factor(rep(c("Prior", "Likelihood", "Posterior"), each=length(prior)),
-                                levels=c("Prior", "Likelihood", "Posterior"))
+                    g <- factor(rep(c(.("Prior"), .("Likelihood"), .("Posterior")), each=length(prior)),
+                                levels=c(.("Prior"), .("Likelihood"), .("Posterior")))
 
                     df <- data.frame(x=x, y=y, group=g)
 
@@ -255,7 +267,7 @@ propTest2Class <- R6::R6Class(
 
             p <- ggplot(data=image$state, aes(x=x, y=y, group=group, color=group, linetype=group)) +
                 geom_line(size=0.7) +
-                xlim(0, 1) + labs(x="Proportion", y="Density") +
+                xlim(0, 1) + labs(x=.("Proportion"), y=.("Density")) +
                 scale_color_manual(values=c("#3E6DA9", "#6b9de8", theme$color[1])) +
                 scale_linetype_manual(values=c("dotted", "dashed", "solid")) +
                 # geom_vline(xintercept = prop, size=0.1, linetype="dashed") +
@@ -273,8 +285,12 @@ propTest2Class <- R6::R6Class(
 
             for (var in vars) {
                 column <- naOmit(data[[var]])
-                if (length(column) == 0)
-                    jmvcore::reject(jmvcore::format('Variable \'{}\' contains no data', var), code='')
+                if (length(column) == 0) {
+                    jmvcore::reject(
+                        jmvcore::format(.("Variable '{var}' contains no data"), var=var),
+                        code=''
+                    )
+                }
             }
         },
         .counts = function(var) {
diff --git a/R/reliability.b.R b/R/reliability.b.R
index 545a17d5..d6d6f253 100644
--- a/R/reliability.b.R
+++ b/R/reliability.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 reliabilityClass <- R6::R6Class(
     "reliabilityClass",
     inherit = reliabilityBase,
@@ -111,24 +112,24 @@ reliabilityClass <- R6::R6Class(
             items <- self$options$revItems
 
             for (i in seq_along(items))
-                table$addFootnote(rowKey=items[i], 'name', 'reverse scaled item')
+                table$addFootnote(rowKey=items[i], 'name', .('reverse scaled item'))
         },
         .initOutputs = function() {
             description = function(aggrType) {
                 return(
                     jmvcore::format(
-                        "{} score based on the variables {}",
-                        aggrType,
-                        listItems(private$.getVarList())
+                        .("{type} score based on the variables {vars}"),
+                        type=aggrType,
+                        vars=listItems(self, private$.getVarList())
                     )
                 )
             }
 
             if (self$options$meanScoreOV)
-                self$results$meanScoreOV$setDescription(description("Mean"))
+                self$results$meanScoreOV$setDescription(description(.("Mean")))
 
             if (self$options$sumScoreOV)
-                self$results$sumScoreOV$setDescription(description("Sum"))
+                self$results$sumScoreOV$setDescription(description(.("Sum")))
         },
 
         #### Populate tables ----
@@ -150,11 +151,15 @@ reliabilityClass <- R6::R6Class(
 
             if (length(negCorItems) > 0) {
                 if (length(negCorItems) == 1) {
-                    note <- jmvcore::format('item {} correlates negatively with the total scale and probably should be reversed',
-                                            listItems(negCorItems))
+                    note <- jmvcore::format(
+                        .('item {item} correlates negatively with the total scale and probably should be reversed'),
+                        item=listItems(self, negCorItems)
+                    )
                 } else {
-                    note <- jmvcore::format('items {} correlate negatively with the total scale and probably should be reversed',
-                                            listItems(negCorItems))
+                    note <- jmvcore::format(
+                        .('items {items} correlate negatively with the total scale and probably should be reversed'),
+                        items=listItems(self, negCorItems)
+                    )
                 }
                 table$setNote(key='negCor', note=note, init=FALSE)
             }
@@ -239,7 +244,7 @@ reliabilityClass <- R6::R6Class(
                         geom_tile(color = "white") +
                         scale_fill_gradient2(low = "#FF1919", high = "#00B233", mid = "white",
                                              midpoint = 0, limit = c(-1,1), space = "Lab",
-                                             name="Pearson\nCorrelation") +
+                                             name=jmvcore::format(.("Pearson{}Correlation"), "\n")) +
                         coord_fixed() +
                         geom_text(aes(Var2, Var1, label = value), color = "black", size = 4) +
                         guides(fill = guide_colorbar(barwidth = 7, barheight = 1,
@@ -282,11 +287,11 @@ reliabilityClass <- R6::R6Class(
             noVarItems <- sapply(data, function(x) var(x, na.rm = TRUE) == 0)
 
             if (any(infItems))
-                jmvcore::reject("Item '{}' contains infinite values", code='', items[infItems])
+                jmvcore::reject(.("Item '{item}' contains infinite values"), code='', item=items[infItems])
             if (any(allNAItems))
-                jmvcore::reject("Item '{}' contains only missing values", code='', items[allNAItems])
+                jmvcore::reject(.("Item '{item}' contains only missing values"), code='', item=items[allNAItems])
             if (any(noVarItems))
-                jmvcore::reject("Item '{}' has no variance", code='', items[noVarItems])
+                jmvcore::reject(.("Item '{item}' has no variance"), code='', item=items[noVarItems])
         },
         .getNegCorItems = function() {
             if (is.null(private$.negCorItems))
@@ -297,8 +302,12 @@ reliabilityClass <- R6::R6Class(
         .getVarList = function() {
             if (is.null(private$.varList)) {
                 items <- self$options$vars
-                for (revItem in self$options$revItems)
-                    items[which(revItem == self$options$vars)] <- paste0(revItem, " (reversed)")
+                for (revItem in self$options$revItems) {
+                    items[which(revItem == self$options$vars)] <- jmvcore::format(
+                        .("{varName} (reversed)"),
+                        varName=revItem
+                    )
+                }
 
                 private$.varList <- items
             }
diff --git a/R/ttestis.b.R b/R/ttestis.b.R
index 02df6d96..d137e7e7 100644
--- a/R/ttestis.b.R
+++ b/R/ttestis.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 ttestISClass <- R6::R6Class(
     "ttestISClass",
     inherit=ttestISBase,
@@ -27,7 +28,7 @@ ttestISClass <- R6::R6Class(
             confIntES <- 1 - self$options$ciWidthES / 100
 
             if (any(depVarNames == groupVarName))
-                jmvcore::reject("Grouping variable '{a}' must not also be a dependent variable",
+                jmvcore::reject(.("Grouping variable '{a}' must not also be a dependent variable"),
                                 code="a_is_dependent_variable", a=groupVarName)
 
             # exclude rows with missings in the grouping variable
@@ -40,13 +41,13 @@ ttestISClass <- R6::R6Class(
             groupLevels <- base::levels(data[[groupVarName]])
 
             if (length(groupLevels) != 2)
-                jmvcore::reject("Grouping variable '{a}' must have exactly 2 levels",
+                jmvcore::reject(.("Grouping variable '{a}' must have exactly 2 levels"),
                                 code="grouping_var_must_have_2_levels", a=groupVarName)
 
             if (self$options$miss == "listwise") {
                 data <- naOmit(data)
                 if (dim(data)[1] == 0)
-                    jmvcore::reject("Grouping variable '{a}' has less than 2 levels after missing values are excluded",
+                    jmvcore::reject(.("Grouping variable '{a}' has less than 2 levels after missing values are excluded"),
                                     code="grouping_var_must_have_2_levels", a=groupVarName)
             }
 
@@ -101,12 +102,12 @@ ttestISClass <- R6::R6Class(
                 if (isError(levene)) {
 
                     eqvTable$setRow(rowKey=depName, list("f"=NaN, "df"="", "df2"="", "p"=""))
-                    eqvTable$addFootnote(rowKey=depName, "f", "F-statistic could not be calculated")
+                    eqvTable$addFootnote(rowKey=depName, "f", .("F-statistic could not be calculated"))
 
                 } else if (is.na(levene[1,"F value"])) {
 
                     eqvTable$setRow(rowKey=depName, list("f"=NaN, "df"="", "df2"="", "p"=""))
-                    eqvTable$addFootnote(rowKey=depName, "f", "F-statistic could not be calculated")
+                    eqvTable$addFootnote(rowKey=depName, "f", .("F-statistic could not be calculated"))
 
                 } else {
 
@@ -121,9 +122,9 @@ ttestISClass <- R6::R6Class(
                 if (self$options$students) {
 
                     if (is.factor(dataTTest$dep))
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     else if (any(is.infinite(dataTTest$dep)))
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     else
                         res <- try(t.test(dep ~ group, data=dataTTest, var.equal=TRUE, paired=FALSE,
                                           alternative=Ha, conf.level=confInt), silent=TRUE)
@@ -144,11 +145,11 @@ ttestISClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'grouping factor must have exactly 2 levels')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'not enough observations')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'data are essentially constant')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
 
                         ttestTable$addFootnote(rowKey=depName, 'stat[stud]', message)
 
@@ -170,15 +171,15 @@ ttestISClass <- R6::R6Class(
                     # ## Inform if a student's t-test is appropriate using Levene's test
                     if (!isError(levene) && !is.na(levene[1,"Pr(>F)"]) && levene[1,"Pr(>F)"] < .05)
                         ttestTable$addFootnote(rowKey=depName, "stat[stud]",
-                                               "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances")
+                                               .("Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"))
                 }
 
                 if (self$options$welchs) {
 
                     if (is.factor(dataTTest$dep))
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     else if (any(is.infinite(dataTTest$dep)))
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     else
                         res <- try(t.test(dep ~ group, data=dataTTest, var.equal=FALSE, paired=FALSE,
                                           alternative=Ha, conf.level=confInt), silent=TRUE)
@@ -213,13 +214,13 @@ ttestISClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'grouping factor must have exactly 2 levels')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == "not enough 'x' observations")
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'missing value where TRUE/FALSE needed')
-                            message <- 'Variable contains infinite values'
+                            message <- .('Variable contains infinite values')
                         else if (message == 'data are essentially constant')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
 
                         ttestTable$addFootnote(rowKey=depName, 'stat[welc]', message)
                     }
@@ -228,10 +229,10 @@ ttestISClass <- R6::R6Class(
                 if (self$options$mann) {
 
                     if (is.factor(dataTTest$dep)) {
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     }
                     else if (any(is.infinite(dataTTest$dep))) {
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     }
                     else {
 
@@ -314,11 +315,11 @@ ttestISClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'grouping factor must have exactly 2 levels')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'not enough observations')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'cannot compute confidence interval when all observations are tied')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
 
                         ttestTable$addFootnote(rowKey=depName, 'stat[mann]', message)
                     }
@@ -333,11 +334,11 @@ ttestISClass <- R6::R6Class(
                     if (length(dataTTest$dep) < 3) {
                         values[['w']] <- NaN
                         values[['p']] <- ''
-                        footnote <- 'Too few samples to compute statistic (N < 3)'
+                        footnote <- .('Too few samples to compute statistic (N < 3)')
                     } else if (length(dataTTest$dep) > 5000) {
                         values[['w']] <- NaN
                         values[['p']] <- ''
-                        footnote <- 'Too many samples to compute statistic (N > 5000)'
+                        footnote <- .('Too many samples to compute statistic (N > 5000)')
                     } else {
                         residuals <- tapply(dataTTest$dep, dataTTest$group, function(x) x - mean(x))
                         residuals <- unlist(residuals, use.names=FALSE)
@@ -380,9 +381,9 @@ ttestISClass <- R6::R6Class(
                 if (self$options$bf) {
 
                     if (is.factor(dataTTest$dep))
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     else if (any(is.infinite(dataTTest$dep)))
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     else {
 
                         if (self$options$hypothesis == 'oneGreater') {
@@ -407,13 +408,13 @@ ttestISClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'grouping factor must have exactly 2 levels')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'not enough observations')
-                            message <- 'One or both groups do not contain enough observations'
+                            message <- .('One or both groups do not contain enough observations')
                         else if (message == 'Dependent variable must be numeric.')
-                            message <- 'Variable is not numeric'
+                            message <- .('Variable is not numeric')
                         else if (message == 'data are essentially constant')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
                         ttestTable$addFootnote(rowKey=depName, 'stat[bf]', message)
 
                     } else {
@@ -493,7 +494,9 @@ ttestISClass <- R6::R6Class(
 
             table <- self$results$ttest
 
-            ciTitle <- paste0(self$options$ciWidth, '% Confidence Interval')
+            ciTitleString <- .('{ciWidth}% Confidence Interval')
+
+            ciTitle <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidth)
             table$getColumn('ciu[stud]')$setSuperTitle(ciTitle)
             table$getColumn('cil[stud]')$setSuperTitle(ciTitle)
             table$getColumn('ciu[bf]')$setSuperTitle(ciTitle)
@@ -503,7 +506,7 @@ ttestISClass <- R6::R6Class(
             table$getColumn('ciu[mann]')$setSuperTitle(ciTitle)
             table$getColumn('cil[mann]')$setSuperTitle(ciTitle)
 
-            ciTitleES <- paste0(self$options$ciWidthES, '% Confidence Interval')
+            ciTitleES <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidthES)
             table$getColumn('ciues[stud]')$setSuperTitle(ciTitleES)
             table$getColumn('ciles[stud]')$setSuperTitle(ciTitleES)
             table$getColumn('ciues[bf]')$setSuperTitle(ciTitleES)
@@ -537,10 +540,19 @@ ttestISClass <- R6::R6Class(
                 geom_point(aes(x=group, y=stat, shape=type), color=theme$color[1],
                            fill=theme$fill[1], size=3, position=pd) +
                 labs(x=groupName, y=image$key) +
-                scale_shape_manual(name='', values=c(mean=21, median=22),
-                                   labels=c(mean=paste0('Mean (', ciw, '% CI)'), median='Median')) +
-                ggtheme + theme(plot.title = ggplot2::element_text(margin=ggplot2::margin(b = 5.5 * 1.2)),
-                                plot.margin = ggplot2::margin(5.5, 5.5, 5.5, 5.5))
+                scale_shape_manual(
+                    name='',
+                    values=c(mean=21, median=22),
+                    labels=c(
+                        mean=jmvcore::format(.('Mean ({ciWidth}% CI)'), ciWidth=ciw),
+                        median=.('Median')
+                    )
+                ) +
+                ggtheme +
+                theme(
+                    plot.title=ggplot2::element_text(margin=ggplot2::margin(b = 5.5 * 1.2)),
+                    plot.margin = ggplot2::margin(5.5, 5.5, 5.5, 5.5)
+                )
 
             return(plot)
         },
@@ -564,8 +576,8 @@ ttestISClass <- R6::R6Class(
             plot <- ggplot(data=data) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 stat_qq(aes(sample=y), size=2, colour=theme$color[1]) +
-                xlab("Theoretical Quantiles") +
-                ylab("Standardized Residuals") +
+                xlab(.("Theoretical Quantiles")) +
+                ylab(.("Standardized Residuals")) +
                 ggtheme
 
             print(plot)
diff --git a/R/ttestones.b.R b/R/ttestones.b.R
index 717d8d54..dc0f2260 100644
--- a/R/ttestones.b.R
+++ b/R/ttestones.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 ttestOneSClass <- R6::R6Class(
     "ttestOneSClass",
     inherit=ttestOneSBase,
@@ -62,9 +63,9 @@ ttestOneSClass <- R6::R6Class(
                 if (self$options$get("students")) {
 
                     if (is.factor(column))
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     else if (any(is.infinite(column)))
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     else
                         res <- try(t.test(column, mu=testValue, paired=FALSE, conf.level=cl,
                                           alternative=Ha), silent=TRUE)
@@ -97,9 +98,9 @@ ttestOneSClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == "not enough 'x' observations")
-                            message <- 'Variable does not contain enough observations'
+                            message <- .('Variable does not contain enough observations')
                         else if (message == 'data are essentially constant')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
                         ttest$addFootnote(rowNo=i, 'stat[stud]', message)
                     }
                 }
@@ -107,9 +108,9 @@ ttestOneSClass <- R6::R6Class(
                 if (self$options$wilcoxon || self$options$mann) {
 
                     if (is.factor(column))
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     else if (length(column) == 0)
-                        res <- createError('Variable does not contain enough observations')
+                        res <- createError(.('Variable does not contain enough observations'))
                     else
                         res <- try(suppressWarnings(wilcox.test(column, mu=testValue,
                                                                 alternative=Ha,
@@ -147,7 +148,7 @@ ttestOneSClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'cannot compute confidence interval when all observations are tied')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
                         ttest$addFootnote(rowNo=i, 'stat[wilc]', message)
                     }
                 }
@@ -156,13 +157,13 @@ ttestOneSClass <- R6::R6Class(
                 if (n < 3) {
 
                     normality$addFootnote(rowNo=i, "w",
-                                          "Too few observations (N < 3) to compute statistic")
+                                          .("Too few observations (N < 3) to compute statistic"))
                     res <- list(statistic=NaN, p.value='')
 
                 } else if (n > 5000) {
 
                     normality$addFootnote(rowNo=i, "w",
-                                          "Too many observations (N > 5000) to compute statistic")
+                                          .("Too many observations (N > 5000) to compute statistic"))
                     res <- list(statistic=NaN, p.value='')
 
                 }
@@ -204,9 +205,9 @@ ttestOneSClass <- R6::R6Class(
                 if (self$options$get('bf')) {
 
                     if (is.factor(column)) {
-                        res <- createError('Variable is not numeric')
+                        res <- createError(.('Variable is not numeric'))
                     } else if (any(is.infinite(column))) {
-                        res <- createError('Variable contains infinite values')
+                        res <- createError(.('Variable contains infinite values'))
                     } else {
 
                         if (self$options$get('hypothesis') == 'gt') {
@@ -232,9 +233,9 @@ ttestOneSClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'not enough observations')
-                            message = 'Variable does not contain enough observations'
+                            message = .('Variable does not contain enough observations')
                         else if (message == 'data are essentially constant')
-                            message <- 'All observations are tied'
+                            message <- .('All observations are tied')
                         ttest$addFootnote(rowKey=name, 'stat[bf]', message)
 
                     } else {
@@ -263,8 +264,9 @@ ttestOneSClass <- R6::R6Class(
             testValue  <- self$options$get('testValue')
             table <- self$results$get("ttest")
 
-            ciTitle <- paste0(self$options$get('ciWidth'), '% Confidence Interval')
+            ciTitleString <- .('{ciWidth}% Confidence Interval')
 
+            ciTitle <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidth)
             table$getColumn('ciu[stud]')$setSuperTitle(ciTitle)
             table$getColumn('cil[stud]')$setSuperTitle(ciTitle)
             table$getColumn('ciu[bf]')$setSuperTitle(ciTitle)
@@ -272,8 +274,7 @@ ttestOneSClass <- R6::R6Class(
             table$getColumn('ciu[wilc]')$setSuperTitle(ciTitle)
             table$getColumn('cil[wilc]')$setSuperTitle(ciTitle)
 
-            ciTitleES <- paste0(self$options$ciWidthES, '% Confidence Interval')
-
+            ciTitleES <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidthES)
             table$getColumn('ciues[stud]')$setSuperTitle(ciTitleES)
             table$getColumn('ciles[stud]')$setSuperTitle(ciTitleES)
             table$getColumn('ciues[bf]')$setSuperTitle(ciTitleES)
@@ -325,8 +326,8 @@ ttestOneSClass <- R6::R6Class(
             plot <- ggplot(data=data) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 stat_qq(aes(sample=y), size=2, colour=theme$color[1]) +
-                xlab("Theoretical Quantiles") +
-                ylab("Standardized Residuals") +
+                xlab(.("Theoretical Quantiles")) +
+                ylab(.("Standardized Residuals")) +
                 ggtheme
 
             print(plot)
diff --git a/R/ttestps.b.R b/R/ttestps.b.R
index b401d518..30e91221 100644
--- a/R/ttestps.b.R
+++ b/R/ttestps.b.R
@@ -1,4 +1,5 @@
 
+#' @importFrom jmvcore .
 ttestPSClass <- R6::R6Class(
     "ttestPSClass",
     inherit=ttestPSBase,
@@ -68,8 +69,8 @@ ttestPSClass <- R6::R6Class(
                 dCI <- psych::d.ci(d, n1=n, alpha=confIntES)
 
                 if (is.factor(column1) || is.factor(column2)) {
-                    stud <- createError('One or both variables are not numeric')
-                    wilc <- createError('One or both variables are not numeric')
+                    stud <- createError(.('One or both variables are not numeric'))
+                    wilc <- createError(.('One or both variables are not numeric'))
                 }
                 else {
                     stud <- try(t.test(column1, column2, paired=TRUE, conf.level=confInt, alternative=Ha), silent=TRUE)
@@ -105,9 +106,9 @@ ttestPSClass <- R6::R6Class(
 
                     message <- extractErrorMessage(stud)
                     if (message == "not enough 'x' observations")
-                        message <- 'One or both variables do not contain enough observations'
+                        message <- .('One or both variables do not contain enough observations')
                     else if (message == 'missing value where TRUE/FALSE needed')
-                        message <- 'One or both variables contain infinite values'
+                        message <- .('One or both variables contain infinite values')
 
                     ttestTable$addFootnote(rowKey=pair, 'stat[stud]', message)
                 }
@@ -130,7 +131,7 @@ ttestPSClass <- R6::R6Class(
                         "ciues[wilc]"=''))
 
                     if (nTies > 0) {
-                        message <- paste0(nTies, ' pair(s) of values were tied')
+                        message <- jmvcore::format(.('{n} pair(s) of values were tied'), n=nTies)
                         ttestTable$addFootnote(rowKey=pair, 'stat[wilc]', message)
                     }
 
@@ -150,13 +151,13 @@ ttestPSClass <- R6::R6Class(
 
                     message <- extractErrorMessage(wilc)
                     if (message == "not enough 'x' observations")
-                        message <- 'One or both variables do not contain enough observations'
+                        message <- .('One or both variables do not contain enough observations')
                     else if (message == 'missing value where TRUE/FALSE needed')
-                        message <- 'One or both variables contain infinite values'
+                        message <- .('One or both variables contain infinite values')
                     else if (message == 'cannot compute confidence interval when all observations are tied')
-                        message <- 'All observations are tied'
+                        message <- .('All observations are tied')
                     else if (message == "'y' must be numeric")
-                        message <- 'One or both variables contain no observations'
+                        message <- .('One or both variables contain no observations')
 
                     ttestTable$addFootnote(rowKey=pair, 'stat[wilc]', message)
                 }
@@ -168,10 +169,10 @@ ttestPSClass <- R6::R6Class(
                 p <- ''
 
                 if (n < 3) {
-                    normTable$addFootnote(rowKey=pair, 'w', "Too few observations (N < 3) to compute statistic")
+                    normTable$addFootnote(rowKey=pair, 'w', .("Too few observations (N < 3) to compute statistic"))
                 }
                 else if (n > 5000) {
-                    normTable$addFootnote(rowKey=pair, 'w', "Too many observations (N > 5000) to compute statistic")
+                    normTable$addFootnote(rowKey=pair, 'w', .("Too many observations (N > 5000) to compute statistic"))
                 }
                 else {
                     res <- try(shapiro.test(column1-column2), silent=TRUE)
@@ -209,9 +210,9 @@ ttestPSClass <- R6::R6Class(
                 if (self$options$get('bf')) {
 
                     if (is.factor(column1) || is.factor(column2)) {
-                        res <- createError('One or both variables are not numeric')
+                        res <- createError(.('One or both variables are not numeric'))
                     } else if (any(is.infinite(column1)) || any(is.infinite(column2))) {
-                        res <- createError('One or both variables contain infinite values')
+                        res <- createError(.('One or both variables contain infinite values'))
                     } else {
 
                         if (self$options$get('hypothesis') == 'oneGreater') {
@@ -235,7 +236,7 @@ ttestPSClass <- R6::R6Class(
 
                         message <- extractErrorMessage(res)
                         if (message == 'not enough observations')
-                            message = 'One or both variables do not contain enough observations'
+                            message = .('One or both variables do not contain enough observations')
                         ttestTable$addFootnote(rowKey=pair, 'stat[bf]', message)
 
                     } else {
@@ -302,8 +303,9 @@ ttestPSClass <- R6::R6Class(
             hypothesis <- self$options$get('hypothesis')
             ttestTable <- self$results$get('ttest')
 
-            ciTitle <- paste0(self$options$get('ciWidth'), '% Confidence Interval')
+            ciTitleString <- .('{ciWidth}% Confidence Interval')
 
+            ciTitle <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidth)
             ttestTable$getColumn('ciu[stud]')$setSuperTitle(ciTitle)
             ttestTable$getColumn('cil[stud]')$setSuperTitle(ciTitle)
             ttestTable$getColumn('ciu[bf]')$setSuperTitle(ciTitle)
@@ -311,8 +313,7 @@ ttestPSClass <- R6::R6Class(
             ttestTable$getColumn('ciu[wilc]')$setSuperTitle(ciTitle)
             ttestTable$getColumn('cil[wilc]')$setSuperTitle(ciTitle)
 
-            ciTitleES <- paste0(self$options$ciWidthES, '% Confidence Interval')
-
+            ciTitleES <- jmvcore::format(ciTitleString, ciWidth=self$options$ciWidthES)
             ttestTable$getColumn('ciues[stud]')$setSuperTitle(ciTitleES)
             ttestTable$getColumn('ciles[stud]')$setSuperTitle(ciTitleES)
             ttestTable$getColumn('ciues[bf]')$setSuperTitle(ciTitleES)
@@ -320,13 +321,19 @@ ttestPSClass <- R6::R6Class(
             ttestTable$getColumn('ciues[wilc]')$setSuperTitle(ciTitleES)
             ttestTable$getColumn('ciles[wilc]')$setSuperTitle(ciTitleES)
 
-            if (hypothesis == 'oneGreater')
-                ttestTable$setNote("hyp", "H\u2090 \u03BC\u2009<sub>Measure 1 - Measure 2</sub> > 0")
-            else if (hypothesis == 'twoGreater')
-                ttestTable$setNote("hyp", "H\u2090 \u03BC\u2009<sub>Measure 1 - Measure 2</sub> < 0")
-            else
+            if (hypothesis == 'oneGreater') {
+                ttestTable$setNote(
+                    "hyp",
+                    jmvcore::format("H\u2090 \u03BC\u2009<sub>{}</sub> > 0", .("Measure 1 - Measure 2"))
+                )
+            } else if (hypothesis == 'twoGreater') {
+                ttestTable$setNote(
+                    "hyp",
+                    jmvcore::format("H\u2090 \u03BC\u2009<sub>{}</sub> < 0", .("Measure 1 - Measure 2"))
+                )
+            } else {
                 ttestTable$setNote("hyp", NULL)
-
+            }
 
             pairs <- self$options$pairs
             descTable <- self$results$desc
@@ -362,11 +369,13 @@ ttestPSClass <- R6::R6Class(
 
             pd <- position_dodge(0.2)
 
+            labels <- c(jmvcore::format(.('Mean ({ciWidth}% CI)'), ciWidth=ciw), .('Median'))
+
             plot <- ggplot(data=image$state, aes(x=group, y=stat, shape=type)) +
                 geom_errorbar(aes(x=group, ymin=stat-cie, ymax=stat+cie, shape=type, width=.2), size=.8, colour=theme$color[1], position=pd) +
                 geom_point(aes(x=group, y=stat, colour=type, shape=type), fill=theme$fill[1], size=3, colour=theme$color[1], position=pd) +
                 labs(x=groupName, y=NULL) +
-                scale_shape_manual(name='', values=c(mean=21, median=22), labels=c(mean=paste0('Mean (', ciw, '% CI)'), median='Median')) +
+                scale_shape_manual(name='', values=c(mean=21, median=22), labels=labels) +
                 ggtheme + theme(plot.title = ggplot2::element_text(margin=ggplot2::margin(b = 5.5 * 1.2)),
                               plot.margin = ggplot2::margin(5.5, 5.5, 5.5, 5.5))
 
@@ -387,8 +396,8 @@ ttestPSClass <- R6::R6Class(
             plot <- ggplot(data=data) +
                 geom_abline(slope=1, intercept=0, colour=theme$color[1]) +
                 stat_qq(aes(sample=y), size=2, colour=theme$color[1]) +
-                xlab("Theoretical Quantiles") +
-                ylab("Standardized Residuals") +
+                xlab(.("Theoretical Quantiles")) +
+                ylab(.("Standardized Residuals")) +
                 ggtheme
 
             return(plot)
diff --git a/R/utils.R b/R/utils.R
index 0482bc95..fcf84ed9 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -130,29 +130,24 @@ tapply = function (X, INDEX, FUN = NULL, ..., simplify = TRUE, drop = TRUE)
     ansmat
 }
 
-listItems = function(items, quote = '\'') {
+listItems <- function(self, items, quote = '\'') {
+
+    items <- vapply(items, function(x) paste0(quote, x, quote), '', USE.NAMES=FALSE)
 
     if (length(items) == 1) {
 
-        l <- paste0(quote, items, quote)
+        l <- items
 
     } else if (length(items) == 2) {
 
-        itemsQuote <- character(length(items))
-        for (i in seq_along(items))
-            itemsQuote[i] <- paste0(quote, items[i], quote)
-
-        l <- paste0(itemsQuote, collapse = ' and ')
+        l <- jmvcore::format(.('{item1} and {item2}'), item1=items[1], item2=items[2])
 
     } else {
 
-        itemsQuote <- character(length(items))
-        for (i in seq_along(items))
-            itemsQuote[i] <- paste0(quote, items[i], quote)
-
-        l <- paste0(itemsQuote[1:(length(itemsQuote)-1)], collapse = ', ')
-        l <- paste(l, itemsQuote[length(itemsQuote)], sep = ', and ')
-
+        l <- items[1]
+        for (i in seq(2, length(items)-1))
+            l <- jmvcore::format(.('{list}, {nextItem}'), list=l, nextItem=items[i])
+        l <- jmvcore::format(.('{list}, and {lastItem}'), list=l, lastItem=items[length(items)])
     }
 
     return(l)
diff --git a/data/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).csv b/data/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).csv
new file mode 100644
index 00000000..1dd9e9ce
--- /dev/null
+++ b/data/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).csv	
@@ -0,0 +1,501 @@
+"Neuroticism" "Extraversion" "Openness" "Agreeableness" "Conscientiousness"
+2.47916666666667 4.20833333333333 3.9375 3.95833333333333 3.45833333333333
+2.60416666666667 3.1875 3.95833333333333 3.39583333333333 3.22916666666667
+2.8125 2.89583333333333 3.41666666666667 2.75 3.5
+2.89583333333333 3.5625 3.52083333333333 3.16666666666667 2.79166666666667
+3.02083333333333 3.33333333333333 4.02083333333333 3.20833333333333 2.85416666666667
+2.52083333333333 3.29166666666667 3.4375 3.70833333333333 2.5
+2.35416666666667 4.41666666666667 4.58333333333333 3.0625 3.33333333333333
+2.52083333333333 3.5 2.89583333333333 3.66666666666667 3.0625
+3.10416666666667 3.8125 4.0625 3.77083333333333 2.83333333333333
+2.6875 3.54708333333333 3.78666666666667 3.35416666666667 3.10416666666667
+2.625 3.45833333333333 2.89583333333333 3.45833333333333 3.375
+2.375 3.77083333333333 3.16666666666667 3.5 3.52083333333333
+3.0625 3.41666666666667 3.77083333333333 3.8125 3.125
+3.125 2.52083333333333 2.64583333333333 3.75 3.20833333333333
+2.58333333333333 3.02083333333333 3.5 3.41666666666667 3.58333333333333
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diff --git a/data/Bugs (Ryan, Wilde & Crist, 2013).csv b/data/Bugs (Ryan, Wilde & Crist, 2013).csv
new file mode 100644
index 00000000..21e9af0e
--- /dev/null
+++ b/data/Bugs (Ryan, Wilde & Crist, 2013).csv	
@@ -0,0 +1,94 @@
+"Subject","Gender","Region","Education","LDLF","LDHF","HDLF","HDHF"
+1,"Female","North America","some",6,6,9,10
+2,"Female","North America","advance",10,,10,10
+3,"Female","Europe","college",5,10,10,10
+4,"Female","North America","college",6,9,6,9
+5,"Female","North America","some",3,6.5,5.5,8.5
+6,"Female","Europe","some",2,0.5,7.5,3
+7,"Female","North America","some",10,10,10,10
+8,"Female","North America","high",10,10,9,10
+9,"Female","North America","high",9.5,9.5,6,10
+10,"Female","Other","high",8.5,10,7,
+11,"Male","North America","some",0,2.5,0,0
+12,"Male","North America","some",9.5,7.5,8.5,10
+13,"Female","North America","less",7,8.5,6.5,8.5
+14,"Female","North America","some",3,8,4,8.5
+15,"Male","North America","some",4,5,6,7
+16,"Male","North America","high",7,8.5,8.5,9
+17,"Male","North America","some",2,6,10,10
+18,"Female","North America","high",7.5,6,7.5,10
+19,"Female","North America","some",6.5,6,10,10
+20,"Female","North America","some",7,9,8.5,9.5
+22,"Female","North America","some",3,4.5,5,9.5
+23,"Female","Australia","some",2.5,9.5,4.5,7.5
+24,"Female","North America","less",10,10,9,10
+25,"Male","Europe","high",0,1.5,4,1.5
+26,"Female","Europe","some",0.5,0.5,4.5,5.5
+27,"Female","North America","less",5,7.5,3.5,10
+29,"Female","Other","some",6.5,5,10,10
+30,"Female","North America","some",8,9,8,8
+31,"Female","North America","some",3,10,7.5,6
+32,"Male","Europe","some",7.5,7,6.5,10
+33,"Male","North America","some",6.5,10,10,4
+34,"Male","Europe","college",4.5,8.5,8.5,6
+35,"Male","North America","some",3,2,8,4
+36,"Male","North America","some",6,10,2,4.5
+37,"Female","North America","some",4,10,7,10
+38,"Female","North America","some",4.5,7,10,10
+39,"Male","North America","some",7,7,10,9
+40,,,,8,8.5,8,9.5
+41,"Female","North America","some",5,7.5,7.5,7.5
+42,"Female","North America","high",5,8.5,,9.5
+43,"Female","North America","some",2,2,0,5.5
+45,"Male","North America","partial",7.5,7,6.5,8
+46,"Female","North America","less",3.5,4,1,10
+47,"Female","North America","advance",5,7.5,0.5,2.5
+48,"Male","North America","some",2,3.5,9.5,5.5
+49,"Male","North America","some",4,8,1.5,9.5
+50,"Female","North America","some",5,6,4.5,3.5
+51,"Female","North America","some",5.5,2.5,8,9
+52,"Female","North America","less",10,10,10,10
+53,"Female","North America","some",7,8.5,4,9
+54,"Female","Other","some",5.5,10,6,10
+56,"Female","North America","some",10,10,10,10
+57,"Female","South America","some",9.5,10,10,10
+58,"Male","North America","some",6,4.5,7.5,6
+59,"Female","North America","less",7.5,6.5,10,8.5
+60,"Male","North America","less",3.5,7.5,8,8
+61,"Female","North America","college",2.5,7.5,5,7.5
+62,"Male","North America","less",3.5,9.5,3.5,8
+64,"Female","Europe","some",8.5,6,,5
+65,"Female","North America","less",3,8.5,10,2.5
+66,"Male","North America","less",6,10,3,8.5
+67,"Male","North America","high",5.5,8,4.5,9.5
+68,"Male","North America","high",3,8,10,7
+69,"Male","North America","college",2,8.5,4,6
+70,"Female","North America","less",4,9,2.5,10
+71,"Female","North America","less",9,10,8.5,10
+72,"Female","North America","some",10,10,10,10
+73,"Female","North America","some",5.5,6,1,5.5
+74,"Male","North America","less",6,8.5,8.5,9
+76,"Female","North America","some",9,9,9,9
+77,"Female","North America","some",6,6,7.5,6
+78,"Female","North America","less",5,6.5,0.5,5.5
+79,"Male","North America","less",6,8,9,7
+80,"Female","North America","less",1.5,,9,9.5
+81,"Male","North America","high",5.5,4,10,5.5
+82,"Female","North America","high",9.5,9.5,9.5,8.5
+83,"Female","North America","high",8,8,8.5,10
+84,"Female","North America","some",0,5,0,5
+85,"Female","North America","high",3,3,0.5,7
+86,"Male","North America","less",7,7,8.5,7.5
+87,"Female","North America","partial",5,4,3.5,5.5
+88,"Female","North America","high",10,10,10,10
+89,"Male","North America","less",7.5,8,9.5,10
+90,"Male","North America","less",6,8,4.5,6.5
+91,"Female","Other","some",7,7.5,8.5,8
+92,"Female","Europe","less",6.5,9.5,4,8.5
+93,"Female","North America","less",6.5,10,10,10
+95,"Female","North America","less",3,4,2,2
+96,"Male","North America","high",10,10,10,10
+97,"Female","North America",,8.5,10,8.5,10
+98,"Female","North America","some",1.5,10,8.5,10
+99,"Female","North America","some",9,10,10,10
+100,"Female","Europe","some",5.5,5.5,2,3
diff --git a/data/Tooth Growth.csv b/data/Tooth Growth.csv
new file mode 100644
index 00000000..4e883ee1
--- /dev/null
+++ b/data/Tooth Growth.csv	
@@ -0,0 +1 @@
+len,supp,dose
4.2,VC,500
11.5,VC,500
7.3,VC,500
5.8,VC,500
6.4,VC,500
10,VC,500
11.2,VC,500
11.2,VC,500
5.2,VC,500
7,VC,500
16.5,VC,1000
16.5,VC,1000
15.2,VC,1000
17.3,VC,1000
22.5,VC,1000
17.3,VC,1000
13.6,VC,1000
14.5,VC,1000
18.8,VC,1000
15.5,VC,1000
23.6,VC,2000
18.5,VC,2000
33.9,VC,2000
25.5,VC,2000
26.4,VC,2000
32.5,VC,2000
26.7,VC,2000
21.5,VC,2000
23.3,VC,2000
29.5,VC,2000
15.2,OJ,500
21.5,OJ,500
17.6,OJ,500
9.7,OJ,500
14.5,OJ,500
10,OJ,500
8.2,OJ,500
9.4,OJ,500
16.5,OJ,500
9.7,OJ,500
19.7,OJ,1000
23.3,OJ,1000
23.6,OJ,1000
26.4,OJ,1000
20,OJ,1000
25.2,OJ,1000
25.8,OJ,1000
21.2,OJ,1000
14.5,OJ,1000
27.3,OJ,1000
25.5,OJ,2000
26.4,OJ,2000
22.4,OJ,2000
24.5,OJ,2000
24.8,OJ,2000
30.9,OJ,2000
26.4,OJ,2000
27.3,OJ,2000
29.4,OJ,2000
23,OJ,2000
\ No newline at end of file
diff --git a/data/bugs.csv b/data/bugs.csv
deleted file mode 100644
index a3738847..00000000
--- a/data/bugs.csv
+++ /dev/null
@@ -1,94 +0,0 @@
-"Subject";"Gender";"Region";"Education";"LDLF";"LDHF";"HDLF";"HDHF"
-"1";1;"Female";"North America";"some";6;6;9;10
-"2";2;"Female";"North America";"advance";10;NA;10;10
-"3";3;"Female";"Europe";"college";5;10;10;10
-"4";4;"Female";"North America";"college";6;9;6;9
-"5";5;"Female";"North America";"some";3;6.5;5.5;8.5
-"6";6;"Female";"Europe";"some";2;0.5;7.5;3
-"7";7;"Female";"North America";"some";10;10;10;10
-"8";8;"Female";"North America";"high";10;10;9;10
-"9";9;"Female";"North America";"high";9.5;9.5;6;10
-"10";10;"Female";"Other";"high";8.5;10;7;NA
-"11";11;"Male";"North America";"some";0;2.5;0;0
-"12";12;"Male";"North America";"some";9.5;7.5;8.5;10
-"13";13;"Female";"North America";"less";7;8.5;6.5;8.5
-"14";14;"Female";"North America";"some";3;8;4;8.5
-"15";15;"Male";"North America";"some";4;5;6;7
-"16";16;"Male";"North America";"high";7;8.5;8.5;9
-"17";17;"Male";"North America";"some";2;6;10;10
-"18";18;"Female";"North America";"high";7.5;6;7.5;10
-"19";19;"Female";"North America";"some";6.5;6;10;10
-"20";20;"Female";"North America";"some";7;9;8.5;9.5
-"21";22;"Female";"North America";"some";3;4.5;5;9.5
-"22";23;"Female";"Australia";"some";2.5;9.5;4.5;7.5
-"23";24;"Female";"North America";"less";10;10;9;10
-"24";25;"Male";"Europe";"high";0;1.5;4;1.5
-"25";26;"Female";"Europe";"some";0.5;0.5;4.5;5.5
-"26";27;"Female";"North America";"less";5;7.5;3.5;10
-"27";29;"Female";"Other";"some";6.5;5;10;10
-"28";30;"Female";"North America";"some";8;9;8;8
-"29";31;"Female";"North America";"some";3;10;7.5;6
-"30";32;"Male";"Europe";"some";7.5;7;6.5;10
-"31";33;"Male";"North America";"some";6.5;10;10;4
-"32";34;"Male";"Europe";"college";4.5;8.5;8.5;6
-"33";35;"Male";"North America";"some";3;2;8;4
-"34";36;"Male";"North America";"some";6;10;2;4.5
-"35";37;"Female";"North America";"some";4;10;7;10
-"36";38;"Female";"North America";"some";4.5;7;10;10
-"37";39;"Male";"North America";"some";7;7;10;9
-"38";40;NA;NA;NA;8;8.5;8;9.5
-"39";41;"Female";"North America";"some";5;7.5;7.5;7.5
-"40";42;"Female";"North America";"high";5;8.5;NA;9.5
-"41";43;"Female";"North America";"some";2;2;0;5.5
-"42";45;"Male";"North America";"partial";7.5;7;6.5;8
-"43";46;"Female";"North America";"less";3.5;4;1;10
-"44";47;"Female";"North America";"advance";5;7.5;0.5;2.5
-"45";48;"Male";"North America";"some";2;3.5;9.5;5.5
-"46";49;"Male";"North America";"some";4;8;1.5;9.5
-"47";50;"Female";"North America";"some";5;6;4.5;3.5
-"48";51;"Female";"North America";"some";5.5;2.5;8;9
-"49";52;"Female";"North America";"less";10;10;10;10
-"50";53;"Female";"North America";"some";7;8.5;4;9
-"51";54;"Female";"Other";"some";5.5;10;6;10
-"52";56;"Female";"North America";"some";10;10;10;10
-"53";57;"Female";"South America";"some";9.5;10;10;10
-"54";58;"Male";"North America";"some";6;4.5;7.5;6
-"55";59;"Female";"North America";"less";7.5;6.5;10;8.5
-"56";60;"Male";"North America";"less";3.5;7.5;8;8
-"57";61;"Female";"North America";"college";2.5;7.5;5;7.5
-"58";62;"Male";"North America";"less";3.5;9.5;3.5;8
-"59";64;"Female";"Europe";"some";8.5;6;NA;5
-"60";65;"Female";"North America";"less";3;8.5;10;2.5
-"61";66;"Male";"North America";"less";6;10;3;8.5
-"62";67;"Male";"North America";"high";5.5;8;4.5;9.5
-"63";68;"Male";"North America";"high";3;8;10;7
-"64";69;"Male";"North America";"college";2;8.5;4;6
-"65";70;"Female";"North America";"less";4;9;2.5;10
-"66";71;"Female";"North America";"less";9;10;8.5;10
-"67";72;"Female";"North America";"some";10;10;10;10
-"68";73;"Female";"North America";"some";5.5;6;1;5.5
-"69";74;"Male";"North America";"less";6;8.5;8.5;9
-"70";76;"Female";"North America";"some";9;9;9;9
-"71";77;"Female";"North America";"some";6;6;7.5;6
-"72";78;"Female";"North America";"less";5;6.5;0.5;5.5
-"73";79;"Male";"North America";"less";6;8;9;7
-"74";80;"Female";"North America";"less";1.5;NA;9;9.5
-"75";81;"Male";"North America";"high";5.5;4;10;5.5
-"76";82;"Female";"North America";"high";9.5;9.5;9.5;8.5
-"77";83;"Female";"North America";"high";8;8;8.5;10
-"78";84;"Female";"North America";"some";0;5;0;5
-"79";85;"Female";"North America";"high";3;3;0.5;7
-"80";86;"Male";"North America";"less";7;7;8.5;7.5
-"81";87;"Female";"North America";"partial";5;4;3.5;5.5
-"82";88;"Female";"North America";"high";10;10;10;10
-"83";89;"Male";"North America";"less";7.5;8;9.5;10
-"84";90;"Male";"North America";"less";6;8;4.5;6.5
-"85";91;"Female";"Other";"some";7;7.5;8.5;8
-"86";92;"Female";"Europe";"less";6.5;9.5;4;8.5
-"87";93;"Female";"North America";"less";6.5;10;10;10
-"88";95;"Female";"North America";"less";3;4;2;2
-"89";96;"Male";"North America";"high";10;10;10;10
-"90";97;"Female";"North America";NA;8.5;10;8.5;10
-"91";98;"Female";"North America";"some";1.5;10;8.5;10
-"92";99;"Female";"North America";"some";9;10;10;10
-"93";100;"Female";"Europe";"some";5.5;5.5;2;3
diff --git a/data/iris.csv b/data/iris.csv
new file mode 100644
index 00000000..8b639309
--- /dev/null
+++ b/data/iris.csv
@@ -0,0 +1,151 @@
+Sepal.Length,Sepal.Width,Petal.Length,Petal.Width,Species
+5.1,3.5,1.4,0.2,setosa
+4.9,3,1.4,0.2,setosa
+4.7,3.2,1.3,0.2,setosa
+4.6,3.1,1.5,0.2,setosa
+5,3.6,1.4,0.2,setosa
+5.4,3.9,1.7,0.4,setosa
+4.6,3.4,1.4,0.3,setosa
+5,3.4,1.5,0.2,setosa
+4.4,2.9,1.4,0.2,setosa
+4.9,3.1,1.5,0.1,setosa
+5.4,3.7,1.5,0.2,setosa
+4.8,3.4,1.6,0.2,setosa
+4.8,3,1.4,0.1,setosa
+4.3,3,1.1,0.1,setosa
+5.8,4,1.2,0.2,setosa
+5.7,4.4,1.5,0.4,setosa
+5.4,3.9,1.3,0.4,setosa
+5.1,3.5,1.4,0.3,setosa
+5.7,3.8,1.7,0.3,setosa
+5.1,3.8,1.5,0.3,setosa
+5.4,3.4,1.7,0.2,setosa
+5.1,3.7,1.5,0.4,setosa
+4.6,3.6,1,0.2,setosa
+5.1,3.3,1.7,0.5,setosa
+4.8,3.4,1.9,0.2,setosa
+5,3,1.6,0.2,setosa
+5,3.4,1.6,0.4,setosa
+5.2,3.5,1.5,0.2,setosa
+5.2,3.4,1.4,0.2,setosa
+4.7,3.2,1.6,0.2,setosa
+4.8,3.1,1.6,0.2,setosa
+5.4,3.4,1.5,0.4,setosa
+5.2,4.1,1.5,0.1,setosa
+5.5,4.2,1.4,0.2,setosa
+4.9,3.1,1.5,0.2,setosa
+5,3.2,1.2,0.2,setosa
+5.5,3.5,1.3,0.2,setosa
+4.9,3.6,1.4,0.1,setosa
+4.4,3,1.3,0.2,setosa
+5.1,3.4,1.5,0.2,setosa
+5,3.5,1.3,0.3,setosa
+4.5,2.3,1.3,0.3,setosa
+4.4,3.2,1.3,0.2,setosa
+5,3.5,1.6,0.6,setosa
+5.1,3.8,1.9,0.4,setosa
+4.8,3,1.4,0.3,setosa
+5.1,3.8,1.6,0.2,setosa
+4.6,3.2,1.4,0.2,setosa
+5.3,3.7,1.5,0.2,setosa
+5,3.3,1.4,0.2,setosa
+7,3.2,4.7,1.4,versicolor
+6.4,3.2,4.5,1.5,versicolor
+6.9,3.1,4.9,1.5,versicolor
+5.5,2.3,4,1.3,versicolor
+6.5,2.8,4.6,1.5,versicolor
+5.7,2.8,4.5,1.3,versicolor
+6.3,3.3,4.7,1.6,versicolor
+4.9,2.4,3.3,1,versicolor
+6.6,2.9,4.6,1.3,versicolor
+5.2,2.7,3.9,1.4,versicolor
+5,2,3.5,1,versicolor
+5.9,3,4.2,1.5,versicolor
+6,2.2,4,1,versicolor
+6.1,2.9,4.7,1.4,versicolor
+5.6,2.9,3.6,1.3,versicolor
+6.7,3.1,4.4,1.4,versicolor
+5.6,3,4.5,1.5,versicolor
+5.8,2.7,4.1,1,versicolor
+6.2,2.2,4.5,1.5,versicolor
+5.6,2.5,3.9,1.1,versicolor
+5.9,3.2,4.8,1.8,versicolor
+6.1,2.8,4,1.3,versicolor
+6.3,2.5,4.9,1.5,versicolor
+6.1,2.8,4.7,1.2,versicolor
+6.4,2.9,4.3,1.3,versicolor
+6.6,3,4.4,1.4,versicolor
+6.8,2.8,4.8,1.4,versicolor
+6.7,3,5,1.7,versicolor
+6,2.9,4.5,1.5,versicolor
+5.7,2.6,3.5,1,versicolor
+5.5,2.4,3.8,1.1,versicolor
+5.5,2.4,3.7,1,versicolor
+5.8,2.7,3.9,1.2,versicolor
+6,2.7,5.1,1.6,versicolor
+5.4,3,4.5,1.5,versicolor
+6,3.4,4.5,1.6,versicolor
+6.7,3.1,4.7,1.5,versicolor
+6.3,2.3,4.4,1.3,versicolor
+5.6,3,4.1,1.3,versicolor
+5.5,2.5,4,1.3,versicolor
+5.5,2.6,4.4,1.2,versicolor
+6.1,3,4.6,1.4,versicolor
+5.8,2.6,4,1.2,versicolor
+5,2.3,3.3,1,versicolor
+5.6,2.7,4.2,1.3,versicolor
+5.7,3,4.2,1.2,versicolor
+5.7,2.9,4.2,1.3,versicolor
+6.2,2.9,4.3,1.3,versicolor
+5.1,2.5,3,1.1,versicolor
+5.7,2.8,4.1,1.3,versicolor
+6.3,3.3,6,2.5,virginica
+5.8,2.7,5.1,1.9,virginica
+7.1,3,5.9,2.1,virginica
+6.3,2.9,5.6,1.8,virginica
+6.5,3,5.8,2.2,virginica
+7.6,3,6.6,2.1,virginica
+4.9,2.5,4.5,1.7,virginica
+7.3,2.9,6.3,1.8,virginica
+6.7,2.5,5.8,1.8,virginica
+7.2,3.6,6.1,2.5,virginica
+6.5,3.2,5.1,2,virginica
+6.4,2.7,5.3,1.9,virginica
+6.8,3,5.5,2.1,virginica
+5.7,2.5,5,2,virginica
+5.8,2.8,5.1,2.4,virginica
+6.4,3.2,5.3,2.3,virginica
+6.5,3,5.5,1.8,virginica
+7.7,3.8,6.7,2.2,virginica
+7.7,2.6,6.9,2.3,virginica
+6,2.2,5,1.5,virginica
+6.9,3.2,5.7,2.3,virginica
+5.6,2.8,4.9,2,virginica
+7.7,2.8,6.7,2,virginica
+6.3,2.7,4.9,1.8,virginica
+6.7,3.3,5.7,2.1,virginica
+7.2,3.2,6,1.8,virginica
+6.2,2.8,4.8,1.8,virginica
+6.1,3,4.9,1.8,virginica
+6.4,2.8,5.6,2.1,virginica
+7.2,3,5.8,1.6,virginica
+7.4,2.8,6.1,1.9,virginica
+7.9,3.8,6.4,2,virginica
+6.4,2.8,5.6,2.2,virginica
+6.3,2.8,5.1,1.5,virginica
+6.1,2.6,5.6,1.4,virginica
+7.7,3,6.1,2.3,virginica
+6.3,3.4,5.6,2.4,virginica
+6.4,3.1,5.5,1.8,virginica
+6,3,4.8,1.8,virginica
+6.9,3.1,5.4,2.1,virginica
+6.7,3.1,5.6,2.4,virginica
+6.9,3.1,5.1,2.3,virginica
+5.8,2.7,5.1,1.9,virginica
+6.8,3.2,5.9,2.3,virginica
+6.7,3.3,5.7,2.5,virginica
+6.7,3,5.2,2.3,virginica
+6.3,2.5,5,1.9,virginica
+6.5,3,5.2,2,virginica
+6.2,3.4,5.4,2.3,virginica
+5.9,3,5.1,1.8,virginica
diff --git a/jamovi/0000.yaml b/jamovi/0000.yaml
index 89011250..51d67ccc 100644
--- a/jamovi/0000.yaml
+++ b/jamovi/0000.yaml
@@ -273,6 +273,19 @@ analyses:
     menuGroup: dev
     menuTitle: Results
     hidden: true
+datasets:
+  - name: 'Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)'
+    path: 'Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).csv'
+    description: A nice correlation data set
+  - name: Tooth Growth
+    path: Tooth Growth.csv
+    description: An uninspiring ANOVA data set
+  - name: 'Bugs (Ryan, Wilde & Crist, 2013)'
+    path: 'Bugs (Ryan, Wilde & Crist, 2013).csv'
+    description: A repeated measures ANOVA data set
+  - name: Anderson's Iris Data
+    path: iris.csv
+    description: The 'iris' data set from R
 usesNative: true
 minApp: 1.0.8
 
diff --git a/jamovi/ancova.a.yaml b/jamovi/ancova.a.yaml
index 0c1a849a..91587ccb 100644
--- a/jamovi/ancova.a.yaml
+++ b/jamovi/ancova.a.yaml
@@ -220,13 +220,20 @@ options:
               - name: type
                 type: List
                 options:
-                  - none
-                  - deviation
-                  - simple
-                  - difference
-                  - helmert
-                  - repeated
-                  - polynomial
+                  - name: none
+                    title: None
+                  - name: deviation
+                    title: Deviation
+                  - name: simple
+                    title: Simple
+                  - name: difference
+                    title: Difference
+                  - name: helmert
+                    title: Helmert
+                  - name: repeated
+                    title: Repeated
+                  - name: polynomial
+                    title: Polynomial
       description:
           ui: >
             the contrasts to use.
diff --git a/jamovi/anova.a.yaml b/jamovi/anova.a.yaml
index 8f52cd6b..352eee78 100644
--- a/jamovi/anova.a.yaml
+++ b/jamovi/anova.a.yaml
@@ -207,13 +207,20 @@ options:
           - name: type
             type: List
             options:
-              - none
-              - deviation
-              - simple
-              - difference
-              - helmert
-              - repeated
-              - polynomial
+              - name: none
+                title: None
+              - name: deviation
+                title: Deviation
+              - name: simple
+                title: Simple
+              - name: difference
+                title: Difference
+              - name: helmert
+                title: Helmert
+              - name: repeated
+                title: Repeated
+              - name: polynomial
+                title: Polynomial
       description:
           ui: >
             the contrasts to use.
diff --git a/jamovi/anovarm.a.yaml b/jamovi/anovarm.a.yaml
index 72b91f48..1bb9af94 100644
--- a/jamovi/anovarm.a.yaml
+++ b/jamovi/anovarm.a.yaml
@@ -294,13 +294,20 @@ options:
               - name: type
                 type: List
                 options:
-                  - none
-                  - deviation
-                  - simple
-                  - difference
-                  - helmert
-                  - repeated
-                  - polynomial
+                  - name: none
+                    title: None
+                  - name: deviation
+                    title: Deviation
+                  - name: simple
+                    title: Simple
+                  - name: difference
+                    title: Difference
+                  - name: helmert
+                    title: Helmert
+                  - name: repeated
+                    title: Repeated
+                  - name: polynomial
+                    title: Polynomial
       description:
           R: in development
 
diff --git a/jamovi/efa.a.yaml b/jamovi/efa.a.yaml
index cbd27aac..3fc74cd5 100644
--- a/jamovi/efa.a.yaml
+++ b/jamovi/efa.a.yaml
@@ -193,4 +193,29 @@ options:
       description:
           R: >
             `TRUE` or `FALSE` (default), show Bartlett's test of sphericity results
+
+    - name: factorScoresOV
+      title: Factor scores
+      type: Output
+
+    - name: factorScoreMethod
+      title: Estimation method
+      type: List
+      options:
+        - title: Thurstone
+          name: Thurstone
+        - title: Bartlett
+          name: Bartlett
+        - title: ten Berge
+          name: tenBerge
+        - title: Anderson & Rubin
+          name: Anderson
+        - title: Harman
+          name: Harman
+      default: Thurstone
+      description:
+          R: >
+            `'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`,
+            or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge',
+            'Anderson & Rubin', or 'Harman' method for estimating factor scores
 ...
diff --git a/jamovi/efa.u.yaml b/jamovi/efa.u.yaml
index 3f90c27b..5d570680 100644
--- a/jamovi/efa.u.yaml
+++ b/jamovi/efa.u.yaml
@@ -99,3 +99,18 @@ children:
                 type: CheckBox
               - name: screePlot
                 type: CheckBox
+  - type: CollapseBox
+    label: Save
+    collapsed: true
+    stretchFactor: 1
+    children:
+      - type: LayoutBox
+        margin: large
+        stretchFactor: 1
+        children:
+          - type: Output
+            name: factorScoresOV
+            children:
+              - type: ComboBox
+                name: factorScoreMethod
+                enable: (factorScoresOV)
diff --git a/jamovi/i18n/catalog.pot b/jamovi/i18n/catalog.pot
new file mode 100644
index 00000000..03a41a86
--- /dev/null
+++ b/jamovi/i18n/catalog.pot
@@ -0,0 +1,7943 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2021-07-29 16:59:59+01000\n"
+"Language: c\n"
+"Plural-Forms: nplurals=2; plural=(n != 1)\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "'{var}' contains negative values. Negative weights are not permitted."
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr ""
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr ""
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.notes.p
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr ""
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr ""
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr ""
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr ""
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr ""
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr ""
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr ""
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr ""
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr ""
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr ""
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr ""
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr ""
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr ""
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr ""
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr ""
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr ""
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr ""
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr ""
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr ""
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr ""
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr ""
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr ""
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr ""
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr ""
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr ""
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr ""
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr ""
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr ""
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr ""
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr ""
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr ""
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr ""
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr ""
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr ""
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr ""
+
+#: jamovi/js/linreg.events.js:4
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr ""
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr ""
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr ""
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr ""
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr ""
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr ""
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr ""
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr ""
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr ""
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr ""
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr ""
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr ""
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr ""
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Columns compared"
+msgstr ""
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr ""
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr ""
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr ""
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr ""
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr ""
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr ""
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr ""
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr ""
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr ""
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr ""
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr ""
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr ""
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr ""
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr ""
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr ""
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr ""
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr ""
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr ""
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr ""
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr ""
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr ""
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr ""
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr ""
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr ""
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr ""
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr ""
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr ""
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr ""
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr ""
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr ""
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr ""
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr ""
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr ""
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr ""
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr ""
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr ""
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr ""
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr ""
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr ""
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr ""
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr ""
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr ""
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr ""
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr ""
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr ""
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr ""
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr ""
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr ""
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr ""
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr ""
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr ""
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr ""
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr ""
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr ""
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr ""
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr ""
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr ""
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr ""
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr ""
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr ""
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr ""
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr ""
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr ""
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr ""
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr ""
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr ""
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr ""
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr ""
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr ""
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr ""
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr ""
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr ""
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr ""
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr ""
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr ""
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr ""
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr ""
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr ""
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr ""
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr ""
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr ""
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr ""
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr ""
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr ""
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr ""
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr ""
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr ""
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr ""
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr ""
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr ""
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr ""
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr ""
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr ""
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr ""
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr ""
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr ""
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr ""
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr ""
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr ""
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr ""
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr ""
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr ""
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr ""
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr ""
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr ""
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr ""
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr ""
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr ""
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr ""
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr ""
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr ""
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr ""
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr ""
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr ""
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr ""
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr ""
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr ""
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr ""
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr ""
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr ""
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr ""
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr ""
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr ""
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr ""
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr ""
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr ""
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr ""
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr ""
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr ""
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr ""
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr ""
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr ""
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr ""
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr ""
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr ""
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr ""
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr ""
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr ""
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr ""
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr ""
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr ""
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr ""
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr ""
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr ""
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr ""
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr ""
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr ""
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr ""
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr ""
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr ""
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr ""
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr ""
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr ""
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr ""
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr ""
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr ""
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr ""
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr ""
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr ""
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr ""
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr ""
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr ""
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr ""
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr ""
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr ""
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr ""
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr ""
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr ""
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr ""
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr ""
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr ""
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr ""
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr ""
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr ""
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr ""
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr ""
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr ""
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr ""
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr ""
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr ""
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr ""
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr ""
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr ""
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr ""
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr ""
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr ""
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr ""
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr ""
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr ""
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr ""
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr ""
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr ""
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr ""
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr ""
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr ""
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr ""
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr ""
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr ""
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr ""
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr ""
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr ""
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr ""
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr ""
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr ""
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr ""
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr ""
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr ""
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr ""
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr ""
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr ""
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr ""
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr ""
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr ""
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr ""
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr ""
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr ""
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr ""
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr ""
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr ""
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr ""
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr ""
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr ""
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr ""
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr ""
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr ""
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr ""
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr ""
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr ""
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr ""
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr ""
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr ""
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr ""
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr ""
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr ""
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr ""
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr ""
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr ""
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr ""
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr ""
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr ""
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr ""
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr ""
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr ""
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr ""
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr ""
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr ""
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr ""
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr ""
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr ""
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr ""
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr ""
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr ""
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr ""
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr ""
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr ""
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr ""
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr ""
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr ""
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr ""
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr ""
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr ""
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr ""
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr ""
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr ""
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr ""
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr ""
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr ""
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr ""
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr ""
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr ""
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr ""
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr ""
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr ""
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr ""
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr ""
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr ""
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr ""
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr ""
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr ""
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr ""
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr ""
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr ""
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr ""
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr ""
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr ""
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr ""
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr ""
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr ""
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr ""
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Rows compared"
+msgstr ""
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr ""
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr ""
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr ""
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr ""
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr ""
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr ""
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr ""
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr ""
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr ""
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr ""
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr ""
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr ""
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr ""
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr ""
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr ""
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr ""
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr ""
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr ""
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr ""
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr ""
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr ""
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr ""
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr ""
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr ""
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr ""
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr ""
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr ""
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr ""
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr ""
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr ""
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr ""
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr ""
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr ""
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr ""
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr ""
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr ""
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr ""
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr ""
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr ""
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr ""
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr ""
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr ""
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr ""
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr ""
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr ""
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr ""
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr ""
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr ""
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr ""
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr ""
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr ""
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr ""
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr ""
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr ""
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr ""
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr ""
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr ""
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr ""
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr ""
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr ""
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr ""
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr ""
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr ""
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr ""
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr ""
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr ""
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr ""
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr ""
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr ""
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr ""
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr ""
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr ""
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr ""
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr ""
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr ""
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr ""
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr ""
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Weighted by '{varName}'"
+msgstr ""
+
+#: linReg/options/weights.title
+msgid "Weights (optional)"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr ""
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr ""
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr ""
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr ""
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr ""
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr ""
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr ""
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr ""
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr ""
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr ""
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr ""
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr ""
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr ""
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr ""
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr ""
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr ""
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr ""
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr ""
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr ""
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr ""
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr ""
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr ""
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr ""
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr ""
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr ""
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr ""
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr ""
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr ""
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr ""
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr ""
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr ""
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr ""
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr ""
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr ""
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr ""
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr ""
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr ""
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr ""
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr ""
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr ""
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr ""
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr ""
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr ""
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr ""
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr ""
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr ""
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr ""
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr ""
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr ""
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr ""
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr ""
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr ""
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr ""
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr ""
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr ""
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr ""
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr ""
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr ""
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr ""
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr ""
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr ""
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr ""
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr ""
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr ""
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr ""
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr ""
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr ""
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr ""
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr ""
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr ""
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr ""
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr ""
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr ""
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr ""
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr ""
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr ""
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr ""
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr ""
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr ""
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr ""
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr ""
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr ""
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr ""
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr ""
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr ""
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr ""
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr ""
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr ""
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr ""
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr ""
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr ""
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr ""
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr ""
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr ""
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr ""
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr ""
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr ""
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr ""
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr ""
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr ""
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr ""
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr ""
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr ""
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr ""
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr ""
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr ""
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr ""
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr ""
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr ""
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr ""
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr ""
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr ""
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr ""
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr ""
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr ""
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr ""
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr ""
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr ""
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr ""
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr ""
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr ""
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr ""
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr ""
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr ""
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr ""
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr ""
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr ""
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr ""
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr ""
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr ""
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr ""
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr ""
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr ""
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr ""
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr ""
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr ""
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr ""
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr ""
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr ""
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr ""
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr ""
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr ""
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr ""
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr ""
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr ""
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr ""
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr ""
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr ""
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr ""
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr ""
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr ""
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr ""
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr ""
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr ""
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr ""
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr ""
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr ""
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr ""
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr ""
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr ""
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr ""
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr ""
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr ""
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr ""
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr ""
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr ""
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr ""
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr ""
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr ""
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr ""
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr ""
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr ""
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr ""
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr ""
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr ""
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr ""
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr ""
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr ""
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr ""
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr ""
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr ""
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr ""
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr ""
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr ""
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr ""
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr ""
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr ""
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr ""
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr ""
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr ""
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr ""
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr ""
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr ""
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr ""
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr ""
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr ""
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr ""
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr ""
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr ""
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr ""
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr ""
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr ""
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr ""
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr ""
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr ""
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr ""
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr ""
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr ""
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr ""
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr ""
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr ""
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr ""
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr ""
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr ""
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr ""
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr ""
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr ""
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr ""
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr ""
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr ""
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr ""
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr ""
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr ""
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr ""
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr ""
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr ""
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr ""
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr ""
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr ""
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr ""
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr ""
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr ""
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr ""
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr ""
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr ""
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr ""
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr ""
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr ""
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr ""
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr ""
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr ""
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr ""
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr ""
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr ""
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr ""
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr ""
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr ""
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr ""
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr ""
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr ""
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr ""
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr ""
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr ""
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr ""
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr ""
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr ""
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr ""
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr ""
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr ""
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr ""
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr ""
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr ""
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr ""
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr ""
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr ""
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr ""
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr ""
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "components"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr ""
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr ""
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr ""
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr ""
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr ""
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr ""
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr ""
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr ""
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr ""
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr ""
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr ""
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr ""
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr ""
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr ""
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr ""
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr ""
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr ""
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "factors"
+msgstr ""
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr ""
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr ""
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr ""
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr ""
+
+#: R/pca.b.R
+msgid "none"
+msgstr ""
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr ""
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr ""
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr ""
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr ""
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr ""
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr ""
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr ""
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr ""
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr ""
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr ""
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr ""
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr ""
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr ""
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr ""
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr ""
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr ""
+
+#: R/pca.b.R
+msgid "promax"
+msgstr ""
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr ""
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr ""
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr ""
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr ""
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr ""
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr ""
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr ""
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr ""
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr ""
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr ""
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr ""
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr ""
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr ""
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr ""
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr ""
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr ""
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr ""
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr ""
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr ""
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr ""
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr ""
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr ""
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr ""
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr ""
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr ""
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr ""
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr ""
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr ""
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr ""
+
+#: linReg/options/weights.description.R
+msgid "the (optional) weights from `data` to be used in the fitting process"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr ""
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr ""
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr ""
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr ""
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr ""
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr ""
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr ""
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr ""
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr ""
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr ""
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr ""
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr ""
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr ""
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr ""
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr ""
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr ""
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr ""
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr ""
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr ""
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr ""
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr ""
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr ""
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr ""
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr ""
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr ""
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr ""
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr ""
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr ""
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr ""
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr ""
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr ""
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr ""
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr ""
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr ""
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr ""
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr ""
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr ""
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr ""
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr ""
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr ""
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr ""
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr ""
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr ""
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr ""
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr ""
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr ""
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr ""
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr ""
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr ""
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr ""
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr ""
diff --git a/jamovi/i18n/en.po b/jamovi/i18n/en.po
new file mode 100644
index 00000000..cb1111af
--- /dev/null
+++ b/jamovi/i18n/en.po
@@ -0,0 +1,7943 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2021-07-29 16:59:59+01000\n"
+"Language: en\n"
+"Plural-Forms: nplurals=2; plural=(n != 1)\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "'{var}' contains negative values. Negative weights are not permitted."
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr ""
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr ""
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.notes.p
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr ""
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr ""
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr ""
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr ""
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr ""
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr ""
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr ""
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr ""
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr ""
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr ""
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr ""
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr ""
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr ""
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr ""
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr ""
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr ""
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr ""
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr ""
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr ""
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr ""
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr ""
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr ""
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr ""
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr ""
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr ""
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr ""
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr ""
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr ""
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr ""
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr ""
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr ""
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr ""
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr ""
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr ""
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr ""
+
+#: jamovi/js/linreg.events.js:4
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr ""
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr ""
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr ""
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr ""
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr ""
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr ""
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr ""
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr ""
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr ""
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr ""
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr ""
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr ""
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr ""
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Columns compared"
+msgstr ""
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr ""
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr ""
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr ""
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr ""
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr ""
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr ""
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr ""
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr ""
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr ""
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr ""
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr ""
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr ""
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr ""
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr ""
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr ""
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr ""
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr ""
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr ""
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr ""
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr ""
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr ""
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr ""
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr ""
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr ""
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr ""
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr ""
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr ""
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr ""
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr ""
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr ""
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr ""
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr ""
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr ""
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr ""
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr ""
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr ""
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr ""
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr ""
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr ""
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr ""
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr ""
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr ""
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr ""
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr ""
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr ""
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr ""
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr ""
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr ""
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr ""
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr ""
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr ""
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr ""
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr ""
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr ""
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr ""
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr ""
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr ""
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr ""
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr ""
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr ""
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr ""
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr ""
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr ""
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr ""
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr ""
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr ""
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr ""
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr ""
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr ""
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr ""
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr ""
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr ""
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr ""
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr ""
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr ""
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr ""
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr ""
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr ""
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr ""
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr ""
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr ""
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr ""
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr ""
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr ""
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr ""
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr ""
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr ""
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr ""
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr ""
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr ""
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr ""
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr ""
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr ""
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr ""
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr ""
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr ""
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr ""
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr ""
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr ""
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr ""
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr ""
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr ""
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr ""
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr ""
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr ""
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr ""
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr ""
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr ""
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr ""
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr ""
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr ""
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr ""
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr ""
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr ""
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr ""
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr ""
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr ""
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr ""
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr ""
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr ""
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr ""
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr ""
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr ""
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr ""
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr ""
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr ""
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr ""
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr ""
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr ""
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr ""
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr ""
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr ""
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr ""
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr ""
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr ""
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr ""
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr ""
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr ""
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr ""
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr ""
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr ""
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr ""
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr ""
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr ""
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr ""
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr ""
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr ""
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr ""
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr ""
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr ""
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr ""
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr ""
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr ""
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr ""
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr ""
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr ""
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr ""
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr ""
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr ""
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr ""
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr ""
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr ""
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr ""
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr ""
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr ""
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr ""
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr ""
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr ""
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr ""
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr ""
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr ""
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr ""
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr ""
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr ""
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr ""
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr ""
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr ""
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr ""
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr ""
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr ""
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr ""
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr ""
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr ""
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr ""
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr ""
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr ""
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr ""
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr ""
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr ""
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr ""
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr ""
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr ""
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr ""
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr ""
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr ""
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr ""
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr ""
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr ""
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr ""
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr ""
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr ""
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr ""
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr ""
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr ""
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr ""
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr ""
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr ""
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr ""
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr ""
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr ""
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr ""
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr ""
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr ""
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr ""
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr ""
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr ""
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr ""
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr ""
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr ""
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr ""
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr ""
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr ""
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr ""
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr ""
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr ""
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr ""
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr ""
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr ""
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr ""
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr ""
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr ""
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr ""
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr ""
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr ""
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr ""
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr ""
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr ""
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr ""
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr ""
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr ""
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr ""
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr ""
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr ""
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr ""
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr ""
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr ""
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr ""
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr ""
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr ""
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr ""
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr ""
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr ""
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr ""
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr ""
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr ""
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr ""
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr ""
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr ""
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr ""
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr ""
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr ""
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr ""
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr ""
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr ""
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr ""
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr ""
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr ""
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr ""
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr ""
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr ""
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr ""
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr ""
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr ""
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr ""
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr ""
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr ""
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr ""
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr ""
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr ""
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr ""
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr ""
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr ""
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr ""
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr ""
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr ""
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr ""
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr ""
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr ""
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr ""
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Rows compared"
+msgstr ""
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr ""
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr ""
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr ""
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr ""
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr ""
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr ""
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr ""
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr ""
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr ""
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr ""
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr ""
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr ""
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr ""
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr ""
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr ""
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr ""
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr ""
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr ""
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr ""
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr ""
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr ""
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr ""
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr ""
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr ""
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr ""
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr ""
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr ""
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr ""
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr ""
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr ""
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr ""
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr ""
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr ""
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr ""
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr ""
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr ""
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr ""
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr ""
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr ""
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr ""
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr ""
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr ""
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr ""
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr ""
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr ""
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr ""
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr ""
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr ""
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr ""
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr ""
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr ""
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr ""
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr ""
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr ""
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr ""
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr ""
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr ""
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr ""
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr ""
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr ""
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr ""
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr ""
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr ""
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr ""
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr ""
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr ""
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr ""
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr ""
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr ""
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr ""
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr ""
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr ""
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr ""
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr ""
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr ""
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr ""
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr ""
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Weighted by '{varName}'"
+msgstr ""
+
+#: linReg/options/weights.title
+msgid "Weights (optional)"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr ""
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr ""
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr ""
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr ""
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr ""
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr ""
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr ""
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr ""
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr ""
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr ""
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr ""
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr ""
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr ""
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr ""
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr ""
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr ""
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr ""
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr ""
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr ""
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr ""
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr ""
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr ""
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr ""
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr ""
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr ""
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr ""
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr ""
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr ""
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr ""
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr ""
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr ""
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr ""
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr ""
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr ""
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr ""
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr ""
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr ""
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr ""
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr ""
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr ""
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr ""
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr ""
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr ""
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr ""
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr ""
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr ""
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr ""
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr ""
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr ""
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr ""
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr ""
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr ""
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr ""
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr ""
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr ""
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr ""
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr ""
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr ""
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr ""
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr ""
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr ""
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr ""
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr ""
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr ""
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr ""
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr ""
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr ""
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr ""
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr ""
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr ""
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr ""
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr ""
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr ""
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr ""
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr ""
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr ""
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr ""
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr ""
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr ""
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr ""
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr ""
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr ""
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr ""
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr ""
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr ""
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr ""
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr ""
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr ""
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr ""
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr ""
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr ""
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr ""
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr ""
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr ""
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr ""
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr ""
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr ""
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr ""
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr ""
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr ""
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr ""
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr ""
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr ""
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr ""
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr ""
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr ""
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr ""
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr ""
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr ""
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr ""
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr ""
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr ""
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr ""
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr ""
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr ""
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr ""
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr ""
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr ""
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr ""
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr ""
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr ""
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr ""
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr ""
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr ""
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr ""
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr ""
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr ""
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr ""
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr ""
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr ""
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr ""
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr ""
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr ""
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr ""
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr ""
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr ""
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr ""
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr ""
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr ""
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr ""
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr ""
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr ""
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr ""
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr ""
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr ""
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr ""
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr ""
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr ""
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr ""
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr ""
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr ""
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr ""
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr ""
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr ""
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr ""
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr ""
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr ""
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr ""
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr ""
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr ""
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr ""
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr ""
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr ""
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr ""
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr ""
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr ""
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr ""
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr ""
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr ""
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr ""
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr ""
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr ""
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr ""
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr ""
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr ""
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr ""
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr ""
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr ""
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr ""
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr ""
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr ""
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr ""
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr ""
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr ""
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr ""
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr ""
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr ""
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr ""
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr ""
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr ""
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr ""
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr ""
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr ""
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr ""
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr ""
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr ""
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr ""
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr ""
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr ""
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr ""
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr ""
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr ""
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr ""
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr ""
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr ""
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr ""
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr ""
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr ""
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr ""
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr ""
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr ""
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr ""
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr ""
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr ""
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr ""
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr ""
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr ""
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr ""
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr ""
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr ""
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr ""
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr ""
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr ""
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr ""
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr ""
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr ""
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr ""
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr ""
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr ""
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr ""
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr ""
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr ""
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr ""
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr ""
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr ""
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr ""
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr ""
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr ""
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr ""
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr ""
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr ""
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr ""
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr ""
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr ""
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr ""
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr ""
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr ""
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr ""
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr ""
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr ""
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr ""
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr ""
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr ""
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr ""
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr ""
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr ""
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr ""
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr ""
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr ""
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr ""
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr ""
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr ""
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr ""
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr ""
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr ""
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr ""
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr ""
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "components"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr ""
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr ""
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr ""
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr ""
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr ""
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr ""
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr ""
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr ""
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr ""
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr ""
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr ""
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr ""
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr ""
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr ""
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr ""
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr ""
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr ""
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "factors"
+msgstr ""
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr ""
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr ""
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr ""
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr ""
+
+#: R/pca.b.R
+msgid "none"
+msgstr ""
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr ""
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr ""
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr ""
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr ""
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr ""
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr ""
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr ""
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr ""
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr ""
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr ""
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr ""
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr ""
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr ""
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr ""
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr ""
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr ""
+
+#: R/pca.b.R
+msgid "promax"
+msgstr ""
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr ""
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr ""
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr ""
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr ""
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr ""
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr ""
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr ""
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr ""
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr ""
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr ""
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr ""
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr ""
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr ""
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr ""
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr ""
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr ""
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr ""
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr ""
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr ""
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr ""
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr ""
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr ""
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr ""
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr ""
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr ""
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr ""
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr ""
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr ""
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr ""
+
+#: linReg/options/weights.description.R
+msgid "the (optional) weights from `data` to be used in the fitting process"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr ""
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr ""
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr ""
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr ""
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr ""
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr ""
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr ""
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr ""
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr ""
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr ""
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr ""
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr ""
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr ""
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr ""
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr ""
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr ""
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr ""
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr ""
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr ""
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr ""
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr ""
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr ""
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr ""
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr ""
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr ""
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr ""
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr ""
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr ""
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr ""
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr ""
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr ""
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr ""
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr ""
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr ""
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr ""
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr ""
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr ""
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr ""
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr ""
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr ""
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr ""
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr ""
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr ""
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr ""
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr ""
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr ""
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr ""
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr ""
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr ""
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr ""
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr ""
diff --git a/jamovi/i18n/es.po b/jamovi/i18n/es.po
new file mode 100644
index 00000000..ebacbea7
--- /dev/null
+++ b/jamovi/i18n/es.po
@@ -0,0 +1,8093 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2021-07-29 16:59:59+01000\n"
+"Language: es\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr "%"
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr "% Correcto"
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr "% del Total"
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr "% de la Varianza"
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr "% del total"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr "% de columna"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr "% de fila"
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr "‘{col}’ contiene valores infinito"
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr "‘{col}’ contiene valores perdidos"
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr "‘{col}’ solo contiene valores perdidos"
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr "‘{col}’ solo contiene un valor único"
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr "El método de extracción ‘{method}’ se usó en combinación con una rotación ‘{rotation}’"
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr "Se utilizó la rotación ‘{rotation}’"
+
+#: R/linreg.b.R
+msgid "'{var}' contains negative values. Negative weights are not permitted."
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr "* p < .05, ** p < .01, *** p < .001, a una cola"
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr "1"
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr "1 - Especificidad"
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr "2 Resultados"
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr "25,50,75"
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr "< Valor de prueba"
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr "> Valor de prueba"
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr "Un valor p bajo sugiere una violación del supuesto de varianzas iguales"
+
+#: anovaOneW/results/assump/norm.notes.p
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr "Un valor p bajo sugiere una violación del supuesto de normalidad"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr "Unos buenos datos para correlación"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr "Unos datos para ANOVA de medidas repetidas"
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr "AIC"
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr "ANCOVA"
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr "ANOVA"
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr "Prueba ANOVA"
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr "AUC"
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr "Precisión"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr "Añadir Nuevo Bloque"
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr "Añadir Nuevo Factor"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr "Añadir Nuevo Término"
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr "Opciones Adicionales"
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr "Resultados Adicionales"
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr "Estadísticas Adicionales"
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr "R² Adjustada"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr "Todas las observaciones están repetidas"
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr "Hipótesis alternativa"
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr "Unos datos para ANOVA"
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr "Análisis incluidos con jamovi"
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr "Datos Iris de Anderson"
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr "Como no hay factores entre sujetos especificados, este supuesto siempre se cumple."
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr "Asumir iguales (Fisher)"
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr "Comprobaciones de Supuestos"
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr "Supuestos"
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr "Al menos una variable debe tener dos niveles"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr "Autocorrelación"
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr "Prueba de autocorrelación"
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr "Disponible solo para tablas 2x2"
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr "BIC"
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr "Gráfico de Barras"
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr "Gráficos de Barras"
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr "Tipo de Barras"
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr "Gráfico de barras"
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr ""
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr "Prueba de Esfericidad de Bartlett"
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr "Prueba de esfericidad de Bartlett"
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr "Basado en valor propio"
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr "Basado en análisis paralelo"
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr "Factor de Bayes"
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr "Factor de Bayes₁₀"
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr "Estadísticas Bayesianas"
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr "Factores Entre Sujetos"
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr "Componentes Entre Sujetos"
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr "Efectos Entre Sujetos"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr "Binomial"
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr "Regresión Logística Binomial"
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr "Prueba Binomial"
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr "Prueba binomial"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr "Bloque 1"
+
+#: jamovi/js/linreg.events.js:4
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr "Bloque {0}"
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr "Bloques"
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr "Bonferroni"
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr "Diagramas de Cajas"
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr "Diagrama de caja"
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr "Prueba de Box para Homogeneidad de Matrices de Covarianza"
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr "Prueba M de Box"
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr "Prueba M de Box para homogeneidad de matrices de covarianza"
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr "Prueba Box-Tidwell para la Linealidad del Logit"
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr "Prueba Box-Tidwell"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr "Bugs (Ryan, Wilde & Crist, 2013)"
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr "CFI"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr "IC Inferior"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr "IC Superior"
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr "Celdas"
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr "Tendencia Central"
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr "Cuantiles de Ji-cuadrado"
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr "Tabla de Clasificación"
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr "Tabla de Clasificación – {dep}"
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr "Tabla de clasificación"
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr "d de Cohen"
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr "Estadísticas de Colinealidad"
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr "Estadísticas de colinealidad"
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr "Columna"
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr "La columna ‘{name}’ contiene niveles no utilizados (solo es posible cuando se excluyen las filas con valores perdidos)"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr "La variable de columna ‘{var}’ contiene menos de 2 niveles"
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr "Columnas"
+
+#: R/conttables.b.R
+msgid "Columns compared"
+msgstr ""
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr "Medidas Comparativas"
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr "Medidas Comparativas (solo 2x2)"
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr "Comparar"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr "Comparación"
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr "Las comparaciones se basan en medias marginales estimadas"
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr "Componente"
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr "Cargas de los Componentes"
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr "Estadísticas de los Componentes"
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr "Correlaciones de los componentes"
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr "Puntuaciones de los componentes"
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr "Resumen de los componentes"
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr "Componentes"
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr "Intervalo de Confianza"
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr "Intervalos de Confianza"
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr "Intervalo de confianza"
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr "Intervalo de confianza para la Media"
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr "Amplitud del intervalo de confianza"
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr "Intervalos de confianza"
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr "Nivel de confianza"
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr "Análisis Factorial Confirmatorio"
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr "Restricciones"
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr "Tablas de Contingencia"
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr "Coeficiente de contingencia"
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr "Contrastes"
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr "Contrastes - $key"
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr "Variables de Control"
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr "Variables de control"
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr "Distancia de Cook"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr "Distancia de Cook"
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr "Corrección"
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr "Correcciones"
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr "Correlacionada"
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr "Correlación negativa"
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr "Correlación positiva"
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr "Correlación"
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr "Coeficientes de Correlación"
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr "Mapa de calor de Correlación"
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr "Matriz de Correlaciones"
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr "Tipo de Correlación"
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr "Mapa de calor de la correlación"
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr "Las matrices de correlación son una forma de examinar las relaciones\n"
+"lineales entre dos o más variables continuas."
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "Las matrices de correlación son una forma de examinar las relaciones\n"
+"lineales entre dos o más variables continuas.\n"
+"\n"
+"Para cada par de variables, el valor r de Pearson indica la fuerza\n"
+"y dirección de la relación entre esas dos variables. Un valor positivo\n"
+"indica una relación positiva (valores más altos de una variable predicen\n"
+"valores más altos de la otra variable). Un valor negativo de la r de Pearson\n"
+"indica una relación negativa (valores más altos de una variable predicen\n"
+"valores más bajos de la otra variable, y viceversa).\n"
+"Un valor de cero indica que no hay relación (si una variable es alta\n"
+"o baja, no nos dice nada sobre el valor de la otra variable).\n"
+"\n"
+"Más formalmente, es posible probar la hipótesis nula de que la\n"
+"la correlación es cero y calcular un valor p. Si el valor p es bajo,\n"
+"sugiere que el coeficiente de correlación no es cero, y hay una relación\n"
+"lineal (o más compleja) entre las dos variables."
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr "Matriz de correlaciones"
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr "Tipo de correlación"
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr "Frecuencia"
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr "Frecuencias"
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr "Frecuencias (opcional)"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr "Las frecuencias no pueden ser infinitas"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr "Las frecuencias no pueden ser negativas"
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr "Las frecuencias deben ser no negativas y finitas"
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr "Covariables"
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr "R² de Cox y Snell"
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr "V de Cramer"
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr "Intervalo de Credibilidad"
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr "Intervalos de Credibilidad"
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr "α de Cronbach"
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr "α de Cronbach (si se elimina un elemento)"
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr "% Acumulado"
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr "Puntos de corte"
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr "Puntos de corte para"
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr "Punto de Corte"
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr "Gráfica de Punto de Corte"
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr "Gráfica de punto de corte"
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr "Punto de corte"
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr "Comparaciones dos a dos DSCF"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr "Estadístico DW"
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr "Datos"
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr "Reducción de Datos"
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr "Resumen de Datos"
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr "Densidad para las variables"
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr "Densidad"
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr "Dependiente"
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr "Variable Dependiente"
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr "Etiqueta de la Variable Dependiente"
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr "Variables Dependientes"
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr "La variable dependiente debe ser numérica"
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr "Gráfica Descriptiva"
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr "Gráfica descriptiva"
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr "Descriptivas"
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr "Gráficas Descriptivas"
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr "Tabla de Descriptivas"
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr "Las descriptivas son una variedad de resúmenes de estadísticos y visualizaciones que permiten explorar la forma y distribución de los datos. Es una buena práctica explorar sus datos con descriptivas antes de pasar a realizar pruebas más formales."
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr "Gráficas descriptivas"
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr "Tabla de descriptivas"
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr "Desvianza"
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr "Desviación"
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr "Diferencia"
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr "Diferencia entre 2 proporciones"
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr "Diferencia de proporciones"
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr "Dispersión"
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr "Distribución"
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr "No asumir iguales (Welch)"
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr "Prueba Durbin-Watson de Autocorrelación"
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr "Comparaciones dos a dos Dwass-Steel-Critchlow-Fligner"
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr "Tamaño del Efecto"
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr "Tamaño del efecto"
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr "Valor Propio"
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr "Valores Propios"
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr "Valores Propios mayores a"
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr "Celdas con pesos iguales"
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr "Barras de error"
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr "Estimador"
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr "Estimador (Log Razón de Odds)"
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr "Estimador (Log Razón de Tasas)"
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr "Medias Marginales Estimadas"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr "Medias Marginales Estimadas - {term}"
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr "Estimadores"
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr "Los estimadores representan el log odds de  …"
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr "Excluir casos según el análisis"
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr "Excluir casos según la lista de variables"
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr "Excluido"
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr "Esperado"
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr "Proporciones Esperadas"
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr "Frecuencias esperadas"
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr "Exploración"
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr "Análisis Factorial Exploratorio"
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr "Extracción"
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr "F"
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr "Prueba F"
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr "El estadístico F no se pudo calcular"
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr "Factor"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr "El factor ‘{factorName}’ no contiene datos"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr "El factor ‘{factorName}’ solo tiene un nivel"
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr "El factor ‘{factor}’ requiere al menos 2 niveles"
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr "Factor 1"
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr "Covarianzas de los Factores"
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr "Estimadores de los Factores"
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr "Constantes de los Factores"
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr "Cargas de los Factores"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr "Cargas de los Factores - Indices de Modificación"
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr "Estadísticas de los Factores"
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr "Correlaciones de los factores"
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr "Covarianzas de los factores"
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr "Constantes de los factores"
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr "Puntuaciones de los factores"
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr "Resumen de los factores"
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr "Varianzas de Factor = 1"
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr "Factor {0}"
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr "Factores"
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr "Fisher"
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr "Test exacto de Fisher"
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr "Medidas de Ajuste"
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr "Ajustados"
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr "Factores Fijos"
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr "Número fijo"
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr "Marcar comparaciones significativas"
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr "Marcar correlaciones significativas"
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr "Frecuencias"
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr "Frequencias de $key"
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr "Tabla de frecuencias"
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr "Friedman"
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr "Máxima verosimilitud información completa"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr "Games-Howell (varianzas diferentes)"
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr "Prueba Post-Hoc de Games-Howell – {dep}"
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr "Gamma"
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr "Opciones Generales"
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr "η² Generalizada"
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr "Media global (codificación simple)"
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr "Greenhouse-Geisser"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr "ε de Greenhouse-Geisser"
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr "Grupo"
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr "Grupo 1"
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr "Grupo 1 < Grupo 2"
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr "Grupo 1 > Grupo 2"
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr "Grupo 1 ≠ Grupo 2"
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr "Grupo 2"
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr "Descriptivas de Grupo"
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr "Resumen de Grupo"
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr "Resumen de grupo"
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr "Variable de Agrupación"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr "La variable de agrupación ‘{a}’ tiene menos de 2 niveles tras excluir valores perdidos"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr "La variable de agrupación ‘{a}’ debe tener exactamente 2 niveles"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr "La variable de agrupación ‘{a}’ no puede ser también la variable dependiente"
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr "Se aplicó la corrección Haldane-Anscombe"
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr "Helmert"
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr "Oculta los pesos menores a"
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr "Resalta los pesos mayores a"
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr "Histograma"
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr "Histogramas"
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr "Holm"
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr "Prueba de Levene para homogeneidad de varianzas"
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr "Prueba de homogeneidad"
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr "Traza de Hotelling"
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr "Huynh-Feldt"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr "ε de Huynh-Feldt"
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr "Hipótesis"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr "Hₐ es correlación negativa"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr "Hₐ es correlación positiva"
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr "Hₐ es proporción {direction} {testValue}"
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr "RIC"
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr "Muestras Independientes"
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr "Prueba T para Muestras Independientes"
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr "Indicador"
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr "Valores Propios Iniciales"
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr "Valores propios iniciales"
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr "Correlaciones Entre Componentes"
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr "Correlaciones Entre Factores"
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr "Constante"
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr "Intervalo"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr "El elemento ‘{item}’ solo tiene un valor"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr "El elemento ‘{item}’ tiene infinitos valores"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr "El elemento ‘{item}’ solo tiene valores perdidos"
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr "El elemento ‘{item}’ no tiene varianza"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr "El elemento ‘{item}’ debe ser numérico"
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr "Estadísticas de Fiabilidad de Elemento"
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr "Estadísticas del Elemento"
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr "Correlación del elemento con otros"
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr "Elementos"
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr "Repartidos"
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr "Medida de Idoneidad del Muestreo KMO"
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr "Medida de idoneidad del muestreo KMO"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr "Tau B de Kendall"
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr "Tau B de Kendall"
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr "Tau b de Kendall"
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr "Tau b de Kendall"
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr "Kruskal-Wallis"
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr "Curtosis"
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr "Capas"
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr "Nivel"
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr "Nivel 1"
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr "Nivel 2"
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr "Niveles"
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr "La prueba de Levene significativa (p < 0.05) sugiere que las varianzas no son iguales"
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr "Verosimilitud"
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr "Razón de Verosimilitud"
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr "Prueba de la Razón de Verosimilitudes"
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr "Regresión Lineal"
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr "La regresión lineal se utiliza para explorar la relación entre una variable dependiente continua y una o más variables explicativas continuas y/o categóricas. Otros métodos estadísticos, como ANOVA y ANCOVA, no son más que formas de regresión lineal."
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr "Log razón de odds"
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr "Log razón de odds exacto"
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr "Regresión Log-Lineal"
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr "Regresión Logística"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr "Inferior"
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr "MANCOVA"
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr "MSA"
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr "U de Mann-Whitney"
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr "Mantel-Haenszel"
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr "Prueba de Tendencia de Mantel-Haenszel"
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr "Media Maginal"
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr "Medias Maginales"
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr "Gráfica de medias maginales"
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr "Tabla de medias maginales"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr "W de Mauchly"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr "Max"
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr "Máximo"
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr "Máxima verosimilitud"
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr "ω de McDonald"
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr "ω de McDonald (si se elimina el elemento)"
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr "R² de McFadden"
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr "Prueba de McNemar"
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr "McNemar requiere una tabla 2x2"
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr "Prueba de McNemar"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr "Media"
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr "Media (IC {ciWidth}%)"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr "Diferencia de Medias"
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr "Dispersión de Medias"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr "Media Cuadrática"
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr "Diferencia de medias"
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr "Puntuación media"
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr "Medias"
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr "Medida"
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr "Medida 1 - Medida 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr "Medida 1 < Medida 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr "Medida 1 > Medida 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr "Medida 1 ≠ Medida 2"
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr "Medidas"
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr "Mediana"
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr "Medianas"
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr "Método"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr "Min"
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr "Mínimo"
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr "Residuo mínimo"
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr "Residuos mínimos"
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr "Valor mínimo"
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr "Perdidos"
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr "Valores Perdidos"
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr "Método de Valores Perdidos"
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr "Valores Perdidos"
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr "Método para excluir valores perdidos"
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr "Moda"
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr "Modelo"
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr "Constructor del Modelo"
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr "Coeficientes del Modelo"
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr "Comparación de Modelos"
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr "Ajuste del Modelo"
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr "Medidas de Ajuste del Modelo"
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr "Resultados Específicos del Modelo"
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr "Elementos del Modelo"
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr "Prueba del Modelo"
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr "Umbrales del Modelo"
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr "Medidas de ajuste del modelo"
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr "Umbrales del modelo"
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr "Índices de Modificación"
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr "Índices de modificación"
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr "Existe más de una moda, solo se reporta la primera"
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr "Multinomial"
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr "Regresión Logística Multinomial"
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr "El análisis multivariado de la (co)varianza (MANCOVA) se utiliza para explorar la relación entre múltiples variables dependientes y una o más variables explicativas categóricas y/o continuas."
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr "Estadísticas Multivariadas"
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr "Pruebas Multivariadas"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr "N"
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr "N Resultados"
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr "R² de Nagelkerke"
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr "No hay componentes con valores propios mayores a {value}"
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr "Sin corrección"
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr "No se definieron factores. La prueba M de Box solo tiene sentido cuando el modelo contiene factores."
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr "Nominal"
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr "No Paramétrico"
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr "Ninguno"
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr "Elementos en Escala Normal"
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr "Normalidad"
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr "Prueba de Normalidad (Shapiro-Wilk)"
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr "Prueba de Normalidad"
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr "Número de Componentes"
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr "Número de Factores"
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr "Número de componentes"
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr "Número de factores"
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr "Oblimin"
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr "Observado"
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr "Frecuencias observadas"
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr "Puntuaciones observadas"
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr "Razón de Odds"
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr "Razón de odds"
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr "Prueba Omnibus ANOVA"
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr "Prueba Omnibus de Razón de Verosimilitud"
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr "Prueba Omnibus"
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr "Pruebas Omnibus"
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr "Prueba para la Proporción en Una Muestra"
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr "Prueba T en Una Muestra"
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr "Uno o ambos grupos no contienen suficientes observaciones"
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr "Una o ambas variables no son numéricas"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr "Una o ambas variables contienen valores infinitos"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr "Una o ambas variables no contienen observaciones"
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr "Una o ambas variables no contienen suficientes observaciones"
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr "Uno o más coeficientes en el modelo ‘{modelNo}’ no se pudieron estimar debido a la perfecta colinealidad."
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr "ANOVA de Un Factor"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr "ANOVA de Un Factor (Fisher)"
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr "ANOVA de Un Factor (No paramédico)"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr "ANOVA de Un Factor (Welch)"
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr "Opciones"
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr "Ordinal"
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr "Regresión Logística Ordinal"
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr "Resultados Ordinales"
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr "Resultado"
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr "Global"
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr "Prueba Global del Modelo"
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr "Modelo global"
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr "Prueba del modelo global"
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr "Muestras Apareadas"
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr "Tablas de Contingencia para Muestras Apareadas"
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr "Prueba T para Muestras Apareadas"
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr "Variables Apareadas"
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr "Comparaciones Entre Parejas (Durbin-Conover)"
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr "Comparaciones entre parejas (Durbin-Conover)"
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr "Comparaciones entre parejas - $key"
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr "Parcial"
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr "Correlación Parcial"
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr "Las matrices de correlación parcial son una forma de examinar las\n"
+"relaciones lineales entre dos o más variables continuas mientras\n"
+"se controla por otras variables"
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "Las matrices de correlación parcial son una forma de examinar las\n"
+"relaciones lineales entre dos o más variables continuas mientras\n"
+"se controla por otras variables.\n"
+"\n"
+"Para cada par de variables, el valor r de Pearson indica la fuerza\n"
+"y dirección de la relación entre esas dos variables. Un valor positivo\n"
+"indica una relación positiva (valores más altos de una\n"
+"variable predicen valores más altos de la otra variable). Un valor\n"
+"negativo de la r de Pearson indica una relación negativa (valores\n"
+"más altos de una variable predicen valores más bajos de la otra\n"
+"variable, y viceversa). Un valor de cero indica que no hay relación\n"
+"(si una variable es alta o baja, no nos dice nada sobre el valor de la otra\n"
+"variable).\n"
+"\n"
+"Más formalmente, es posible probar la hipótesis nula de que la\n"
+"la correlación es cero y calcular un valor p. Si el valor p es bajo,\n"
+"sugiere que el coeficiente de correlación no es cero, y hay una relación lineal\n"
+"(o más compleja) entre las dos variables."
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr "η² parcial"
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr "Diagrama de Flujo"
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr "Diagrama de flujo"
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr "Pearson"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr "R de Pearson"
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr "Correlación{}Pearson"
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr "Porcentajes"
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr "Porcentajes del total"
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr "Porcentajes de {var}"
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr "Percentil"
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr "Valores del Percentil"
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr "Valores del percentil"
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr "Percentiles"
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr "Phi y V de Cramer"
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr "Coeficiente Phi"
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr "Traza de Pillai"
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr "Gráfica"
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr "Tipo de Gráfica"
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr "Gráficas"
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr "Polinomial"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr "Comparaciones Post Hoc - {term}"
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr "Pruebas Post Hoc"
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr "Pruebas Post Hoc -$key"
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr "Rendimiento del Modelo Post-Hoc"
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr "Prueba Post-Hoc"
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr "Pruebas Post-Hoc"
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr "A Posteriori"
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr "Gráficas a Posteriori"
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr "Gráfica a Posteriori"
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr "Predicción"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr "Probabilidad prevista de {dep} = {level1} (vs {dep} = {level2})"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr "Probabilidad prevista de… =… (vs… =…)"
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr "Predicciones"
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr "Predicción"
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr "Medidas Predictivas"
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr "Predictor"
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr "Predictores"
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr "Análisis de Componentes Principales"
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr "Eje principal"
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr "Factorización según el eje principal"
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr "Valores a Priori"
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr "Amplitud a priori"
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr "Probabilidad"
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr "Promax"
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr "Proporción"
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr "Prueba de Proporciones (2 Resultados)"
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr "Prueba de Proporciones (N Resultados)"
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr "Pseudo R²"
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr "Q-Q"
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr "Gráfica Q-Q"
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr "Gráfica Q-Q para Evaluar Normalidad Multivariante"
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr "Gráficas Q-Q"
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr "Gráfica Q-Q"
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr "Gráfica Q-Q de Normalidad Multivariante"
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr "Gráfica Q-Q de residuos"
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr "Gráficas Q-Q"
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr "Quartimax"
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr "R"
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr "MR Factor 1"
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr "MR Factor {0}"
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr "RMSE"
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr "RMSEA"
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr "IC 90% del RMSE"
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr "ROC"
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr "Curva ROC"
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr "Curva ROC"
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr "Recorrido"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr "Correlación biseriada de rangos"
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr "Razón de Tasas"
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr "Razón de tasas"
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr "Razón"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr "Nivel de Referencia"
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr "Niveles de Referencia"
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr "Nivel de referencia (codificación indicadora)"
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr "Regresión"
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr "Riesgo relativo"
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr "Análisis de Fiabilidad"
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr "Repetidas"
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr "ANOVA de Medidas Repetidas"
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr "ANOVA de Medidas Repetidas (No Paramédico)"
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr "Celdas de Medidas Repetidas"
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr "Componentes de Medidas Repetidas"
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr "Factores de Medidas Repetidas"
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr "Mostrar significación"
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr "Representa la media global"
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr "Representa el nivel de referencia"
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr "Residual"
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr "Covarianzas Residuales"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr "Covarianzas Residuales - Índices de Modificación"
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr "Estimadores Residuales"
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr "Constantes Residuales"
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr "Covarianzas residuales"
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr "Constantes residuales"
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr "Gráficas de residuos"
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr "La suma de cuadrados residuales y/o lo grados de libertad son cero, lo que indica un ajuste perfecto"
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr "Residuos"
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr "Gráficas de Residuos"
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr "Residuos de la Matriz de Correlaciones Observada"
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr "Residuos del ANOVA"
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr "Residuos de la matriz de correlación observada"
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr "Resultados"
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr "Elementos en Escala Inversa"
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr "Rotación"
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr "Fila"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr "La variable en filas ‘{var}’ tiene menos de 2 niveles"
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr "Filas"
+
+#: R/conttables.b.R
+msgid "Rows compared"
+msgstr ""
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr "Raiz Mayor de Roy"
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr "R²"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr "R²<sub>CS</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr "R²<sub>McF</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr "R²<sub>N</sub>"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr "DE"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr "EE"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr "EE de la diferencia"
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr "SRMR"
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr "SC Cargas"
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr "Tamaño de Muestra"
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr "Guardar"
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr "Análisis de Escala"
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr "Estadísticas de Fiabilidad de Escala"
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr "Estadísticas de Escala"
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr "Factor de escala = primer indicador de escala"
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr "Scheffe"
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr "Puntuación del Componente"
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr "Puntuación del Componente"
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr ""
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr "Gráfica de Sedimentación"
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr "Gráfica de sedimentación"
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr "Semiparcial"
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr "Correlación Semiparcial"
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr "Sensibilidad"
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr "Shapiro-Wilk"
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr "Prueba de Normalidad Multivariante de Shapiro-Wilk"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr "W de Shapiro-Wilk"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr "Valor p de Shapiro-Wilk"
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr "Prueba Shapiro-Wilk"
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr "Prueba de normalidad multivariante de Shapiro-Wilk"
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr "Al lado"
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr "Simple"
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr "Simplimax"
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr "Simulaciones"
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr "Se encontró un ajuste singular; una o más variables predictoras son una combinación lineal de otras variables predictoras."
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr "Error de singularidad. Las pruebas de esfericidad no están disponibles"
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr "Asimetría"
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr "Ordena las cargas por tamaño"
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr "Spearman"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr "Rho de Spearman"
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr "Especificidad"
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr "Corrección de Esfericidad"
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr "Correcciones de esfericidad"
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr "Pruebas de esfericidad"
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr "Separa por"
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr "Distancia de Mahalanobis al Cuadrado"
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr "Alineados"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr "Estimador Estándar"
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr "Error Estándar"
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr "Desviación estándar"
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr "Error estándar"
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr "Estimador Estandarizado"
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr "Residuos Estandarizados"
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr "Estimador estandarizado"
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr "Estadístico"
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr "Estadísticas"
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr "Desv. Estándar"
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr "Error est. curtosis"
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr "Error est. media"
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr "Error est. de la Media"
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr "Error est. asimetría"
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr "t de Student"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr "T de Student"
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr "Prueba t de Student"
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr "Suma"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr "Suma de Cuadrados"
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr "Suma de cuadrados"
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr "Suma de puntuación"
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr "Resumen"
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr "Pruebas T"
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr "TLI"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr "Término 1"
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr "Término {0}"
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr "ºPrueba"
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr "Prueba Para un Ajuste Exacto"
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr "Resultados de la prueba (t y gl)"
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr "Estadísticas de la prueba"
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr "Valor de prueba"
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr "Pruebas"
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr "Pruebas de Esfericidad"
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr "Los datos ‘iris’ de R"
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr "La variable ‘Separa por ’{var}’ no contiene datos."
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr "El Análisis de la Covarianza (ANCOVA) se utiliza para explorar la relación\n"
+"entre una variable dependiente continua, una o más variables explicativas\n"
+"categóricas y una o más variables explicativas continuas\n"
+"(o covariables). Es esencialmente el mismo análisis que ANOVA, pero\n"
+"con la adición de covariables."
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr "El Análisis de la Varianza (ANOVA) se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más variables\n"
+"explicativas categóricas."
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr "El Análisis de la Varianza (ANOVA) se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más variables\n"
+"explicativas categóricas.\n"
+"\n"
+"ANOVA asume que los residuos se distribuyen normalmente y que las\n"
+"varianzas de todos los grupos son iguales. Si uno no está dispuesto a asumir que\n"
+"las varianzas son iguales, entonces se puede usar una prueba de Welch en su lugar\n"
+"(Sin embargo, la prueba de Welch no admite más de un factor explicativo).\n"
+"Alternativamente, si uno no está dispuesto a asumir que los datos se\n"
+"distribuyen normalmente, se puede emplear un enfoque no paramétrico\n"
+"(como Kruskal-Wallis)."
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr "El Análisis de Varianza (ANOVA) se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más variables explicativas\n"
+"categóricas. Este ‘ANOVA de un factor’ es una versión simplificada de\n"
+"el ANOVA ‘normal’, que permite un solo factor explicativo, sin embargo\n"
+"también proporciona un ANOVA de Welch. El ANOVA de Welch tiene la ventaja de que\n"
+"no es necesario suponer que las varianzas de todos los grupos son iguales."
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr "El análisis de varianza (ANOVA) se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más categóricas\n"
+"variables explicativas. Este 'ANOVA unidireccional' es una versión simplificada de\n"
+"el ANOVA 'normal', que permite un solo factor explicativo, sin embargo\n"
+"también proporciona un ANOVA de Welch. El ANOVA de Welch tiene la ventaja de que\n"
+"no es necesario asumir que las variaciones de todos los grupos son iguales.\n"
+"\n"
+"Por conveniencia, este método permite especificar varios dependientes\n"
+"variables, lo que da como resultado múltiples pruebas independientes.\n"
+"\n"
+"Tenga en cuenta que el ANOVA de Welch es el mismo procedimiento que\n"
+"la prueba t de Welch de muestras independientes."
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr "La prueba binomial se usa para probar la hipótesis nula de que la proporción de observaciones coincide con algún valor esperado. Si el valor p es bajo, esto sugiere que la hipótesis nula es falsa y que la proporción verdadera debe ser algún otro valor."
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "La prueba de Friedman se utiliza para explorar la relación entre una variable dependiente continua y una variable explicativa categórica, donde la variable explicativa es 'dentro de los sujetos' (donde múltiples mediciones son del mismo sujeto). Es análogo al ANOVA de medidas repetidas, pero con la ventaja de ser no paramétrico, y no requerir los supuestos de normalidad u homogeneidad de varianzas. Sin embargo, tiene la limitación de que solo puede probar una sola variable explicativa a la vez."
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "La prueba de Kruskal-Wallis se utiliza para explorar la relación entre una variable dependiente continua y una variable explicativa categórica. Es análoga al ANOVA, pero con la ventaja de no ser paramétrica y tener menos supuestos. Sin embargo, tiene la limitación de que solo puede probar una única variable explicativa a la vez."
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr "El ANOVA de medidas repetidas se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más categóricas\n"
+"variables explicativas, donde una o más de las variables explicativas\n"
+"están 'dentro de los sujetos' (donde varias medidas son de la misma\n"
+"sujeto). Además, este análisis permite la inclusión de\n"
+"covariables, lo que permite también ANCOVA de medidas repetidas."
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr "El ANOVA de medidas repetidas se utiliza para explorar la relación\n"
+"entre una variable dependiente continua y una o más categóricas\n"
+"variables explicativas, donde una o más de las variables explicativas\n"
+"están 'dentro de los sujetos' (donde varias medidas son de la misma\n"
+"sujeto). Además, este análisis permite la inclusión de\n"
+"covariables, lo que también permite ANCOVA de medidas repetidas.\n"
+"\n"
+"Este análisis requiere que los datos estén en 'formato amplio', donde cada\n"
+"la fila representa un asunto (a diferencia del formato largo, donde cada\n"
+"la medida de la variable dependiente se representa como una fila).\n"
+"\n"
+"También existe un equivalente no paramétrico del ANOVA de medidas repetidas;\n"
+"la prueba de Friedman. Sin embargo, tiene la limitación de que solo puede\n"
+"p\n"
+"probar un factor."
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr "La prueba t de muestras independientes de Student (a veces denominada dos muestras\n"
+"t-test) se utiliza para probar la hipótesis nula de que dos grupos tienen el\n"
+"misma media. Un valor p bajo sugiere que la hipótesis nula no es cierta,\n"
+"y por tanto las medias del grupo son diferentes."
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr "La prueba t de muestras independientes de Student (a veces denominada dos muestras\n"
+"t-test) se utiliza para probar la hipótesis nula de que dos grupos tienen el\n"
+"misma media. Un valor p bajo sugiere que la hipótesis nula no es cierta,\n"
+"y por lo tanto las medias del grupo son diferentes.\n"
+"\n"
+"La prueba t independiente de Student asume que los datos de cada grupo\n"
+"son de una distribución normal, y que las variaciones de estos grupos\n"
+"son iguales. Si no está dispuesto a asumir que los grupos tienen variaciones iguales, el\n"
+"La prueba t de Welch se puede usar en su lugar. Si hay una adicional\n"
+"no está dispuesto a asumir que los datos de cada grupo son de un\n"
+" normaldistribución, en su lugar se puede utilizar la prueba U de Mann-Whitney no paramétrica\n"
+"(Sin embargo, tenga en cuenta que la prueba U de Mann-Whitney tiene una\n"
+"hipótesis nula; que las distribuciones de cada grupo es igual)."
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr "La prueba t de Student para una muestra se utiliza para probar la hipótesis nula de que\n"
+"la media real es igual a un valor particular (normalmente cero). Un bajo\n"
+"El valor p sugiere que la hipótesis nula no es cierta y, por lo tanto,\n"
+"la media real debe ser diferente del valor de prueba."
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr "La prueba t de Student para una muestra se utiliza para probar la hipótesis nula de que\n"
+"la media real es igual a un valor particular (normalmente cero). Un bajo\n"
+"El valor p sugiere que la hipótesis nula no es cierta y, por lo tanto,\n"
+"la media real debe ser diferente del valor de prueba.\n"
+"\n"
+"La prueba t de una muestra de Student asume que los datos provienen de un\n"
+" normaldistribución - en el caso de que uno no esté dispuesto a asumir esto, el\n"
+"El rango con signo de Wilcoxon no paramétrico se puede usar en su lugar (Sin embargo,\n"
+"tenga en cuenta que el rango con signo de Wilcoxon tiene un valor nulo ligeramente diferente\n"
+"hipótesis; que la * mediana * es igual al valor de prueba)."
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr "La prueba t de muestras pareadas de Student (a veces llamada\n"
+"prueba t de muestras dependientes) se utiliza para probar la hipótesis nula de que el\n"
+"la diferencia entre pares de medidas es igual a cero. Un valor p bajo\n"
+"sugiere que la hipótesis nula no es cierta y que la\n"
+"La diferencia entre los pares de medidas no es cero."
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr "La prueba t de muestras pareadas de Student (a veces llamada\n"
+"prueba t de muestras dependientes) se utiliza para probar la hipótesis nula de que el\n"
+"la diferencia entre pares de medidas es igual a cero. Un valor p bajo\n"
+"sugiere que la hipótesis nula no es cierta y que la\n"
+"la diferencia entre los pares de medidas no es cero.\n"
+"\n"
+"La prueba t de Student para muestras pareadas asume que siguen las diferencias entre pares\n"
+"una distribución normal - en el caso de que uno no esté dispuesto a asumir\n"
+"esto, el rango con signo de Wilcoxon no paramétrico se puede usar en su lugar\n"
+"(Sin embargo, tenga en cuenta que el rango con signo de Wilcoxon tiene un\n"
+" ligeramente diferentehipótesis nula; que los dos grupos de medidas siguen el mismo\n"
+"distribución)."
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr "El punto de corte es {}"
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr "La variable dependiente \"{dep}” tiene solo dos niveles, considere hacer una regresión logística binomial."
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr "La variable dependiente ‘{dep}’ tiene el siguiente orden: {OrderLevels}"
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr "La variable dependiente ‘{}’ tiene más de dos niveles; La regresión logística binomial solo se puede realizar en variables dependientes con dos niveles."
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr "Las medidas repetidas tienen solo dos niveles. El supuesto de esfericidad siempre se cumple cuando las medidas repetidas tienen solo dos niveles"
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr "Las medidas repetidas tienen solo dos niveles. El supuesto de esfericidad siempre se cumple cuando las medidas repetidas tienen solo dos niveles."
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr "El objeto subyacente `aov`"
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr "La variable {var} no se puede tratar como numérica. Los gráficos que esperan datos numéricos no se crearán para esta variable."
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr "Las variables {vars} no se pueden tratar como numéricas. Los gráficos que esperan datos numéricos no se crearán para esta variable."
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr "La prueba de bondad de ajuste de χ² (que no debe confundirse con la prueba de independencia de χ²), prueba la hipótesis nula de que las proporciones de observaciones coinciden con las proporciones esperadas. Si el valor p es bajo, esto sugiere que la hipótesis nula es falsa y que las proporciones verdaderas son diferentes a las probadas."
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr "La prueba de asociación χ² (que no debe confundirse con la bondad de ajuste χ²) se utiliza para probar si dos variables categóricas son independientes o están asociadas. Si el valor p es bajo, sugiere que las variables no son independientes y que existe una relación entre las dos variables."
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr "Cuantiles Teóricos"
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr "Este módulo representa los análisis incluidos con jamovi. Contiene muchos análisis comunes (como pruebas t, ANOVA, regresión, matrices de correlación, pruebas de proporción, tablas de contingencia, análisis factorial, etc.)."
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr "Umbral"
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr "Umbrales"
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr "Tolerancia"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr "Muy pocas observaciones (N < 3) para calcular la estadística"
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr "Muy pocas observaciones para calcular la estadística. Cada (sub) grupo debe tener al menos tantas observaciones como variables dependientes."
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr "Muy pocas muestras (N < 3) para calcular la estadística"
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr "Muy pocas muestras (N < {n}) para calcular la estadística"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr "Demasiadas observaciones (N > 5000) para calcular la estadística"
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr "Demasiadas muestras (N > 5000) para calcular la estadística"
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr "Demasiadas muestras (N > {n}) para calcular la estadística"
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr "Datos sobre Crecimiento de Dientes"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr "Total"
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr "Tukey"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr "Tukey (varianzas iguales)"
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr "Tukey Post-Hoc Test – {dep}"
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr "Tipo 1"
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr "Tipo 2"
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr "Tipo 3"
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr "Suma de cuadrados tipo 3"
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr "Suma de Cuadrados Tipo {ssType}"
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr "No se puede separar por una variable continua"
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr "Unicidad"
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr "Pruebas Univariadas"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr "Superior"
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr "VIF"
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr "Valor"
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr "Los valores son frecuencias"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr "Variable"
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr "La variable ‘{var}’ no contiene datos"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr "La variable contiene valores infinitos"
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr "La variable no contiene suficientes observaciones"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr "La variable no es numérica"
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr "Variables"
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr "Variables en columnas"
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr "Variables en filas"
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr "Las variables deben tener al menos dos niveles"
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr "Varianza"
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr "Varianzas"
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr "Varimax"
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr "Violin"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr "W"
+
+#: R/linreg.b.R
+msgid "Weighted by '{varName}'"
+msgstr ""
+
+#: linReg/options/weights.title
+msgid "Weights (optional)"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr "t de Welch"
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr "T de Welch"
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr "W de Wilcoxon"
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr "Rangos de Wilcoxon"
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr "Prueba de rangos con signo de Wilcoxon"
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr "Lambda de Wilks"
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr "Efectos Dentro de los Sujetos"
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr "Eje X"
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr "Eje X"
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr "Eje Y"
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr "Eje Y"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr "Z"
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr "` '1'`, `' 2'` o` '3'` (predeterminado), la suma de cuadrados a usar"
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr ""
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr "`'diferente'` (predeterminado), `'oneGreater'` o` 'twoGreater'`, la hipótesis alternativa; el grupo 1 es diferente al grupo 2, el grupo 1 es mayor que el grupo 2 y el grupo 2 es mayor que el grupo 1 respectivamente"
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr ""
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr ""
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr "`'listwise'` o `'fiml'`, cómo manejar los valores faltantes;`'listwise'` excluye una fila de todos los análisis si falta una de sus entradas, `'fiml'` usa un método de máxima verosimilitud de información completa para estimar el modelo."
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr "` ‘means’` (predeterminado) o `' medians’`, las barras de error para usar en la gráfica"
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr "`'minres'` (predeterminado), `' ml'` o` 'pa'` utilizan respectivamente 'residuo mínimo , 'máxima verosimilitud’ o ’eje principal' como método de extracción de factores"
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr "`'none'`, `' ci'` (predeterminado) o` 'se'`. No utilice barras de error, utilice intervalos de confianza o utilice errores estándar en las gráficas de medias marginales, respectivamente"
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr "`'none'`, `' gamesHowell'` o` 'tukey'`, que pruebas post-hoc se proporcionan; `'none'` no muestra pruebas post-hoc,` 'gamesHowell'` muestra pruebas de post-hoc de Games-Howell donde no se asume equivalencia de varianzas, y `'tukey'` muestra pruebas post-hoc de Tukey donde se asume equivalencia de varianzas"
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr "` 'notequal'` (predeterminado), `' greater’` o` ‘less’`, la hipótesis alternativa"
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr "` ‘parallel’` (predeterminado), `' eigen'` o` ‘fixed’`, la forma de determinar el número de factores"
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr "` 'perAnalysis'` o `' listwise'`, cómo manejar los valores perdidos; 'perAnalysis'` excluye los valores perdidos para las variables dependientes individuales,`' listwise'` excluye una fila de todos los análisis si una de sus entradas es desaparecido"
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr "` 'perAnalysis'` o `' listwise'`, cómo manejar los valores perdidos; 'perAnalysis'` excluye los valores perdidos para las variables dependientes individuales,`' listwise'` excluye una fila de todos los análisis si una de sus entradas es desaparecido."
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr "` 'refLevel'` (predeterminado) o `' grandMean'`, codificación de la intersección. O crea contraste para que la intersección represente el nivel de referencia o la media global"
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr "` ‘rows’` o `' columns’` (predeterminado), muestra las variables en las filas o en las columnas (predeterminado)"
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr "`ANCOVA - ${dep}`"
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr "`ANOVA - ${dep}`"
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr "`Coeficientes del Modelo - ${ dep }`"
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr "`Coeficientes del Modelo - ${dep}`"
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr "`Proporciones - ${var}`"
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr "`TRUE` (predeterminado) o `FALSE`, realiza pruebas t de Student"
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr "`TRUE` (predeterminado) o `FALSE`, realiza el ANOVA unidireccional de Welch que no asume varianzas iguales"
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione los valores ‘Z’ y ‘p’ para las estimaciones del modelo"
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona el Criterio de información de Aikaike (AIC) para los modelos"
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona el α de Cronbach"
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona la R de Pearson"
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona una prueba de chi-cuadrado para un ajuste exacto que compara el modelo con el modelo de ajuste perfecto"
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona un intervalo de confianza para las medias marginales estimadas"
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr "`TRUE” (predeterminado) o `FALSE`, proporciona gráficas de medias marginales estimadas"
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona estimaciones de las (co) varianzas de los factores"
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona estimaciones de las (co) varianzas de los residuos"
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona diferencias medias para pruebas post-hoc"
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona niveles de significación"
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona niveles de significación de las pruebas post-hoc"
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona la desvianza (o -2LogLikelihood) para los modelos"
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione la media"
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione la mediana"
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona la comparación del modelo entre los modelos y el modelo NULL"
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione el número de valores perdidos"
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione el tamaño de la muestra"
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione la desviación estándar"
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona la medida estadística `R-squared` para los modelos"
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporciona la medida estadística `R` para los modelos"
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr "`TRUE` (predeterminado) o `FALSE`, proporcione χ²"
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr "`TRUE` (predeterminado) o `FALSE`, pese cada celda por igual o péselos de acuerdo con la frecuencia de la celda"
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr "`TRUE` o `FALSE` (predeterminado), agregar frecuencias a los gráficos de barras"
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), agregar la media al diagrama de cajas"
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr "`TRUE` o `FALSE` (predeterminado), marca las correlaciones significativas"
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr "`TRUE` o `FALSE` (predeterminado), marca las comparaciones post-hoc significativas"
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza el ANOVA unidireccional de Fisher que asume varianzas iguales"
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza la prueba de Levene para la homogeneidad de las varianzas"
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza las pruebas de Levene para la homogeneidad de las varianza"
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realizar pruebas U de Mann-Whitney"
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza la prueba de normalidad de Shapiro-Wilk"
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza pruebas de normalidad de Shapiro-Wilk"
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza pruebas de normalidad Shapiro-wilk"
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza pruebas de normalidad de Shapiro-wilk"
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza las pruebas t de Welch"
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realiza pruebas de rango con signo de Wilcoxon"
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr "`TRUE` o `FALSE` (predeterminado), realice una prueba de Shapiro-Wilk en los residuales"
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realizar pruebas de homogeneidad"
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr "`TRUE` o `FALSE` (predeterminado), realizar comparaciones por pares"
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), realizar pruebas de esfericidad"
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr "`TRUE` o `FALSE` (predeterminado), grafica los datos encima de las medias marginales"
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione el Criterio de información de Aikaike (AIC) para los modelos"
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona factores de Bayes"
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el Criterio de información bayesiano (BIC) para los modelos"
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de credibilidad Bayesianos"
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba M de Box"
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba Box-Tidwell para la linealidad del logit"
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona los tamaños de efecto d de Cohen"
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba exacta de Fisher"
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione el tau-b de Kendall"
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba de Mantel-Haenszel para la tendencia"
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr ""
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona Phi y la V de Cramer"
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos Q-Q (solo variables continuas)"
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos Q-Q de residuos"
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona RMSE para los modelos"
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione el valor p de Shapiro-Wilk"
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba de Shapiro-Wilk"
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la rho de Spearman"
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estadísticas de colinealidad de tolerancia y VIF"
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una gráfica Q-Q de normalidad multivariante"
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un gráfico Q-Q de residuos"
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un gráfico de curva ROC"
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un intervalo de confianza para las estimaciones de los coeficientes del modelo"
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un intervalo de confianza para las estimaciones del coeficiente de la razón de odds del modelo"
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr ""
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr ""
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un intervalo de confianza para los coeficientes del modelo"
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un intervalo de confianza para las estimaciones del modelo"
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una gráfica de matriz de correlación"
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una gráfica de correlación"
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una gráfica de corte"
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una gráfica descriptiva"
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona un diagrama de flujo del modelo"
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una tabla de clasificación prevista (o matriz de confusión)"
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una estimación estandarizada de los coeficientes del modelo"
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una estimación estandarizada para las estimaciones del modelo"
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una prueba z para las diferencias entre dos proporciones"
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona una relación de probabilidades de registro exacta (requiere la instalación de exact2x2)"
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos de barras (solo variables nominales y ordinales)"
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona diagramas de caja (solo variables continuas)"
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione porcentajes de columna"
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza"
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza para las medidas comparativas"
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza para los tamaños del efecto"
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza para la media"
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza para las diferencias de medias"
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona intervalos de confianza para los tamaños de efecto post-hoc"
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona densidades en la gráfica de la matriz de correlación"
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos de densidad (solo variables continuas)"
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos descriptivos"
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estadísticas descriptivas"
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos de puntos (solo variables continuas)"
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona tamaños de efecto"
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona tamaños de efecto"
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona tablas de medias marginales estimadas"
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estimaciones para las intersecciones de factores"
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estimaciones para las intersecciones residuales"
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona tablas de frecuencia (solo variables nominales y ordinales)"
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gamma"
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona histogramas (solo variables continuas)"
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona medias del elemento"
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona desviaciones estándar del elemento"
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona correlaciones del resto de elementos"
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona medias y desviaciones estándar"
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr "`TRUE` o `FALSO` (predeterminado), proporcionan medias y errores estándar"
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcionan índices de modificación para los parámetros no incluidos en el modelo"
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona percentiles"
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona gráficos de posteriores"
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona cuantiles"
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr "`TRUE` o `FALSO` (predeterminado), proporcionan gráficos de residuos donde la variable dependiente y cada covariable se representan frente a los residuos estandarizados."
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona los resultados de la prueba de Durbin-Watson para la autocorrelación"
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona porcentajes de fila"
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estadísticas en la gráfica de la matriz de correlaciones"
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona estadísticas resumidas para la distancia de Cook"
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona los resultados de la prueba (valor t y grados de libertad) para pruebas post-hoc"
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el coeficiente de contingencia"
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona las diferencias en proporciones (solo disponible para tablas 2x2)"
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona las frecuencias esperadas"
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el exponencial de la estimación de la razón del log-odds o la estimación de la razón de odds"
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el exponencial de la estimación de la razón del logaritmo de la tasa o la estimación de la razón de tasas"
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el rango intercuartílico"
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la curtosis"
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la razón de verosimilitud"
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el logaritmo de la razón de odds (solo disponible para tablas 2x2)"
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione el máximo"
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione la media"
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione el mínimo"
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la moda"
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la comparación del modelo entre los modelos y el modelo NULO"
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el número de casos"
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona las frecuencias observadas"
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la razón de odds (solo disponible para tablas 2x2)"
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la prueba ANOVA ómnibus para los predictores"
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona las pruebas de razón de verosimilitud ómnibus para los predictores"
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcionan la precisión prevista de los resultados agrupados por el valor de corte"
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la sensibilidad prevista de los resultados agrupados por el valor de corte"
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la especificidad prevista de los resultados agrupados por el valor de corte"
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el rango"
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el valor bajo la curva ROC (AUC)"
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el riesgo relativo (solo disponible para tablas 2x2)"
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona los residuos de la matriz de correlación observada (es decir, la diferencia entre la matriz de correlación esperada y la matriz de correlación observada)"
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la asimetría"
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la desviación estándar"
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona el error estándar"
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la medida estadística \"R cuadrado ajustado” para los modelos"
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la suma"
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona los umbrales que se utilizan como puntajes de corte para los niveles de la variable dependiente"
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona la varianza"
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona porcentajes totales"
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona tramas de violín (solo variables continuas)"
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporcione cuál sería el α de Cronbach si se descartara el elemento"
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr "`TRUE` o `FALSO` (predeterminado), proporcione lo que sería el McDonald’s ω si se descartara el elemento"
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr "`TRUE` o `FALSE` (predeterminado), proporciona χ² con corrección de continuidad"
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr "`TRUE` o `FALSE` (predeterminado), informa un resumen de los diferentes grupos"
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr "`TRUE` o `FALSE` (predeterminado), establece un límite utilizado para las predicciones"
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra los resultados de la prueba de esfericidad de Bartlett"
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra los resultados de la medida de adecuación de muestreo (MSA) de Kaiser-Meyer-Olkin (KMO)"
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra gráficos de barras"
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra la tabla de valores propios"
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra el resumen de factores"
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra correlaciones entre factores"
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra las medidas de ajuste del modelo y prueba"
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr "`TRUE` o `FALSE` (predeterminado), muestra la gráfica de sedimentación"
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr "`TRUE` o `FALSO` (predeterminado), ordena las cargas de los factores por tamaño"
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr "`TRUE` o `FALSE` (predeterminado), prueba de homogeneidad de varianzas (prueba de Levene, …)"
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr "`TRUE` o `FALSE` (predeterminado), las variables son frecuencias"
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr "`TRUE` o `FALSE` (predeterminado), si se deben mostrar los recuentos esperados"
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr "`TRUE` o `FALSE` (predeterminado); realizar una prueba de modelo general"
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr "`columns` o `rows` (predeterminado), comparar en columnas/filas la diferencia de proporciones o riesgos relativos (tablas 2x2)"
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr "una tabla de matriz de correlación (semi)parcial"
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr "una lista separada por comas (por defecto: 25,50,75) especificando los percentiles"
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr "la gráfica de la matriz de correlaciones"
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr "la tabla de la matriz de correlaciones"
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr "la gráfica descriptiva"
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr "una fórmula que contiene los términos para estimar las medias marginales (ver los ejemplos)"
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr "una fórmula que contiene los términos para estimar las medias marginales, admite hasta tres variables por término"
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr "una fórmula que contiene los términos para realizar pruebas post-hoc (ver los ejemplos)"
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr "una fórmula que describe los términos que deben incluirse en el modelo (no es necesario cuando se proporciona una fórmula, consulte los ejemplos)"
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr "una lista que contiene listas nombradas que definen la` etiqueta` del factor y las `vars` que pertenecen a ese factor"
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr "una lista que contiene vectores de cadenas que nombran los predictores que se agregan al modelo. Los elementos se agregan al modelo de acuerdo con su orden en la lista"
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr "una lista de vectores de caracteres que describen los términos entre sujetos que deben incluirse en el modelo"
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr "una lista de vectores de caracteres que describen las pruebas post-hoc que deben calcularse"
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr "una lista de vectores de caracteres que describen los términos de medidas repetidas que deben incluirse en el modelo"
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr "una lista de listas que especifican los niveles de referencia de la variable dependiente y todos los factores"
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr ""
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr "una lista de listas que especifican los pares de medidas en `data`"
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr "una lista de listas que especifican las covarianzas residuales que deben estimarse"
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr "una lista de listas que especifican las variables para las que se deben calcular las medias marginales estimadas. Admite hasta tres variables por término."
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr ""
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr "una lista de listas, donde cada lista describe la` etiqueta` (como una cadena) y los `niveles` (como vector de cadenas) de un factor de medidas repetidas en particular"
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr "un número (predeterminado: 0), el valor propio mínimo para que un factor se incluya en el modelo"
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr "un número (predeterminado: 0.1), resalte los valores en la tabla` 'corRes'` arriba de este valor"
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr "un número (predeterminado: 0,3), ocultar las cargas de los factores por debajo de este valor"
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr "un número (predeterminado: 0.3), ocultar cargas por debajo de este valor"
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr "un número (predeterminado: 0.5), el valor de la hipótesis nula"
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr "un número (predeterminado: 1), el parámetro a priori beta 'a'"
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr "un número (predeterminado: 1), el parámetro a priori beta 'b'"
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr "un número (predeterminado: 1), el valor propio mínimo para que un componente se incluya en el modelo"
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr "un número (predeterminado: 3), resalte los valores en las tablas` 'modIndices'` por encima de este valor"
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "un número entre 0,5 y 2 (predeterminado 0,707), el ancho a priori que se utilizará para calcular los factores de Bayes"
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "un número entre 0,5 y 2,0 (predeterminado 0,707), el ancho a prior que se utilizará para calcular los factores de Bayes"
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95) especificando el ancho del intervalo de confianza"
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95) que especifica el ancho del intervalo de confianza para las medias marginales estimadas"
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95) que especifica el ancho del intervalo de confianza que se utiliza como` 'ci'`"
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho del intervalo de confianza"
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho del intervalo de credibilidad"
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho de los intervalos de confianza"
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho de los intervalos de confianza para los tamaños del efecto"
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho de los intervalos de confianza para los tamaños del efecto post-hoc"
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), el ancho de los intervalos de confianza a proporcionar"
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr "un número entre 50 y 99.9 (predeterminado: 95), ancho de los intervalos de confianza a proporcionar"
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr "un número que especifica el valor de la hipótesis nula"
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr "Parámetro a"
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr "un posible valor de` 'd'`; proporcione la medida d de Cohen del tamaño del efecto para las pruebas post-hoc"
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr "una tabla post-hoc"
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr "una tabla de proporciones"
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr "una gráfica q-q"
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr "una cadena (predeterminada: 'Dependent') que describe la etiqueta utilizada para la variable dependiente a lo largo del análisis"
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr "una cadena que nombra una variable en `data` que contiene recuentos, o NULL si cada fila representa una sola observación"
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr "una cadena que nombra la variable dependiente de `data`, la variable debe ser un factor"
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr "una cadena que nombra la variable dependiente de `data`, la variable debe ser numérica"
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr "una cadena que nombra la variable dependiente en `data`"
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr "una cadena que nombra las variables dependientes en `data`"
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr "una cadena que nombra la agrupación o variable independiente en `data`"
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr "un resumen de los grupos"
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr "una tabla que contiene las medias marginales estimadas"
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr "una tabla que contiene las estimaciones de las covarianzas de los factores"
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr "una tabla que contiene las estimaciones de las constantes de los factores"
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr "una tabla que contiene medidas de ajuste"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr "una tabla que contiene índices de modificación para las cargas factoriales no incluidas en el modelo"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr "una tabla que contiene índices de modificación para las covarianzas residuales no incluidas en el modelo"
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr "una tabla que contiene estimaciones de covarianzas residuales"
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr "na tabla que contiene las estimaciones de los interceptios residuales"
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr "una tabla que contiene los residuos de la matriz de correlación observada"
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr "una tabla que contiene la prueba de chi-cuadrado para un ajuste exacto"
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr "una tabla que contiene las estadísticas de colinealidad"
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr "una tabla que contiene los descriptivos"
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr "una tabla que contiene las cargas  del factor"
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr "una tabla que contiene los descriptivos del grupo"
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr "una tabla que contiene las pruebas de homogeneidad de varianzas"
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr "una tabla que contiene los resultados de la prueba de normalidad"
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr "una tabla que contiene las pruebas de normalidad"
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr "una tabla que contiene los resultados de la prueba Box-Tidwell"
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr "una tabla que contiene los resultados de la prueba t"
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr "una tabla de resultados ANCOVA"
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr "una tabla de resultados ANOVA"
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr "una tabla de medidas comparativas"
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr "una tabla de pruebas de homogeneidad de varianzas"
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr "una tabla de pruebas de homogeneidad"
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr "una tabla de pruebas de razón de verosimilitudes"
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr "una tabla de umbrales de coeficientes del modelo"
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr "una tabla de coeficientes del modelo"
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr "una tabla de pruebas de normalidad"
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr "una tabla de la clasificación predicha"
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr "una tabla de medidas predictivas"
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr "una tabla de proporciones"
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr "una tabla de los resultados de la prueba"
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr "una tabla de los resultados 'nominales' de la prueba"
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr "una tabla de los resultados de la prueba de Friedman"
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr "una tabla de los resultados de la prueba tau-b de Kendall"
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr "una tabla de la prueba de Mantel-Haenszel para la tendencia"
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr "una tabla de las estadísticas descriptivas"
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr "una tabla de los resultados de la prueba gamma"
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr "una tabla de comparaciones de parejas"
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr "una tabla de las proporciones"
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr "una tabla de las proporciones y los resultados de la prueba"
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr "una tabla de resultados de la prueba"
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr "una tabla de resultados de la prueba de χ²"
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr "un vector que contiene cadenas que nombran las variables de escala inversa"
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr "un vector de números: las proporciones esperadas"
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr "un vector de cadenas que nombran los factores entre sujetos de `data`"
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr "un vector de cadenas que nombran las variables de control en `data`"
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr "un vector de cadenas que nombran las covariables de `data`"
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr "un vector de cadenas que nombran las covariables de `data`. Las variables deben ser numéricas"
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr "un vector de cadenas que nombran los factores de `data`"
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr "un vector de cadenas que nombran los factores fijos de `data`"
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr "un vector de cadenas que nombran las variables de medidas repetidas"
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr "un vector de cadenas que nombran las variables de interés en `data`"
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr "un vector de cadenas que nombran las variables para correlacionar en `data`"
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr "un vector de cadenas que nombran las variables utilizadas para dividir` vars`"
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr "una matriz de gráficas Q-Q"
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr "una matriz de tablas de contrastes"
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr "una matriz de gráficos descriptivos"
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr "una matriz de tablas de frecuencias"
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr "una matriz de grupos de gráficos"
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr "una matriz de resultados específicos del modelo"
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr "una matriz de tablas de comparación por pares"
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr "una matriz de tablas post-hoc"
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr "una matriz de gráficos descriptivos"
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr "una matriz de las gráficas de medias marginales estimadas + tablas"
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr "una matriz de las gráficas a posteriori"
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr "una imagen que contiene el diagrama de flujo del modelo"
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr "una imagen que contiene grágicos descriptivos"
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr "un número entero (predeterminado: 1), el número de componentes en el modelo"
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr "un número entero (predeterminado: 1), el número de factores en el modelo"
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr "un número entero (predeterminado: 4) que especifica el número de grupos iguales"
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr "Parámetro b"
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr "parámetro beta 'a'"
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr "parámetro beta 'b'"
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr "columnas"
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr "componente(s)"
+
+#: R/pca.b.R
+msgid "components"
+msgstr "componentes"
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr "controlando por {items}"
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr "cúbico"
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr ""
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr ""
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr ""
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr ""
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr ""
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr ""
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr ""
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr ""
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr ""
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr ""
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr ""
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr ""
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr "obsoleto"
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr "gráficas descriptivas"
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr "dev"
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr "gl"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr "gl1"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr "gl2"
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr "arrastrar variable aquí"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr "arrastrar variables aquí"
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr "grupos iguales"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr "% error"
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr "factor(es)"
+
+#: R/pca.b.R
+msgid "factors"
+msgstr "factores"
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr "parámetro fijo"
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr "marcar correlaciones significativas (p <.05) con símbolos."
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr "marcar comparaciones post-hoc significativas."
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr "si el elemento se eliminó"
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr "en desarrollo"
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr "incluir un resumen de los grupos"
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr "el elemento {elemento} se correlaciona negativamente con la escala total y probablemente debería revertirse"
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr "correlación elemento-resto"
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr "los elementos {items} se correlacionan negativamente con la escala total y probablemente deberían invertirse"
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr "lineal"
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr "límite inferior"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr "media"
+
+#: R/pca.b.R
+msgid "none"
+msgstr "ninguno"
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr "oblimin"
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr "octic"
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr "del total"
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr "uno de` 'corr'` (predeterminado), `' pos'`,` 'neg'` especificando la hipótesis alternativa; correlacionado, correlacionado positivamente, correlacionado negativamente respectivamente."
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr "uno de` 'part'` (predeterminado) o `' semi'` especificando el tipo de correlación parcial a calcular; correlación parcial o semiparcial."
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr "uno o más de` 'cfi'`, `' tli'`,` 'srmr'`, `' rmsea'`,` 'aic'` o `' bic'`; use CFI, TLI, SRMR, RMSEA + intervalo de confianza del 90%, medidas de ajuste del modelo AIC y BIC ajustadas, respectivamente"
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr "uno o más de` 'eta'`, `' partEta'` o` 'omega'`; use η², η² parcial y ω² tamaños de efecto, respectivamente"
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr "uno o más de` 'none'` (predeterminado), `' GG'` o` `HF``; no use corrección de valor p, la corrección del valor p de Greenhouse-Geisser y la corrección p de Huynh-Feldt -corrección de valor por shericidad, respectivamente"
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr "uno o más de` 'none'`, `' tukey'` (predeterminado),` 'scheffe'`, `' bonf'` o` 'holm'`; use no, Tukey, Scheffe, Bonferroni y Holm correcciones post hoc, respectivamente"
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr "uno o más de `’none’`, `’tukey’`, `’scheffe’`, `’bonf’`, or `’holm’`; proporciona ninguno, Tukey, Scheffe, Bonferroni y Holm correcciones Post Hoc  respectivamente"
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr "uno o más de` 'pillai'`, `' wilks'`,` 'hotel'` o `' roy'`; use las estadísticas multivariadas Pillai's Trace, Wilks 'Lambda, Hotelling's Trace y Roy's Largest Root, respectivamente"
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr "uno o más de` 'r2mf'`, `' r2cs'` o` 'r2n'`; use McFadden's, Cox & Snell y Nagelkerke pseudo-R², respectivamente"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr "p"
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr "valor p"
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr "p<sub>bonferroni</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr "p<sub>holm</sub"
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr "p<sub>scheffe</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr "p<sub>tukey</sub>"
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr "η² parcial"
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr "realizar ANOVA de Fisher (o lo que podría llamarse 'normal')."
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "realizar pruebas de normalidad de Shapiro-Wilk. Un valor p bajo sugiere que los datos no provienen de una distribución normal."
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr "realizar pruebas de normalidad de Shapiro-Wilk. Un valor p bajo sugiere que los residuos no están distribuidos normalmente."
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr "realizar pruebas t de muestras independientes de Student."
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr "realizar pruebas t de Student para una muestra."
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr "realizar pruebas t de muestras pareadas de Student."
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr "realizar ANOVA de Welch."
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr "realizar las pruebas de Welch."
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr "realizar pruebas de rango con signo de Wilcoxon."
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr "realizar una prueba U de Mann-Whitney."
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "realice una prueba de normalidad de Shapiro-Wilk. Un valor p bajo sugiere que los datos no provienen de una distribución normal."
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr "realizar una prueba de modelo general."
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr "grafica las densidades a lo largo de la diagonal del gráfico de la matriz de correlación."
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr "trazar los datos junto con las medias marginales."
+
+#: R/pca.b.R
+msgid "promax"
+msgstr "promax"
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr "proporciona factores de Bayes para las pruebas t de muestras independientes de Student."
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr "proporciona los factores de Bayes para las pruebas t de una muestra de Student."
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr "proporciona factores de Bayes para las pruebas t de muestras pareadas de Student."
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "proporciona la prueba de Levene para la homogeneidad de las varianzas. Un valor p bajo sugiere que los grupos tienen varianzas desiguales."
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "proporciona las pruebas de Levene para la homogeneidad de las varianzas. Un valor p bajo sugiere que los grupos tienen varianzas desiguales."
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "proporciona gráficos Q-Q de residuos, un gráfico de los residuos reales frente a lo que se esperaría si los datos estuvieran * perfectamente * distribuidos normalmente. Las grandes desviaciones de la línea diagonal sugieren que los datos no son de una distribución normal."
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr "proporciona gráficos Q-Q de residuos, un gráfico de los residuos reales frente a lo que se esperaría si los datos estuvieran * perfectamente * distribuidos normalmente. Las grandes desviaciones de la línea diagonal sugieren que los residuos no están distribuidos normalmente."
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr "proporciona una medida d de Cohen del tamaño del efecto para las pruebas post-hoc."
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr "proporciona un tau-b de Kendall para cada combinación de variables."
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr "proporciona una r de Pearson para cada combinación de variables."
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "proporciona un gráfico Q-Q de residuos, un gráfico de los residuos reales frente a lo que se esperaría si los datos estuvieran * perfectamente * distribuidos normalmente. Las grandes desviaciones de la línea diagonal sugieren que los datos no son de una distribución normal."
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr "proporciona un rho de Spearman para cada combinación de variables."
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr "proporciona un intervalo de confianza para la diferencia entre la estimación media y el valor de prueba."
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr "proporciona una gráfica de matriz de correlación."
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr "proporciona un valor p para cada coeficiente de correlación."
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr "proporciona una tabla de descriptivos para cada variable."
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr "proporciona una tabla de las medias marginales estimadas."
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr "proporciona intervalos de confianza para la r de Pearson."
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr "proporcionar intervalos de confianza para los tamaños del efecto"
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr "proporciona intervalos de confianza para las diferencias de medias."
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr "proporciona intervalos de confianza para los tamaños del efecto post-hoc."
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr "proporciona coeficientes de correlación en el gráfico de la matriz de correlación."
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr "proporciona gráficos descriptivos para cada grupo."
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr "proporciona gráficos descriptivos para cada variable."
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr "proporcione descripciones para cada grupo de medidas."
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr "proporcione descripciones para cada grupo."
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr "proporcionar gráficos descriptivos."
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr "proporcionar tamaños de efecto (D de Cohen)."
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr "proporcionar tamaños de efecto (d de Cohen)."
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr "proporciona diferencias de medias y errores estándar de las diferencias de medias."
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr "proporciona diferencias medias con las pruebas post-hoc."
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr "proporciona diferencias de medias y errores estándar de las diferencias de medias entre la estimación media y el valor de prueba."
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr "proporciona medidas del tamaño del efecto; η², η² parcial o ω²."
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr "proporciona correcciones del valor p para la esfericidad."
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr "proporciona gráficos de las medias marginales estimadas."
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr "proporcionar pruebas post-hoc."
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr "proporciona niveles de significancia para las pruebas post-hoc."
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr "proporcionar pruebas de esfericidad."
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr "proporciona los resultados de la prueba (valor t y grados de libertad) para pruebas post-hoc."
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr "proporcione el número de casos."
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr "cuadratica"
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr "cuartica"
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr "quartimax"
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr "quíntico"
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr "elemento de escala inversa"
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr "filas"
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr "filas (predeterminado) o columnas en el eje X del diagrama de barra"
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr "escala"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr "de"
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr "séptica"
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"# REGRESIÓN LOGÍSTICA ORDINAL \n"
+"#\n"
+"# Medidas de ajuste del modelo \n"
+""
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr "séxtica"
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr "simplimax"
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr "Factor"
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr "pila o lado a lado (predeterminado), tipo de diagrama de barras"
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr "estadístico"
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr "t"
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr "valor t"
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr "percentil"
+
+#: linReg/options/weights.description.R
+msgid "the (optional) weights from `data` to be used in the fitting process"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr "la hipótesis alternativa y nula;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Nula (H₀)          |\n"
+"|———————|—————————|——————————|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr "la hipótesis alternativa."
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr "la hipótesis alternativa. Permite pruebas de una cola."
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr "los factores entre sujetos (opcional)."
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr "los términos entre sujetos del modelo."
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr "las variables categóricas explicativas (o independientes)"
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr "el ancho del intervalo de confianza para los tamaños del efecto."
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr "la amplitud del intervalo de confianza para los tamaños del efecto post-hoc."
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr "el ancho del intervalo de confianza."
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr "las variables explicativas (o independientes) continuas, también conocidas como covariables."
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr "los contrastes a utilizar."
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr "las variables de control de interés."
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr "los recuentos en `data`"
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr "las covariables (especificarlas hace que sea un ANCOVA)"
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr "las covariables de `data`"
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr "los datos como una 'data frame'"
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr "la variable dependiente de` data`, la variable debe ser numérica"
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr "la variable dependiente de` data`, la variable debe ser numérica (no es necesario cuando se proporciona una fórmula, ver ejemplos)"
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr "la variable dependiente. Para ANCOVA, serán continuas."
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr "la variable dependiente. Para ANOVA, serán continuas."
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr "las variables dependientes (no es necesario cuando se utiliza una fórmula, consulte los ejemplos)"
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr "las variables dependientes -- se realiza una prueba t separada para cada variable dependiente especificada."
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr "las variables dependientes. Para ANOVA, serán continuas."
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr "las barras de error para trazar las medias marginales."
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr "las covariables explicativas (no es necesario cuando se proporciona una fórmula, ver ejemplos)"
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr "los factores explicativos en` data` (no es necesario cuando se proporciona una fórmula, ver ejemplos) ."
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr "la variable explicativa o independiente. Para ANOVA esto será categórico."
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr "las variables explicativas o independientes. Para ANOVA, serán categóricas."
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr "los factores fijos de `data`"
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr "la variable de agrupación con dos niveles (no es necesario cuando se usa una fórmula, consulte los ejemplos)"
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr "la etiqueta que se utilizará para la variable dependiente."
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr "la sintaxis de lavaan utilizada para adaptarse al modelo"
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "el método de exclusión de valores perdidos.` Análisis por análisis` excluye los valores perdidos de cada análisis. `Listwise` excluye una fila de todos los análisis si falta uno de sus valores."
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "el método de exclusión de valores perdidos.` Análisis por análisis` excluye los valores perdidos de cada variable. `Listwise` excluye una fila de todos los análisis si falta uno de sus valores."
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr "los términos del modelo que componen el modelo."
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr "los términos del modelo que componen el modelo. Por defecto se crea un modelo factorial completo, pero aquí se pueden ajustar los términos exactos que componen el modelo."
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr "los pares de mediciones -- se realiza una prueba t separada para cada par de mediciones."
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr "las correcciones de comparaciones múltiples post-hoc que se deben utilizar."
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr "la amplitud a priori para los factores de Bayes de la prueba t de Student. Requiere un valor entre 0.5 y 2.0, por defecto 0.707."
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr "el diseño de medidas repetidas."
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr "las mediciones de medidas repetidas."
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr "los términos de medidas repetidas del modelo."
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr "los términos para los que se proporcionarán medias marginales estimadas. Aquí puede especificar varios términos."
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr ""
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr "el tipo de correlación a calcular"
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr "el tipo de sumas de cuadrados a utilizar; Tipo 1, 2 o 3."
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr "el tipo de sumas de cuadrados a utilizar; Tipo 2 o 3."
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr "la variable de interés en` data` (no es necesario cuando se usa una fórmula, consulte los ejemplos)"
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr "la variable que especifica los grupos; debe tener 2 niveles."
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "la variable que se utilizará como columnas en la tabla de contingencia (no es necesario cuando se proporciona una fórmula, consulte los ejemplos)"
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "la variable que se utilizará como recuento en la tabla de contingencia (no es necesario cuando se proporciona una fórmula, consulte los ejemplos)"
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "la variable que se utilizará como filas en la tabla de contingencia (no es necesario cuando se proporciona una fórmula, consulte los ejemplos)"
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr "las variables de interés — se realiza una prueba t separada para cada variable especificada."
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr "las variables de interés."
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "las variables que se utilizarán para dividir la tabla de contingencia (no es necesario cuando se proporciona una fórmula, consulte los ejemplos)"
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr "amplitud de los Intervalos de Confianza."
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr "total_pc (predeterminado), column_pc o row_pc. Utilice respectivamente los porcentajes \"del total”, \"de columnas” o \"de filas” para el eje y del gráfico de barras."
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr "límite superior"
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr "valor"
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr "la variación de las variables de control solo se elimina de las variables en las columnas"
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr "varimax"
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr "cada celda pesa por igual. (Las celdas pesan de acuerdo con la frecuencia de celda de forma predeterminada)."
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr "de columnas"
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr "de filas"
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr "ycounts (predeterminado) o ypc. Utilice respectivamente \"frecuencias” o \"porcentajes” para el eje y del gráfico de barras"
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr "Prueba z para diferencia de 2 proporciones"
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr "Prueba z para diferencia de 2 proporciones"
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr "La prueba z solo está disponible para tablas 2x2"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr "IC {ciWidth}% Inferior"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr "IC {ciWidth}% Superior"
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr "IC {ciWidth}% de la media {title}"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr "Intervalo de Confianza al {ciWidth}%"
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr "Intervalos de Confianza al {ciWidth}%"
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr "{item1} y {item2}"
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr "{list}, y {lastItem}"
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr "{list}, {nextItem}"
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr "{n} par(es) de valores estaban repetidos"
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr "{type} puntuación basada en las variables {vars}"
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr "{varName} (invertida)"
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr "{varType} del modelo de regresión logística binomial{modelNo}"
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr "{varType} del modelo de regresión lineal{modelNo}"
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr "{} - Tau B de Kendall"
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr "{} - r de Pearson"
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr "{} - rho de Spearman"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr "±%"
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr "ΔR²"
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr "ε²"
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr "η²"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr "η²<sub>G</sub>"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr "η²<sub>p</sub>"
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr "η²p"
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr "χ²"
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr "χ² de Bondad de Ajuste"
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr "χ² de bondad de ajuste"
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr "Pruebas de χ²"
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr "χ² con corrección de continuidad"
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr "Prueba de χ²"
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr "Prueba de associación de χ²"
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr "ω²"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr "⁻ media - 1DE, <sup>μ</sup> media, ⁺ media + 1DE"
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr "≠ Valor de Prueba"
diff --git a/jamovi/i18n/ja.po b/jamovi/i18n/ja.po
new file mode 100644
index 00000000..5e022a7d
--- /dev/null
+++ b/jamovi/i18n/ja.po
@@ -0,0 +1,8748 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2022-02-01 12:38+0900\n"
+"Language: ja\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix 
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr "%"
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr "正判別%"
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr "全体%"
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr "分散説明率（%）"
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr "全体%"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr "列%"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr "行%"
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr "「{col}」に無限値が含まれています"
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr "「{col}」に欠損値が含まれています"
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr "「{col}」の値がすべて欠損値です"
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr "「{col}」がすべて同じ値になっています"
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr "「{method}」で抽出した因子に「{rotation}」を適用した結果です"
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr "「{rotation}」の結果です"
+
+#: R/linreg.b.R
+msgid "'{var}' contains negative values. Negative weights are not permitted."
+msgstr "「{var}」は負の値を含んでいます。負の値で重みづけすることはできません。"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr "* p < .05, ** p < .01, *** p < .001, 片側検定"
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr "1"
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr "1 - 特異度"
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr "2値目的変数"
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr "25,50,75"
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr "< 検定値"
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr "> 検定値"
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr "小さなp値は分散等質性の前提が満たされていない可能性を示します"
+
+#: anovaOneW/results/assump/norm.notes.p 
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p 
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr "小さなp値は正規性の前提が満たされていない可能性を示します"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr "相関分析用データセット"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr "反復測定分散分析用データセット"
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr "AIC"
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr "共分散分析"
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr "分散分析"
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr "ANOVA検定"
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr "AUC"
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr "精度"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr "ブロックを追加"
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr "因子を追加"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr "項を追加"
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr "追加オプション"
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr "追加の出力"
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr "追加の統計量"
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr "調整済R²"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr "データがすべて同順位です"
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr "対立仮説"
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr "分散分析用のデータセット"
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr "jamoviの基本分析ツール"
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr "アンダーソン=ルビン"
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr "AndersonのIrisデータ"
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr "参加者間要因が指定されていないため、この前提はつねに満たされます。"
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr "等質性を仮定（フィッシャー）"
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr "前提チェック"
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr "前提チェック"
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr "少なくとも1つの変数が2水準以上でなくてはなりません"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr "自己相関"
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr "自己相関検定"
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr "2行2列の表でのみ算出されます"
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr "BIC"
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr "棒グラフ"
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr "棒グラフ"
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr "棒グラフのタイプ"
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr "棒グラフ"
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr "バートレット"
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr "バートレットの球面性検定"
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr "バートレットの球面性検定"
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr "固有値に基づく"
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr "平行分析に基づく"
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr "ベイズ因子"
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr "ベイズ因子₁₀"
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr "ベイズ統計量"
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr "参加者間因子"
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr "参加者間要因"
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr "参加者間効果"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr "2項"
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr "2項ロジスティック回帰"
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr "2項検定"
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr "2項検定"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr "ブロック 1"
+
+#: jamovi/js/linreg.events.js:4 
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4 
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4 
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38 
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr "ブロック {0}"
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr "ブロック"
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr "ボンフェロニ"
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr "箱ひげ図"
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr "箱ひげ図"
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr "ボックスの共分散行列等質性検定"
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr "ボックスのM検定"
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr "共分散行列の等質性についてのボックスのM検定"
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr "ロジット線形性検定（ボックス=ティドウェル）"
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr "ボックス=ティドウェル検定"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr "Bugsデータ (Ryan, Wilde & Crist, 2013)"
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr "CFI"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr "信頼区間下限"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr "信頼区間上限"
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr "セル"
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr "中心傾向"
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr "カイ2乗分位点"
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr "分類表"
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr "クロス集計表 – {dep}"
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr "分類表"
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr "コーエンのd"
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr "共線性統計量"
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr "共線性統計量"
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr "列"
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr "「{name}」列に未使用の水準が含まれています（これは欠損値のある行が除外された場合に起こり得ます）"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr "列変数「{var}」が1水準しかありません"
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr "列"
+
+#: R/conttables.b.R
+msgid "Columns compared"
+msgstr "比較列"
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr "比較指標"
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr "比較指標（2行2列の場合のみ）"
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr "比較方法"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr "比較"
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr "比較は推定周辺平均値に基づく値です"
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr "主成分"
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr "主成分負荷量"
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr "主成分統計量"
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr "主成分の相関"
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr "主成分得点"
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr "主成分の要約量"
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr "要因"
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr "信頼区間"
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr "信頼区間"
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr "信頼区間"
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr "平均値の信頼区間"
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr "信頼区間"
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr "信頼区間"
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr "信頼水準"
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr "確認的因子分析"
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr "制約"
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr "クロス集計表"
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr "コンティンジェンシー係数"
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr "対比"
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr "対比 - $key"
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr "統制変数"
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr "統制変数"
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr "クックの距離"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr "クックの距離"
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr "修正"
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr "修正"
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr "相関あり"
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr "負の相関あり"
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr "正の相関あり"
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr "相関"
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr "相関係数"
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr "相関ヒートマップ"
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr "相関行列"
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr "相関のタイプ"
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr "相関ヒートマップ"
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr "相関行列は、２つ以上の連続変数の間にある線形関係について調べるための\n"
+"方法です。"
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "相関行列は、複数の連続変数間にある線形関係について調べるための\n"
+"方法です。\n"
+"\n"
+"ピアソンの相関係数rは、各変数ペアについて、変数間の関係の強さと\n"
+"方向性を示します。正の値は、正の相関（一方の変数値が大きいほど、\n"
+"他方の変数値も大きいと予測される）を示します。負の値は、負の相関\n"
+"（一方の変数値が大きいほど、他方の変数値は小さいと予測される）を\n"
+"示します。rが0の場合、両者に関係がないことを示します（ある変数値の\n"
+"大小からは、もう一方の変数の値について何もわかりません）。\n"
+"\n"
+"相関係数については、r=0であるという帰無仮説を検定し、p値を計算する\n"
+"ことが可能です。小さなp値は、相関係数が0ではなく、2つの変数の間に\n"
+"線形（またはより複雑な）関係があることを示します。"
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr "相関行列"
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr "相関のタイプ"
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr "度数"
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr "度数"
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr "度数（オプション）"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr "度数は有限でなくてはなりません"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr "度数は正の値でなければなりません"
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr "度数は有限な正の値でなくてはなりません"
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr "共変量"
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr "コックス=スネルのR²"
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr "クラメールのV"
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr "ベイズ信頼区間"
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr "ベイズ信頼区間"
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr "クロンバックのα"
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr "項目除外時のクロンバックα"
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr "累積%"
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr "分割数"
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr "均等に"
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr "カットオフ"
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr "カットオフ・プロット"
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr "カットオフ・プロット"
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr "カットオフ値"
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr "多重比較（DSCF）"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr "DW統計量"
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr "データ"
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr "データ縮約"
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr "データ要約"
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr "変数の密度曲線"
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr "密度曲線"
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr "従属変数"
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr "従属変数"
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr "従属変数ラベル"
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr "従属変数"
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr "従属変数は数値型でなければなりません"
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr "記述統計量のグラフ"
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr "記述統計量のグラフ"
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr "記述統計"
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr "記述統計量のグラフ"
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr "記述統計量の表"
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr "記述統計は、データ分布の特徴について探索するために、要約統計量の算出や視覚化を行います。より本格的な分析に進む前に、まず記述統計でデータの特徴を調べておくことをお勧めします。"
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr "記述統計量のグラフ"
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr "記述統計量の表"
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr "逸脱度"
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr "偏差"
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr "差分"
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr "比率の差"
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr "比率の差"
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr "ばらつき"
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr "分布"
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr "等質性を仮定しない（ウェルチ）"
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr "ダービン=ワトソンの自己相関検定"
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr "多重比較（ドゥワス=スティール=クリッチロウ=フリグナー）"
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr "効果量"
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr "効果量"
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr "固有値"
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr "固有値"
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr "固有値の最小基準値"
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr "均等重みづけ"
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr "誤差線"
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr "推定値"
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr "推定値（対数オッズ比）"
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr "推定値（対数率比）"
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr "推定周辺平均"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr "推定周辺平均値 - {term}"
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr "推定値"
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr "推定値は 「{dep} = {level1}」vs.「{dep} = {level2}」の対数オッズです"
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr "推定値は次の対数オッズを表しています…"
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr "推定法"
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr "分析ごとに除外"
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr "行全体を除外"
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr "除外"
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr "期待度数"
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr "期待比率"
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr "期待度数"
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr "探索"
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr "探索的因子分析"
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr "抽出法"
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr "F"
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr "F検定"
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr "F統計量を計算できません"
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr "因子分析"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr "「{factorName}」要因にデータがありません"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr "「{factorName}」要因に1水準しか含まれていません"
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr "因子 {factor} の値は2水準以上でなければなりません"
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr "因子 1"
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr "因子共分散"
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr "因子推定値"
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr "因子切片"
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr "因子負荷"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr "因子負荷量 – 修正指数"
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr "因子統計量"
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr "因子の相関"
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr "因子共分散"
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr "因子の切片"
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr "因子得点"
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr "因子の要約量"
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr "因子の分散を1に固定"
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr "因子 {0}"
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr "因子"
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr "フィッシャー法"
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr "フィッシャーの正確確率検定"
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr "適合度指標"
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr "予測値"
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr "固定因子"
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr "数値指定"
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr "差が有意なペアに印"
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr "有意な相関に印"
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr "度数分析"
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr "$keyの度数分布表"
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr "度数分布表"
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr "フリードマン"
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr "完全情報最尤推定法"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr "ゲームス=ハウエル（非等分散）"
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr "多重比較（ゲームス=ハウエル法） - {dep}"
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr "グッドマン=クラスカルのガンマ"
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr "全般オプション"
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr "一般化η²"
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr "全体平均（シンプルコード）"
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr "グリーンハウス=ガイザー"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr "グリーンハウス=ガイザーのε"
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr "グループ"
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr "グループ1"
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr "グループ１ < グループ２"
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr "グループ１ > グループ２"
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr "グループ１ ≠ グループ２"
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr "グループ2"
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr "グループ統計量"
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr "グループの要約"
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr "グループの要約"
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr "グループ変数"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr "欠損値の除外後にグループ変数「{a}」が1水準になりました"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr "グループ変数「{a}」の値は2水準でなければなりません"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr "グループ変数「{a}」を同時に従属変数として使用することはできません"
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr "ホールデン=アンスコムの修正による修正値です"
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr "ハーマン"
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr "ヘルマート"
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr "これ未満の負荷量を隠す"
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr "これ以上の値を強調"
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr "ヒストグラム"
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr "ヒストグラム"
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr "ホルム"
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr "分散等質性検定（ルビーン検定）"
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr "等質性検定"
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr "ホテリングのトレース"
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr "ヒューン=フェルト"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr "ヒューン=フェルトのε"
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr "仮説"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr "対立仮説：負の相関あり"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr "対立仮説：正の相関あり"
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr "対立仮説：比率 {direction} {testValue}"
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr "四分位範囲"
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr "対応なし"
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr "対応なしt検定"
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr "観測変数"
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr "回転前の固有値"
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr "回転前の固有値"
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr "主成分間の相関"
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr "因子間の相関"
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr "切片"
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr "区間幅"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr "項目「{item}」には1水準しかありません"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr "項目「{item}」に無限値が含まれています"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr "項目「{item}」には欠損値しかありません"
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr "項目「{item}」の分散が0です"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr "項目「{item}」は数値でなくてはなりません"
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr "項目信頼性統計量"
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr "項目統計量"
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr "I-R相関"
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr "項目"
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr "ちりばめ"
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr "KMO標本妥当性指標（MSA）"
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr "KMO標本妥当性指標"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr "ケンドールの順位相関係数"
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr "ケンドールの順位相関係数"
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr "ケンドールの順位相関係数"
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr "ケンドールの順位相関係数"
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr "クラスカル=ウォリス"
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr "尖度"
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr "階層"
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr "水準"
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr "水準 1"
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr "水準 2"
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr "変数値"
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr "ルビーン検定の結果が有意です（p < .05）。分散等質性の前提が満たされていない可能性があります"
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr "尤度"
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr "尤度比"
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr "尤度比検定"
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr "線形回帰"
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr "線形回帰は、連続型の目的変数と1つ以上の連続型または離散型説明変数との関係を調べるため\n"
+"の方法です。分散分析や共分散分析などは、実際には線形回帰の一形態に過ぎません。"
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr "対数オッズ比"
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr "正確対数オッズ比"
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr "対数線形回帰"
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr "ロジスティック回帰"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr "下限"
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr "多変量共分散分析"
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr "MSA"
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr "マン=ホイットニーのU"
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr "マンテル=ヘンツェルの傾向性検定"
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr "マンテル=ヘンツェルの傾向性検定"
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr "周辺平均値"
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr "周辺平均値"
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr "周辺平均値のグラフ"
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr "周辺平均値の表"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr "モークリーのW"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr "最大値"
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr "最大値"
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr "最尤法"
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr "マクドナルドのω"
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr "項目除外時のマクドナルドω"
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr "マクファデンのR²"
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr "マクニマー検定"
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr "マクニマー検定は2行2列の表でのみ利用可能です"
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr "マクニマー検定"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr "平均値"
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr "平均値（{ciWidth}%信頼区間）"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr "平均値の差"
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr "平均値のばらつき"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr "2乗平均"
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr "平均値の差"
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr "平均得点"
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr "平均値"
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr "測定条件"
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr "測定値 1 - 測定値 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr "測定値 1 < 測定値 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr "測定値 1 > 測定値 2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr "測定値 1 ≠ 測定値 2"
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr "測定値"
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr "中央値"
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr "中央値"
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr "方法"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr "最小値"
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr "最小値"
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr "最小残差法"
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr "最小残差法"
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr "最小基準値"
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr "欠損値"
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr "欠損値"
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr "欠損値の処理"
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr "欠損値"
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr "欠損値の除外方法"
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr "最頻値"
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr "モデル"
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr "モデルビルダー"
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr "モデル係数"
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr "モデル比較"
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr "モデル適合度"
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr "モデル適合度指標"
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr "個別モデルの結果"
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr "モデル項"
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr "モデルの検定"
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr "モデルの閾値"
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr "モデル適合度指標"
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr "モデルの閾値"
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr "修正指数"
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr "修正指数"
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr "最頻値が複数存在しますが、ここでは最初の値のみ報告されています"
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr "多項"
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr "多項ロジスティック回帰"
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr "多変量共分散分析（MANCOVA）は、複数の従属変数と1つまたは複数の離散型説明変数、連続型の共変量の関係を調べるための分析方法です。"
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr "多変量統計量"
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr "多変量検定"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr "N"
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr "多値目的変数"
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr "ナゲルケルケのR²"
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr "固有値が {value} より大きな主成分はありません"
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr "修正なし"
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr "因子が定義されていません。ボックスのM検定はモデルに因子が含まれる場合のみ使用可能です。"
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr "名義尺度"
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr "ノンパラメトリック"
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr "なし"
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr "通常項目"
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr "正規性"
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr "正規性検定（シャピロ=ウィルク）"
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr "正規性検定"
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr "主成分数"
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr "因子数"
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr "主成分数"
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr "因子数"
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr "オブリミン"
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr "観測度数"
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr "観測度数"
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr "観測値"
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr "オッズ比"
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr "オッズ比"
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr "オムニバスANOVA検定"
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr "オムニバス尤度比検定"
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr "オムニバス検定"
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr "オムニバス検定"
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr "1標本比率検定"
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr "1標本t検定"
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr "両方またはいずれかのグループに十分なデータがありません"
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr "両方またはいずれかの変数の値が数値ではありません"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr "両方またはいずれかの変数が無限値を含んでいます"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr "両方またはいずれかの変数にデータがありません"
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr "両方またはいずれかの変数に十分なデータが含まれていません"
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr "完全な多重共線性のため、モデル ‘{modelNo}’ において1つ以上の係数が推定できませんでした。"
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr "1要因分散分析"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr "1要因分散分析（フィッシャー法）"
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr "1要因分散分析（ノンパラメトリック）"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr "1要因分散分析（ウェルチ法）"
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr "オプション"
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr "順序尺度"
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr "順序ロジスティック回帰"
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr "順序目的変数"
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr "出力"
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr "全体"
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr "モデル全体の検定"
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr "モデル全体"
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr "モデル全体の検定"
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr "対応あり"
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr "対応ありクロス集計表"
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr "対応ありt検定"
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr "変数ペア"
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr "多重比較（ダービン=コノバー法）"
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr "多重比較（ダービン=コノバー法）"
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr "多重比較 - $key"
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr "偏相関"
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr "偏相関"
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr "偏相関行列は、他の変数による影響を制御しながら、複数の連続変数間の\n"
+"線形関係について調べるための方法でです"
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "偏相関行列は、他の変数による影響を制御しながら、複数の連続変数間の\n"
+"線形関係について調べるための方法です。\n"
+"\n"
+"ピアソンの相関係数rは、各変数ペアについて、変数間の関係の強さと\n"
+"方向性を示します。正の値は、正の相関（一方の変数値が大きいほど、\n"
+"他方の変数値も大きいと予測される）を示します。負の値は、負の相関\n"
+"（一方の変数値が大きいほど、他方の変数値は小さいと予測される）を\n"
+"示します。rが0の場合、両者に関係がないことを示します（ある変数値\n"
+"の大小からは、もう一方の変数の値について何もわかりません）。\n"
+"\n"
+"相関係数については、r=0であるという帰無仮説を検定し、p値を計算\n"
+"することが可能です。小さなp値は、相関係数が0ではなく、2つの変数\n"
+"の間に線形（またはより複雑な）関係があることを示します。"
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr "偏η²"
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr "パス図"
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr "パス図"
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr "ピアソンの相関係数"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr "ピアソンの相関係数"
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr "ピアソンの相関係数"
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr "パーセント"
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr "全体での比率（%）"
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr "{var} 内での比率（%）"
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr "パーセンタイル"
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr "パーセンタイル値"
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr "パーセンタイルの指定値"
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr "パーセンタイル"
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr "ファイ係数とクラメールのＶ"
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr "ファイ係数"
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr "ピライのトレース"
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr "グラフ"
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr "グラフタイプ"
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr "グラフ"
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr "多項式"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr "多重比較 - {term}"
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr "事後検定"
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr "事後検定 – $key"
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr "モデルの事後修正"
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr "事後検定"
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr "事後検定"
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr "事後分布"
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr "事後分布のグラフ"
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr "事後分布のグラフ"
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr "予測値"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr "{dep} = {level1} の確率（vs. {dep} = {level2}）"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr "… = … の確率（vs … = …）"
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr "予測値"
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr "予測"
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr "予測指標"
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr "予測変数"
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr "予測変数"
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr "主成分分析"
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr "主因子法"
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr "主因子法"
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr "事前分布"
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr "幅の事前値"
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr "確率"
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr "プロマックス"
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr "比率"
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr "比率の検定（2値）"
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr "比率の検定（多値）"
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr "疑似R²"
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr "Q-Qプロット"
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr "Q-Qプロット"
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr "多変量正規性評価のためのQ-Qプロット"
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr "Q-Qプロット"
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr "Q-Qプロット"
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr "多変量正規Q-Qプロット"
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr "残差Q-Qプロット"
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr "Q-Qプロット"
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr "クォ―ティマックス"
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr "R"
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr "反復測定因子 1"
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr "反復測定因子 {0}"
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr "RMSE"
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr "RMSEA"
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr "RMSEA 90%信頼区間"
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr "ROC"
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr "ROC曲線"
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr "ROC曲線"
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr "範囲"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr "順位双列相関係数"
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr "率比"
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr "率比"
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr "比率"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr "基準レベル"
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr "基準レベル"
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr "基準レベル（ダミーコード）"
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr "回帰分析"
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr "リスク比"
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr "信頼性分析"
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr "反復"
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr "反復測定分散分析"
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr "反復測定分散分析（ノンパラメトリック）"
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr "反復測定セル"
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr "反復測定要因"
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr "反復測定因子"
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr "有意性を報告"
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr "全体平均値を示しています"
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr "基準レベルの値を示しています"
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr "残差"
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr "残差共分散"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr "残差共分散 – 修正指数"
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr "残差推定値"
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr "残差切片"
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr "残差共分散"
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr "残差の切片"
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr "残差プロット"
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr "残差2乗和と自由度のいずれかまたは両方が0です。これは完全な一致を意味します"
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr "残差"
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr "残差プロット"
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr "相関行列の残差"
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr "分散分析の残差"
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr "相関行列の残差"
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr "結果"
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr "逆転項目"
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr "回転法"
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr "行"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr "行変数「{var}」が1水準しかありません"
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr "行"
+
+#: R/conttables.b.R
+msgid "Rows compared"
+msgstr "比較行"
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr "ロイの最大根"
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr "R²"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr "R²<sub>コックス</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr "R²<sub>マク</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr "R²<sub>ナゲ</sub>"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr "標準偏差"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr "標準誤差"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr "差の標準誤差"
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr "SRMR"
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr "負荷量2乗和"
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr "標本サイズ"
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr "保存"
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr "尺度分析"
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr "尺度信頼性統計量"
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr "尺度統計量"
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr "最初の係数を1に固定"
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr "シェフェ"
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr "主成分得点"
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr "因子得点"
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr "主成分得点"
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr "因子{i}の因子得点。’{fsMethod}’法による推定値。"
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr "スクリープロット"
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr "スクリープロット"
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr "部分相関"
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr "部分相関係数"
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr "感度"
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr "シャピロ=ウィルク検定"
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr "シャピロ=ウィルクの多変量正規性検定"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr "シャピロ=ウィルクのW"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr "シャピロ=ウィルク（p値）"
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr "シャピロ=ウィルク検定"
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr "シャピロ=ウィルクの多変量正規性検定"
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr "横並び"
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr "単純"
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr "シンプリマックス"
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr "乱数"
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr "特異適合が発生しました。1つまたは複数の予測変数が他の予測変数の線形結合になっています。"
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr "特異点エラーです。球面性の検定ができません"
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr "歪度"
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr "負荷量順に並び替え"
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr "スピアマンの順位相関係数"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr "スピアマンの順位相関係数"
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr "特異度"
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr "球面性補正"
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr "球面性補正"
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr "球面性検定"
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr "グループ変数"
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr "2乗マハラノビス距離"
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr "積み上げ"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr "標準化推定値"
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr "標準誤差"
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr "標準偏差"
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr "標準誤差"
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr "標準化推定値"
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr "標準化残差"
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr "標準化推定値"
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr "統計量"
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr "統計量"
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr "標準偏差"
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr "標準誤差（尖度）"
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr "標準誤差（平均値）"
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr "平均値の標準誤差"
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr "標準誤差（歪度）"
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr "スチューデント法"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr "スチューデントのt"
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr "スチューデントの検定"
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr "合計値"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr "2乗和"
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr "2乗和"
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr "合計得点"
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr "要約"
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr "t検定"
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr "TLI"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr "項 1"
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr "項 {0}"
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr "検定値"
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr "適合度検定"
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr "検定結果（tと自由度）"
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr "検定統計量"
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr "検定値"
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr "検定"
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr "球面性検定"
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr "Rに付属の’iris’データセット"
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr "グループ変数「{var}」にデータがありません。"
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr "共分散分析（ANCOVA）は、連続型の従属変数、1つまたは複数の離散型\n"
+"説明変数、および1つまたは複数の連続型共変量の関係を調べるための分析方法\n"
+"です。基本的には分散分析と同じですが、共変量を含む点が異なります。"
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr "分散分析（ANOVA）は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法です。"
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr "分散分析（ANOVA）は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法です。\n"
+"\n"
+"分散分析は、残差が正規分布しており、すべてのグループで分散が等しい\n"
+"ことを仮定します。分散が等しいことを仮定しない場合、代わりにウェルチ\n"
+"の検定を使用できます（ただし、ウェルチの検定で可能なのは、1要因の分析\n"
+"のみです。また、データが正規分布していると仮定しない場合は、ノンパラ\n"
+"メトリック検定（クラスカル=ウォリス検定など）を用いることができます。"
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr "分散分析（ANOVA）は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法です。この「1要因分散分析」の\n"
+"メニューは「通常の」分散分析の簡略版で、要因は1つしか使用できません\n"
+"が、ウェルチ法による分散分析も可能です。ウェルチ法による分散分析\n"
+"では、「すべてのグループで分散が等しい」という前提が必要ないという\n"
+"利点があります。"
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr "分散分析（ANOVA）は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法です。この「1要因分散分析」の\n"
+"メニューは「通常の」分散分析の簡略版で、要因は1つしか使用できませんが、\n"
+"ウェルチ法による分散分析も可能です。ウェルチ法による分散分析では、\n"
+"「すべてのグループで分散が等しい」という前提が必要ないという利点が\n"
+"あります。\n"
+"\n"
+"1要因分散分析のメニューでは、複数の従属変数を指定して、複数の独立した\n"
+"検定を一度に実施することもできます。\n"
+"なお、ウェルチ法の分散分析は、ウェルチ法による対応なしt検定と同じ手法です。"
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr "2項検定は、観察された比率が期待値に一致するという帰無仮説を検定するための方法です。小さなp値は、帰無仮説が偽、つまり実際の比率が期待値とは異なることを示します。"
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "フリードマン検定は、同じ参加者から複数の測定値が得られている場合に、連続型の従属変数と離散型説明変数の間の関係性を探索するための分析方法です。反復測定分散分析に似ていますが、ノンパラメトリック検定であり、正規性や分散等質性の仮定が必要ないという利点があります。ただし、この検定で分析可能なのは、1つの要因による影響のみに限られます。"
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "クラスカル=ウォリス検定は、連続型の従属変数と離散型説明変数との関係を調べるための方法です。分散分析と似ていますが、これはノンパラメトリック検定で、分析に必要な前提がより少なくすむという利点があります。ただし、この検定で分析可能なのは、1つの要因による影響のみに限られます。"
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr "反復測定分散分析は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法ですが、とくに説明変数の\n"
+"1つまたは複数が同じ参加者から繰り返し得られている場合に用いられ\n"
+"ます。なお、この分析メニューでは共変量を用いることができるため、\n"
+"反復測定共分散分析を実施することも可能です。"
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr "反復測定分散分析は、連続型の従属変数と、1つまたは複数の離散型\n"
+"説明変数との関係を調べるための分析方法ですが、とくに説明変数の\n"
+"1つまたは複数が同じ参加者から繰り返し得られている場合に用いられ\n"
+"ます。なお、この分析メニューでは共変量を用いることができるため、\n"
+"反復測定共分散分析を実施することも可能です。\n"
+"\n"
+"この分析では、参加者1名分のデータが1行に入力された「ワイド形式」\n"
+"であることが必要です（各測定値が測定条件ごとに別の行に入力されて\n"
+"いるものはロング形式と呼ばれます）。\n"
+"\n"
+"反復測定分散分析に相当するノンパラメトリック検定としては、フリード\n"
+"マン検定があります。ただし、フリードマン検定で分析できるのは、\n"
+"1要因の影響のみです。"
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr "スチューデントの対応なしt検定（独立標本t検定）は、2つのグループで平均値が\n"
+"等しいという帰無仮説を検定するための分析方法です。小さなp値は、帰無仮説が\n"
+"真ではない、つまりグループ間で平均が異なる可能性を示します。"
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr "スチューデントの対応なしt検定（独立標本t検定）は、2つのグループで平均値が\n"
+"等しいという帰無仮説を検定するための分析方法です。小さなp値は、帰無仮説が\n"
+"真ではない、つまりグループ間で平均が異なる可能性を示します。\n"
+"\n"
+"スチューデントの対応なしt検定は、各グループのデータが正規分布からのもので、\n"
+"両グループの分散が等しいことを仮定しています。グループの分散が等しいと\n"
+"仮定しない場合は、ウェルチ法のt検定を用いることができます。さらに、\n"
+"各グループのデータが正規分布からのものであると仮定しない場合は、\n"
+"ノンパラメトリック検定であるマン=ホイットニー検定を代わりに使用することも\n"
+"できます（ただし、マン=ホイットニーのU検定は、両グループの分布が等しい\n"
+"という、わずかに異なる帰無仮説を用いる点には注意が必要です）。"
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr "スチューデントの1標本t検定は、真の平均値が特定の値（通常は0）に等しいと\n"
+"いう帰無仮説を検定するための分析方法です。低いp値は、帰無仮説が真では\n"
+"ない、つまり真の平均が検定値と異なる可能性を示します。"
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr "スチューデントの1標本t検定は、真の平均値が特定の値（通常は0）に等しい\n"
+"という帰無仮説を検定するための分析方法です。低いp値は、帰無仮説が真では\n"
+"ない、つまり真の平均が検定値と異なる可能性を示します。\n"
+"\n"
+"スチューデントの1標本t検定は、データが正規分布であることを仮定して\n"
+"いますが、これを仮定しない場合には、ノンパラメトリック検定である\n"
+"ウィルコクソン符号順位検定を代わりに使用することができます（ただし、\n"
+"ウィルコクソン符号順位検定は「*中央値*が検定値と等しい」という、若干\n"
+"異なる帰無仮説を用いる点には注意が必要です）。"
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr "スチューデントの対応ありt検定は、測定値ペアの差が0である\n"
+"という帰無仮説を検定するための分析方法です。小さなp値は、\n"
+"帰無仮説が真ではなく、測定ペアの差が0ではない可能性を示\n"
+"します。"
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr "スチューデントの対応ありt検定は、測定値ペアの差が0であるという\n"
+"帰無仮説を検定するための分析方法です。小さなp値は、帰無仮説が\n"
+"真ではなく、測定ペアの差が0ではない可能性を示します。\n"
+"\n"
+"スチューデントの対応ありt検定は、ペアの差が正規分布に従うことを\n"
+"仮定していますが、これを仮定しない場合は、ノンパラメトリック\n"
+"検定であるウィルコクソン符号順位検定を代わりに使用することが\n"
+"できます（ただし、ウィルコクソン符号順位検定は、両グループの\n"
+"測定値が同じ分布に従うという、わずかに異なる帰無仮説を使用する\n"
+"点には注意が必要です）。"
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr "カットオフ値 = {}"
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr "従属変数「{dep}」には2水準しかありません。2項ロジスティック回帰の使用を検討してください。"
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr "従属変数「{dep}」は次の順に並んでいます：{orderedLevels}"
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr "従属変数「{}」が2水準を超えています。2項ロジスティック回帰は従属変数が2水準の場合のみ実行可能です。"
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr "反復測定要因の水準数が2です。反復測定要因が2水準しかない場合、球面性の前提はつねに満たされます"
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr "反復測定要因の水準数が2です。反復測定要因が2水準しかない場合、球面性の前提はつねに満たされます。"
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr "`aov`オブジェクト"
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr "変数 {var} を数値として扱うことができません。そのため、この変数については数値データを想定したグラフは作成されません。"
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr "変数 {var} を数値として扱うことができません。そのため、これらの変数については数値データを想定したグラフは作成されません。"
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr "χ²適合度検定（χ²独立性検定と混同しないように）は、観察された比率が期待比率に一致するという帰無仮説について検定する方法です。小さなp値は、帰無仮説が偽、つまり実際の比率が期待値とは異なることを示します。"
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr "χ²独立性検定（χ²適合度検定と混同しないように）は、2つの離散型変数が独立かどうかについて検定するための方法です。p値が小さければ、2つの変数は独立ではなく、何らかの関連がある可能性を示します。"
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr "理論的分位点"
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr "このモジュールはjamoviの基本モジュールで、t検定、分散分析、回帰分析、相関行列、比率検定、分割表、因子分析など、一般的な分析が数多く含まれています。"
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr "閾値"
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr "閾値"
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr "サーストン"
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr "トレランス"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr "データが少なすぎて統計量を算出できません（N < 3）"
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr "観測値が少なすぎて統計量を算出できません。各グループ（各下位グループ）には、少なくとも従属変数の数と同じ個数の観測値が含まれていなければなりません。"
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr "標本サイズが小さすぎて統計量を算出できません（N < 3）"
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr "サンプルサイズが小さすぎて統計量を算出できません（N < {n}）"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr "データが多すぎて統計量を算出できません（N > 5000）"
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr "標本サイズが大きすぎて統計量を算出できません（N > 5000）"
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr "サンプルサイズが大きすぎて統計量を算出できません（N > {n}）"
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr "歯の成長データ"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr "全体"
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr "テューキー"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr "テューキー（等分散）"
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr "多重比較（テューキー法）- {dep}"
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr "タイプ1"
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr "タイプ2"
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr "タイプ3"
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr "タイプ3の2乗和を使用しています"
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr "タイプ{ssType}の2乗和を使用しています"
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr "連続型変数でグループに分割することはできません"
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr "独自性"
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr "単変量検定"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr "上限"
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr "VIF"
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr "値 "
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr "度数として処理"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr "変数"
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr "変数「{var}」にデータがありません"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr "変数に無限値が含まれています"
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr "変数に十分な数のデータが含まれていません"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr "変数値が数値ではありません"
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr "変数"
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr "列に変数を配置"
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr "行に変数を配置"
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr "変数値は2水準以上でなければなりません"
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr "分散"
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr "分散"
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr "バリマックス"
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr "バイオリン図"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr "W"
+
+#: R/linreg.b.R
+msgid "Weighted by '{varName}'"
+msgstr "‘{varName}’による重みづけあり"
+
+#: linReg/options/weights.title
+msgid "Weights (optional)"
+msgstr "重みづけ（オプション）"
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr "ウェルチ法"
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr "ウェルチのt"
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr "ウィルコクソンのW"
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr "ウィルコクソン順位"
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr "ウィルコクソンの符号順位検定"
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr "ウィルクスのラムダ"
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr "参加者内効果"
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr "横軸"
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr "横軸"
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr "縦軸"
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr "縦軸"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr "Z"
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr "使用する2乗和のタイプを`’1’`、`’2’`、または`’3’`（初期値）で指定します"
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr "使用する2乗和のタイプを`2`または`3`（初期値）で指定します"
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr "`’Thurstone’` (サーストン法：初期値)、`’Bartlett’`（バートレット法）、`’tenBerge’`（テン・ベルヘ法）、`’Anderson’`（アンダーソン=ルビン法）、`’Harman’`（ハーマン法）のいずれかから因子得点の推定法を指定します。"
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr "対立仮説として、`’different’`（グループ1と2で異なる、初期値）、`’oneGreater’`（グループ1がグループ2より大）、`’twoGreater’`（グループ2がグループ1より大）のいずれか1つを指定します"
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr "対立仮説を`’different’`（2つの測定値に差がある、初期値）、`’oneGreater’`（測定値1が大きい）、`’twoGreater’`（測定値2が大きい）のいずれかから選択します"
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr "対立仮説を`’dt’`（`testValue`と異なる、初期値）、`’gt’`（`testValue`より大）、`’lt’`（`testValue`より小）のいずれかに指定します"
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr "モデルに与える制約を`’facVar’`または`’facInd’`で指定します。`’facVar’`では因子の分散が1に固定されます。`’facInd’`では、各因子の最初の係数が1に固定されます。"
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr "欠損値の処理方法を`’listwise’`または`’fiml’`で指定します。`’listwise’`では、欠損値が1つでも含まれる行のデータはその分析から除外されます。`’fiml’`では最大情報最尤推定法を用いてモデルの推定を行います。"
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr "グラフにおける誤差線を、`means`（平均値：初期値）または`medians`（中央値）で指定します"
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr "因子の抽出法として`’minres’`（最小残差法、初期値）、`’ml’`（最尤法）、`’pa’`（主因子法）のいずれかを指定します"
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr "`’none’`（誤差線なし）、`’ci’`（信頼区間、初期値）、または`’se’`（標準誤差）を指定します"
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr "事後検定の方法について、`’none’`（事後検定なし）、`’gamesHowell’`（分散の等質性を仮定しないゲームス=ハウエルの事後検定）、`’tukey’`（分散の等質性を仮定したテューキーの事後検定）のいずれか1つを指定します"
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr "推定に使用する因子回転法を`’none’`（なし）、`’varimax’`（バリマックス、初期値）、`’quartimax’`（クォーティマックス）、`’promax’`（プロマックス）、`’oblimin’`（オブリミン）、`’simplimax’`（シンプリマックス）から指定します"
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr "推定に使用する因子回転法を`’none’`（なし）、`’varimax’`（バリマックス）、`’quartimax’`（クォーティマックス）、`’promax’`（プロマックス）、`’oblimin’`（オブリミン、初期値）、`’simplimax’`（シンプリマックス）から指定します"
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr "対立仮説として`’notequal’`（等しくない、初期値）、`’greater’`（より大）、`’less’`（より小）のいずれかを指定します"
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr "因子数の決定方法を`’parallel’`（平行分析、初期値）、`’eigen’`（固有値）、`’fixed’`（数値指定）から指定します"
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr "`’perAnalysis’`または`’listwise’`で欠損値の取り扱いを指定します。`’perAnalysis’`は従属変数の欠損値を分析ごとに除外します。`’listwise’`は欠損値が1つでも含まれている行をすべての分析から除外します"
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr "`’perAnalysis’`または`’listwise’`で欠損値の取り扱いを指定します。`’perAnalysis’`は従属変数の欠損値を分析ごとに除外します。`’listwise’`は欠損値が1つでも含まれている行をすべての分析から除外します。"
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr "切片のコーディング方法を`’refLevel’`（基準レベル、初期値）または`’grandMean’`（全体平均）で指定します。ここでの指定方法によって、切片が基準レベルを示すか、全体平均値を示すかが決まります"
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr "記述統計量の表で、各変数を`’rows’`（行）に配置するか`’columns’`（列、初期値）に配置するかを指定します"
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr "`共分散分析 - ${dep}`"
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr "`分散分析 - ${dep}`"
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr "`モデル係数 - ${ dep }`"
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr "`モデル係数 - ${dep}`"
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr "`比率 - ${var}`"
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr "スチューデントのt検定を実施するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr "分散の等質性を仮定しないウェルチ法による1要因分散分析を実施するかどうかについて、`TRUE`（初期値）または`FALSE`で指定します"
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr "モデル推定における’Z’と’p’の表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "モデルの赤池情報量規準（AIC）を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr "クロンバックのαを表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr "ピアソンの相関係数（r）を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr "推定モデルと完全モデルの一致度についてのカイ2乗検定の有無を`TRUE`（初期値）または`FALSE`で指定します"
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr "周辺平均値の信頼区間を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr "推定周辺平均値のグラフを作成するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr "分散・共分散の推定値を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr "残差の分散・共分散の推定値を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr "事後検定における平均値の差を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr "有意確率を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr "事後検定における有意確率を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr "モデルの逸脱度（すなわち-2×対数尤度）を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr "平均値を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr "中央値を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr "帰無モデルと分析モデルの比較を行うかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr "欠損値の個数を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr "標本サイズを算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr "標準偏差を表示するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr "モデルの`R2乗`（決定係数）を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr "モデルの`R`（重相関係数）を算出するかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr "χ² 値の表示の有無を`TRUE`（初期値）または`FALSE`で指定します"
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr "各セルを均等に重みづけするかどうかを`TRUE`（初期値）または`FALSE`で指定します"
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr "棒グラフに度数を追加するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr "箱ひげ図に平均値を示すかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr "有意な相関係数に印をつけるかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr "有意な事後検定結果に印をつけるかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr "分散の等質性を仮定したフィッシャー法の分散分析を実施するかどうかについて、`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr "分散等質性についてのルビーン検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr "分散等質性についてのルビーン検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr "マン=ホイットニーのU検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr "シャピロ=ウィルク正規性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr "シャピロ=ウィルク正規性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr "シャピロ=ウィルク正規性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr "シャピロ=ウィルク正規性検定の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr "ウェルチのt検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr "ウィルコクソンの符号順位検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr "残差についてシャピロ=ウィルク検定を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr "等質性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr "多重比較を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr "球面性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr "周辺平均値に加えてデータをプロットするかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "モデルのAIC（赤池情報量規準）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr "ベイズ因子を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr "モデルのBIC（ベイズ情報量規準）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr "ベイズ信頼区間（信用区間）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr "ボックスのM検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr "ロジットの線形性について、ボックス=ティドウェル（Box-Tidwell）検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr "コーエンのd効果量を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr "フィッシャーの正確確率検定の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr "ケンドールの順位相関係数（τ-b）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr "マンテル=ヘンツェルの傾向検定の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr "マクドナルドのωを表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr "ファイ係数およびクラメールのVの算出の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr "Q-Qプロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr "残差Q-Qプロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr "モデルのRMSE（誤差2乗平均平方根）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr "シャピロ=ウィルク検定のp値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr "シャピロ=ウィルク検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr "スピアマンの順位相関係数（ρ）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr "共線性統計量としてVIF（分散拡大係数）およびトレランスを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr "多変量正規Q-Qプロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr "残差Q-Qプロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr "ROC曲線のグラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr "モデル係数の推定値について信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr "オッズ比の信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr "モデル係数の率比について、信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr "標準化推定値について信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr "モデルの係数について信頼区間の算出を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr "モデル推定における信頼区間を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr "相関行列プロットの有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr "相関行列プロットの有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr "カットオフ・プロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr "記述統計量のグラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr "モデルのパス図を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr "予測値の分類表（混同行列）を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します。"
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr "標準化済みの係数を算出するどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr "モデル推定における標準推定値を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr "2つの比率の差について、z検定を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr "正確対数オッズ比を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します（exact2x2のインストールが必要です）"
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr "棒グラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（名義型変数、順序型変数でのみ使用可能です）"
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr "箱ひげ図を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr "列合計に対するパーセントを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr "信頼区間の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr "比較指標の信頼区間の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr "効果量の信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr "平均値の信頼区間の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr "平均値の差の信頼区間の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr "事後検定の効果量について、信頼区間を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr "相関行列プロットに密度曲線を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr "密度曲線を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr "記述統計量のグラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr "記述統計量を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr "データ点プロットを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr "効果量を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr "効果量を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr "推定周辺平均値の表を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr "因子の切片推定値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr "残差切片の推定値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr "度数分布表の有無を`TRUE`または`FALSE`（初期値）で指定します（名義型変数、順序型変数でのみ使用可能です）"
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr "グッドマン=クラスカルのガンマを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr "ヒストグラムを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr "項目の平均値を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr "項目の標準偏差を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr "I-R相関（各項目とそれ以外の項目合計値の相関）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr "平均値と標準偏差を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr "平均値と標準誤差を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr "モデルに含まれるパラメタの修正指標を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr "パーセンタイル値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr "事後分布のグラフの有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr "変位値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr "標準化残差に対する従属変数および各要因値の残差のグラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します。"
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr "ダービン=ワトソンの自己相関検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr "行合計に対するパーセントを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr "相関行列プロットに相関係数を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr "クックの距離の要約統計量を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr "事後検定の検定結果（t値と自由度）を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr "コンティンジェンシー係数の算出の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr "比率の差の表示の有無を`TRUE`または`FALSE`（初期値）で指定します（2行2列の表でのみ使用可能です）"
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr "期待度数の表示の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr "対数オッズ比の指数変換値、すなわちオッズ比の推定値を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr "対数率比の指数変換値、すなわち率比を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr "四分位範囲を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr "尖度を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr "尤度比の表示の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr "対数オッズ比の表示の有無を`TRUE`または`FALSE`（初期値）で指定します（2行2列の表でのみ使用可能です）"
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr "最大値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr "平均値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr "最小値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr "最頻値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr "帰無モデルと分析モデルの比較を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr "標本サイズを表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr "観測度数の表示の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr "オッズ比の表示の有無を`TRUE`または`FALSE`（初期値）で指定します（2行2列の表でのみ使用可能です）"
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr "各説明変数（予測変数）についてANOVAによるオムニバス検定を行うかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr "予測変数についてのオムニバス検定として尤度比検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr "カットオフ値による分類精度を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr "カットオフ値による分類の感度を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr "カットオフ値による分類における特異度を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr "範囲を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr "ROC曲線より下の領域の面積（AUC）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します。"
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr "リスク比の表示の有無を`TRUE`または`FALSE`（初期値）で指定します（2行2列の表でのみ使用可能です）"
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr "観察された相関行列モデルの残差（期待される相関行列と観察された相関行列の差）を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します。"
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr "歪度を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr "標準偏差を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr "標準誤差を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr "モデルの`調整済みR2乗`を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr "合計値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr "従属変数の水準をカットオフ値で分割する際に使用した閾値を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr "分散を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr "総度数に対するパーセントを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr "バイオリン図を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します（連続型変数でのみ使用可能です）"
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr "各項目除外時のクロンバックのαを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr "各項目除外時のマクドナルドのωを算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr "χ² 値の連続性修正の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr "グループの要約を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr "予測値にカットオフ値を設定するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr "バートレットの球面性検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr "標本妥当性（MSA）についてのカイザー=マイヤー=オルキン（KMO）指標を算出するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr "棒グラフを作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr "固有値の表を作成するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr "因子の要約情報を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr "因子間の相関係数を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr "モデル適合度や検定結果を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr "スクリープロット作成の有無を`TRUE`または`FALSE`（初期値）で指定します"
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr "因子負荷量の大きさで結果を並び替えるかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr "`TRUE`または`FALSE`（初期値）で分散等質性についてのルビーン検定の有無を指定します。"
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr "変数に含まれる値を度数として処理するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr "期待度数を表示するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr "モデル全体の検定を実施するかどうかを`TRUE`または`FALSE`（初期値）で指定します"
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr "リスク比を比較する方向を`columns`（列）または`rows`（行、初期値）で指定します（2行2列の表でのみ使用可能です）"
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr "偏相関（部分相関）係数行列の表です"
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr "算出するパーセンタイルの値をコンマ区切りのリスト（初期値：25,50,75）で指定します"
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr "相関行列プロットです"
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr "相関行列の表です"
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr "記述統計量のグラフです"
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr "推定周辺平均値を算出する項を含む式です（例を参照してください）"
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr "周辺平均値を算出する項を含む式です。各項につき3変数まで指定できます"
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr "事後検定を実施する項を含んだ式です（例を参照してください）"
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr "モデルに含める項の記述式です（式を用いる場合は不要です。例を参照してください）"
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr "因子の`label`と、その因子に含まれる`vars`の名前を記述したリストで構成されたリストです"
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr "モデルに追加された予測変数（説明変数）の名前を含む文字列ベクトルのリストです。各要素はこのリストに示されている順にモデルに追加されます"
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr "モデルに含まれる参加者間項を記述した文字ベクトルのリストを指定します"
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr "計算すべき事後検定について記述した文字リストを指定します"
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr "モデルに含まれる反復測定項を記述した文字ベクトルのリストを指定します"
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr "モデルに含まれる全要因と従属変数（目的変数）の基準レベルを指定したリストで構成されるリストです"
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr "使用する対比と要因を指定したリストで構成されるリストです。`’deviation’`、`’simple’`、`’difference’`、`’helmert’`、`’repeated’`、`’polynomial’`から1つを指定します"
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr "`data`に含まれる測定値ペアを特定するリストで構成されたリストです"
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr "推定すべき残差共分散を指定したリストで構成されるリストです"
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr "周辺推定平均値を算出する変数を指定したリストで構成されたリストを指定します。1つの項につき3変数まで指定可能です。"
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr "`data`に含まれる反復測定因子（要因）を`measure`（文字列）、そして`rm`における特定の水準の組み合わせを`cell`（文字列ベクトル）として記述したリストで構成されたリストです"
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr "反復測定因子の`label`（ラベル：文字列）と`levels`（水準：文字列ベクトル）を含むリストで構成されたリストです"
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr "因子の固有値の最小基準値（初期値：0）を指定します"
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr "`’corRes’`の表で強調する値の基準値（初期値：0.1）を指定します"
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr "結果に表示させる負荷量の最小値（初期値：0.3）を指定します"
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr "結果に表示させる負荷量の最小値（初期値：0.3）を指定します"
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr "帰無仮説に使用する数値（初期値：0.5）を指定します"
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr "事前ベータ分布のパラメータaの値（初期値：1）を指定します"
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr "事前ベータ分布のパラメータbの値（初期値：1）を指定します"
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr "主成分の固有値の最小基準値（初期値：1）を指定します"
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr "`’modIndices’`の表で強調表示する値の基準値（初期値：3）を指定します"
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "ベイズ因子算出の際に使用される事前値です。0.5から2（初期値：0.707）で指定します"
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "ベイズ因子算出の際に使用される事前値です。0.5から2（初期値：0.707）で指定します"
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr "信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr "推定周辺平均値の信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr "推定周辺平均値の信頼区間（`’ci’`）の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr "信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr "ベイズ信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr "信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr "効果量の信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr "事後検定における効果量の信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr "信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr "信頼区間の幅を50から99.9の数値で指定します（初期値：95）"
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr "帰無仮説に使用する数値を指定します"
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr "パラメータa"
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr "`’d’`の値です。事後検定の効果量としてコーエンのdを算出します"
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr "事後検定結果の表です"
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr "比率の表"
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr "Q-Qプロットです"
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr "分析で使用する従属変数用のラベル文字列（初期値：「従属変数」）を指定します"
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr "`data`の変数のうち、測定値の度数が含まれる変数名の文字列です。各行がそれぞれ個別の測定値の場合（1行に1人分の測定値が入力されている場合）には、これはNULLになります"
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr "`data`に含まれる従属変数名の文字列です。変数は因子型である必要があります"
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr "`data`に含まれる従属変数名の文字列です。変数は数値型である必要があります"
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr "`data`における従属変数名を指定します"
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr "`data`における従属変数の変数名です"
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr "`data`におけるグループ変数または独立変数名を指定します"
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr "グループの要約です"
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr "推定周辺平均値の表です"
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr "因子共分散の推定値の表です"
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr "因子切片の推定値の表です"
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr "適合度指標の表です"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr "モデルに含まれていない因子負荷についての修正指数の表です"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr "モデルに含まれていない残差共分散の修正指数についての表です"
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr "残差共分散の推定値の表です"
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr "残差切片の推定値の表です"
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr "相関行列の残差の表です"
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr "適合度検定におけるカイ2乗値の表です"
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr "共線性統計量の表です"
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr "記述統計量の表です"
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr "因子負荷量の表です"
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr "グループ記述統計量の表です"
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr "分散等質性検定の結果の表です"
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr "正規性検定の結果の表です"
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr "正規性検定の結果の表です"
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr "ボックス=ティドウェル（Box-Tidwell）検定結果の表です"
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr "t検定の結果の表です"
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr "共分散分析結果の表です"
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr "分散分析結果の表です"
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr "比較指標の表です"
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr "分散の等質性検定の表です"
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr "等質性検定の表です"
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr "尤度比検定の結果の表です"
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr "モデル係数の閾値の表です"
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr "モデル係数の表です"
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr "正規性検定の表です"
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr "予測値の分類表です"
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr "予測指標の表です"
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr "比率の表"
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr "検定結果の表です"
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr "「名義尺度」変数に関する検定結果の表です"
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr "フリードマン検定の結果の表です"
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr "ケンドールの順位相関係数（τ-b）の検定結果の表です"
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr "マンテル=ヘンツェル傾向性検定の表です"
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr "記述統計量の表です"
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr "ガンマ検定の結果の表です"
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr "多重比較結果の表です"
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr "比率の表です"
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr "比率と検定結果の表です"
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr "検定結果の表です"
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr "χ² 検定の結果の表です"
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr "逆転項目の変数名の文字列を含むベクトルです"
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr "期待比率のベクトルです"
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr "`data`の参加者間因子の名前を文字列ベクトルで指定します"
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr "`data`に含まれる統制変数名を文字列ベクトルで指定します"
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr "`data`の共変量の変数名を含む文字列ベクトルです"
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr "`data`における共変量の名前を文字列ベクトルで指定します。変数値は数値である必要があります"
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr "`data`に含まれる要因名を含む文字列ベクトルです"
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr "`data`に含まれる固定因子名の文字列ベクトルです"
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr "反復測定変数の名前を文字列ベクトルで指定します"
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr "`data`に含まれる関心対象の変数名を文字列ベクトルで指定します"
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr "相関係数を算出したい`data`の変数名を文字列ベクトルで指定します"
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr "`vars`の分割に使用する変数の名前を文字列ベクトルで指定します"
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr "Q-Qプロットの配列です"
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr "対比結果の表の配列です"
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr "記述統計量グラフの配列です"
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr "度数分布表の配列です"
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr "グラフの配列です"
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr "モデルごとの結果の配列です"
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr "多重比較結果の表の配列です"
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr "事後検定結果の表です"
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr "記述統計量のグラフの配列です"
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr "推定周辺平均値のグラフと表の配列です"
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr "事後分布プロットの配列です"
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr "モデルのパス図を含む画像です"
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr "記述統計量のグラフ画像です"
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr "抽出する主成分の数を整数値（初期値：1）で指定します"
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr "抽出する因子の数を整数値（初期値：1）で指定します"
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr "分割数を整数値（初期値：4）で指定します"
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr "パラメータb"
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr "パラメータa"
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr "パラメータb"
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr "列"
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr "個の主成分を抽出"
+
+#: R/pca.b.R
+msgid "components"
+msgstr "主成分"
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr "統制変数：{items}"
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr "3次"
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr "dat <- data.frame(\n"
+"    `1st survey` = c(‘Approve’, ‘Approve’, ‘Disapprove’, ‘Disapprove’),\n"
+"    `2nd survey` = c(‘Approve’, ‘Disapprove’, ‘Approve’, ‘Disapprove’),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  クロス集計表（対応あり）\n"
+"#\n"
+"#  クロス集計表\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    計\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    計             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  マクニマー検定\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                値    自由度    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² 連続性修正値     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# 各行が1つの観測値を表す場合は、式の左（`Counts`）を省略する\n"
+"ことができます。\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  比率の検定（2値）\n"
+"#\n"
+"#  2項検定\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         水準    度数    計    比率    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    注. 対立仮説は 比率 ≠ 0.5 です。\n"
+"#"
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=“Visual”, vars=c(“x1”, “x2”, “x3”)),\n"
+"        list(label=“Textual”, vars=c(“x4”, “x5”, “x6”)),\n"
+"        list(label=“Speed”, vars=c(“x7”, “x8”, “x9”))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  確認的因子分析\n"
+"#\n"
+"#  因子負荷量\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    因子     観測変数    推定値    標準誤差        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  因子推定量\n"
+"#\n"
+"#  因子共分散\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          推定値    標準誤差        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ 値が固定されているパラメタです\n"
+"#\n"
+"#\n"
+"#  モデル適合度\n"
+"#\n"
+"#  適合度検定\n"
+"#  ────────────────────────\n"
+"#    χ²      自由度    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  適合度指標\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     下限     上限\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr "data(‘HairEyeColor’)\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  クロス集計表\n"
+"#\n"
+"#  クロス集計表\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    計\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    計      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² 検定\n"
+"#  ───────────────────────────────\n"
+"#          値    自由度    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# 各行が1つの観測値を表す場合は、式の左（`Freq`）を省略することが\n"
+"できます。\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr "data(‘HairEyeColor’)\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  比率の検定（多値）\n"
+"#\n"
+"#  比率\n"
+"#  ────────────────────────────────\n"
+"#    水準    度数    比率\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² 適合度検定\n"
+"#  ───────────────────────\n"
+"#    χ²     自由度    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data(‘Prestige’, package=‘carData’)\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list(‘education’, ‘prestige’, ‘women’)))\n"
+"\n"
+"#\n"
+"#  線形回帰分析\n"
+"#\n"
+"#  モデル適合度指標\n"
+"#  ───────────────────────────\n"
+"#    モデル    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  個別モデルの結果\n"
+"#\n"
+"#  モデル 1\n"
+"#\n"
+"#\n"
+"#  モデル係数\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    説明変数    推定値    標準誤差         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    切片      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr "data(‘ToothGrowth’)\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  分散分析\n"
+"#\n"
+"#  分散分析\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 2乗和    自由度    2乗平均    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    残差               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # suppとdose:suppの推定周辺平均値\n"
+"    emmPlots = TRUE,              # 周辺平均値のグラフを作成\n"
+"    emmTables = TRUE)             # 周辺平均値の表を作成"
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr "data(‘ToothGrowth’)\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  共分散分析\n"
+"#\n"
+"#  共分散分析\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 ２乗和    自由度    ２乗平均    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    残差              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr "data(‘ToothGrowth’)\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  1要因分散分析（ノンパラメトリック）\n"
+"#\n"
+"#  クラスカル=ウォリス\n"
+"#  ───────────────────────────────\n"
+"#           χ²      自由度    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr "description:\n"
+"main:|\n"
+"data(‘ToothGrowth’)\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  対応なしt検定\n"
+"#\n"
+"#  対応なしt検定\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          統計量    自由度      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    スチューデント t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr "description:\n"
+"main:|\n"
+"data(‘ToothGrowth’)\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  1標本t検定\n"
+"#\n"
+"#  1標本t検定\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           統計量    自由度      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     スチューデント t         19.1    59.0    < .001\n"
+"#    dose    スチューデント t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr "data(‘ToothGrowth’)\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  1要因分散分析\n"
+"#\n"
+"#  1要因分散分析（ウェルチ法）\n"
+"#  ────────────────────────────────────────\n"
+"#           F       自由度1    自由度2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr "data(‘birthwt’, package=‘MASS’)\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(“age”, “bwt”)),\n"
+"          refLevels = list(list(var=“low”, ref=“0”)))\n"
+"\n"
+"#\n"
+"#  2項ロジスティック回帰\n"
+"#\n"
+"#  モデル適合度指標\n"
+"#  ───────────────────────────────────────\n"
+"#    モデル    逸脱度    AIC     R²-マク\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  個別モデルの結果\n"
+"#\n"
+"#  モデル 1\n"
+"#\n"
+"#  モデル係数\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    説明変数          推定値     標準誤差          Z            p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    切片    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    注. 推定値は 「low = 1」vs.「low = 0」の対数オッズ\n"
+"#    です\n"
+"#\n"
+"#"
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "data(‘birthwt’, package=‘MASS’)\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(“age”, “low”)),\n"
+"            refLevels = list(\n"
+"                list(var=“race”, ref=“1”),\n"
+"                list(var=“low”, ref=“0”)))\n"
+"\n"
+"#\n"
+"#  多項ロジスティック回帰\n"
+"#\n"
+"#  モデル適合度指標\n"
+"#  ──────────────────────────────────────\n"
+"#    モデル    逸脱度    AIC    R²-マク\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  個別モデルの結果\n"
+"#\n"
+"#  モデル 1\n"
+"#\n"
+"#  モデル係数\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     説明変数    推定値    標準誤差        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    切片      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    切片      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr "data(‘bugs’, package = ‘jmv’)\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = ‘Frightening’,\n"
+"            levels = c(‘Low’, ‘High’))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = ‘LDLF’,\n"
+"            cell = ‘Low’),\n"
+"        list(\n"
+"            measure = ‘LDHF’,\n"
+"            cell = ‘High’)),\n"
+"    rmTerms = list(\n"
+"        ‘Frightening’))\n"
+"\n"
+"#\n"
+"#  反復測定分散分析\n"
+"#\n"
+"#  参加者内効果\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                2乗和    自由度    2乗平均    F    p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    残差                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    注. タイプ3の2乗和を使用しています。\n"
+"#\n"
+"#\n"
+"#\n"
+"#  参加者間効果\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                2乗和    自由度    2乗平均    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    残差               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    注. タイプ3の2乗和を使用しています。\n"
+"#"
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr "data(‘bugs’, package = ‘jmv’)\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  反復測定分散分析（ノンパラメトリック）\n"
+"#\n"
+"#  フリードマン検定\n"
+"#  ────────────────────────\n"
+"#    χ²      自由度    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data(‘bugs’, package = ‘jmv’)\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = ‘LDLF’, i2 = ‘LDHF’)))\n"
+"\n"
+"#\n"
+"#  対応ありt検定\n"
+"#\n"
+"#  対応ありt検定\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   統計量    自由度      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    スチューデント t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr "data(‘iris’)\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  探索的因子分析\n"
+"#\n"
+"#  因子負荷量\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        独自性\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    注. 「オブリミン」回転後の結果です\n"
+"#"
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data(‘iris’)\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  多変量共分散分析\n"
+"#\n"
+"#  多変量検定\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     値     F       自由度1    自由度2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    ピライのトレース          1.19    53.5      8    290    < .001\n"
+"#               ウィルクスのラムダ         0.0234     199      8    288    < .001\n"
+"#               ホテリングのトレース       32.5     581      8    286    < .001\n"
+"#               ロイの最大根      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  単変量検定\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 従属変数    2乗和    自由度     2乗平均    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    残差    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr "data(‘iris’)\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  主成分分析\n"
+"#\n"
+"#  主成分負荷量\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         独自性\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    注. 「バリマックス」回転後の結果です\n"
+"#"
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr "data(‘iris’)\n"
+"\n"
+"reliability(iris, vars = c(‘Sepal.Length’, ‘Sepal.Width’, ‘Petal.Length’, ‘Petal.Width’),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  信頼性分析\n"
+"#\n"
+"#  尺度信頼性統計量\n"
+"#  ─────────────────────────────────────────\n"
+"#             クロンバックのα    マクドナルドのω\n"
+"#  ─────────────────────────────────────────\n"
+"#    尺度           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data(‘mtcars’)\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  相関行列\n"
+"#\n"
+"#  相関行列\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     ピアソンのr        —    -0.852    -0.848    -0.776\n"
+"#            p値            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     ピアソンのr                  —     0.902     0.832\n"
+"#            p値                     —    < .001    < .001\n"
+"#\n"
+"#    disp    ピアソンのr                            —     0.791\n"
+"#            p値                               —    < .001\n"
+"#\n"
+"#    hp      ピアソンのr                                      —\n"
+"#            p値                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr "data(‘mtcars’)\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  偏相関\n"
+"#\n"
+"#  偏相関\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     ピアソンのr         —\n"
+"#            p値             —\n"
+"#\n"
+"#    cyl     ピアソンのr    -0.590         —\n"
+"#            p値        < .001         —\n"
+"#\n"
+"#    disp    ピアソンのr    -0.606     0.719        —\n"
+"#            p値        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    注. ‘hp’の影響を除いています\n"
+"#"
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "data(‘mtcars’)\n"
+"\n"
+"tab <- table(‘gear’=mtcars$gear, ‘cyl’=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(“gear”, “cyl”, c(“gear”, “cyl”))),\n"
+"          refLevels = list(\n"
+"              list(var=“gear”, ref=“3”),\n"
+"              list(var=“cyl”, ref=“4”)))\n"
+"\n"
+"#\n"
+"#  対数線形回帰\n"
+"#\n"
+"#  モデル適合度指標\n"
+"#  ───────────────────────────────────────\n"
+"#    モデル    逸脱度    AIC     R²-マク\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  個別モデルの結果\n"
+"#\n"
+"#  モデル 1\n"
+"#\n"
+"#  モデル係数\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    説明変数          推定値     標準誤差          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    切片          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr "data(‘mtcars’)\n"
+"dat <- mtcars\n"
+"\n"
+"# 度数分布表は因子型として使用可能です。\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  記述統計量\n"
+"#\n"
+"#  記述統計量\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    欠損値       0       0       0       0\n"
+"#    平均値     20.1    6.19     231    3.69\n"
+"#    中央値     19.2    6.00     196    4.00\n"
+"#    最小値     10.4    4.00    71.1       3\n"
+"#    最大値      33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  度数分布表\n"
+"#\n"
+"#  gearの度数分布表\n"
+"#  ────────────────────\n"
+"#    水準    度数\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# 変数値で分割\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# ヒストグラムの作成\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# 複数の変数で分割\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr "廃止予定"
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr "記述統計量のグラフ"
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr "dev"
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr "自由度"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr "自由度1"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr "自由度2"
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr "変数をここにドラッグ"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr "変数をここにドラッグ"
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr "群に分割"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr "誤差%"
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr "個の因子を抽出"
+
+#: R/pca.b.R
+msgid "factors"
+msgstr "因子"
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr "固定されている値です"
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr "相関係数が有意（p < .05）であるペアに印をつけます。"
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr "事後検定において差が有意な箇所に印をつけます。"
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr "項目除外時の値"
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr "開発中"
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr "グループの要約を作成します"
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr "項目 {item} は尺度全体と負の相関関係にあるため、逆転項目として処理したほうがよいでしょう"
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr "I-R相関"
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr "項目 {items} は尺度全体と負の相関関係にあるため、逆転項目として処理したほうがよいでしょう"
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr "1次"
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr "下限"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr "平均値"
+
+#: R/pca.b.R
+msgid "none"
+msgstr "回転なし"
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr "オブリミン回転"
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr "8次"
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr "全体"
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr "検定の対立仮説を`’corr’`（相関あり、初期値）、`’pos’`（正の相関あり）、`’neg’`（負の相関あり）のいずれかで指定します。"
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr "算出する値として`’part’`（偏相関係数、初期値）と`’semi’`（部分相関係数）のいずれかを指定します。"
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr "`’cfi’`（CFI）、`’tli’`（TLI）、`’srmr’`（SRMR）、`’rmsea’`（RMSEAおよび90%信頼区間）、`’aic’`（調整済AIC）、`’bic’`（BIC）からいずれか1つ、または複数を指定します"
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr "`’eta’`（η²）、`’partEta’`（偏η²）、`’omega’`（ω²）から1つまたは複数を指定します"
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr "球面性検定におけるp値の修正方法について、`’none’`（修正なし、初期値）、`’GG’`（グリーンハウス=ガイザー法）、``HF``（ヒューン=フェルト法）のいずれか1つまたは複数を指定します"
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr "`’none’`（修正なし）、`’tukey’（テューキー、初期値）、`’scheffe’`（シェフェ）、`’bonf’`（ボンフェロニ）、`’holm’`（ホルム）のいずれか1つ、または複数を指定します"
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr "`’none’`（修正なし）、`’tukey’`（テューキー）、`’scheffe’`（シェフェ）、`’bonf’`（ボンフェロニ）、`’holm’`（ホルム）から1つまたは複数を指定します。"
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr "多変量統計量として、`’pillai’`（ピライのトレース）、`’wilks’`（ウィルクスのラムダ）、`’hotel’`（ホテリングのトレース）、`’roy’`（ロイの最大根）のいずれかを指定します"
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr "疑似R²として、`’r2mf’`（マクファデン）、`’r2cs’`（コックス=スネル）、`’r2n’`（ナゲルケルケ）のどれを用いるかを指定します"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr "p"
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr "p値"
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr "p<sub>ボンフェロニ</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr "p<sub>ホルム</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr "p<sub>シェフェ</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr "p<sub>テューキー</sub>"
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr "偏η²"
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr "フィッシャー法による（いわゆる普通の）分散分析を実施します。"
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "シャピロ=ウィルクの正規性検定を実施します。小さなp値はデータが正規分布から抽出されたものでないことを示します。"
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr "シャピロ=ウィルク正規性検定を実施します。低いp値は、残差が正規分布でないことを示しています。"
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr "スチューデントの対応なしt検定を実施します。"
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr "スチューデントの1標本t検定を実施します。"
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr "スチューデントの対応ありt検定を実施します。"
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr "ウェルチ法で分散分析を実施します。"
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr "ウェルチの検定を実施します。"
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr "ウィルコクソンの符号順位検定を実施します。"
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr "マン=ホイットニーのU検定を実施します。"
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "シャピロ=ウィルクの正規性検定を実施します。小さなp値はデータが正規分布から抽出されたものでないことを示します。"
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr "モデル全体の検定を実施します。"
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr "相関行列プロットの対角線上に密度曲線を図示します。"
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr "周辺平均値とあわせてデータをプロットします。"
+
+#: R/pca.b.R
+msgid "promax"
+msgstr "プロマックス回転"
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr "スチューデントの対応なしt検定についてベイズ因子を算出します。"
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr "スチューデントの1標本t検定についてベイズ因子を算出します。"
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr "スチューデントの対応ありt検定についてベイズ因子を算出します。"
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "分散の等質性についてルビーン検定を実施します。低いp値は、両グループの分散が等しくないことを示します。"
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "分散の等質性についてルビーン検定を実施します。低いp値は、両グループの分散が等しくないことを示します。"
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "残差Q-Qプロット（データが*完全な*正規分布である場合に期待される値に対する実際の残差のプロット）を作成します。対角線からの乖離が大きい場合、残差が正規分布していないことを示しています。"
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr "残差Q-Qプロット（データが*完全な*正規分布である場合に期待される値に対する実際の残差のプロット）を作成します。対角線からの乖離が大きい場合、残差が正規分布していないことを示しています。"
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr "事後検定の効果量としてコーエンのdを算出します。"
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr "各変数ペアについてケンドールの順位相関係数（τ-b）を算出します。"
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr "各変数ペアについてピアソンの相関係数（r）を算出します。"
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "残差Q-Qプロット（データが*完全な*正規分布である場合に期待される値に対する実際の残差のプロット）を作成します。対角線からの乖離が大きい場合、残差が正規分布していないことを示します。"
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr "各変数ペアについてスピアマンの順位相関係数（ρ）を算出します。"
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr "推定平均値と検定値の差の信頼区間を算出します。"
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr "相関行列を図示します。"
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr "各相関係数についてp値を算出します。"
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr "各変数についての記述統計量の表を作成します。"
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr "推定周辺平均値の表を作成します。"
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr "ピアソンの相関係数（r）の信頼区間を算出します。"
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr "効果量の信頼区間を算出します"
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr "平均値の差の信頼区間を算出します。"
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr "事後検定の効果量について信頼区間を算出します。"
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr "相関行列プロットに相関係数を示します。"
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr "グループごとの記述統計量のグラフを作成します。"
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr "各変数の記述統計量のグラフを作成します。"
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr "各測定値グループについて記述統計量を算出します。"
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr "グループ毎の記述統計量を算出します。"
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr "記述統計量のグラフを作成します。"
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr "効果量（コーエンのd）を算出します。"
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr "効果量（コーエンのd）を算出します。"
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr "平均値の差とその標準誤差を算出します。"
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr "事後検定における平均値の差を算出します。"
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr "推定平均値と検定値の間の差の平均値および標準誤差を算出します。"
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr "効果量（η²、偏η²、ω²）を算出します。"
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr "球面性検定におけるp値を修正します。"
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr "推定周辺平均値のグラフを作成します。"
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr "事後検定を実施します。"
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr "事後検定における有意確率を算出します。"
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr "球面性検定を実施します。"
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr "事後検定における検定結果（tと自由度）を表示します。"
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr "標本サイズを表示します。"
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr "2次"
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr "4次"
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr "クォーティマックス回転"
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr "5次"
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr "逆転項目"
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr "行"
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr "横軸に`rows`（行、初期値）を示すか`columns`（列）を示すかを指定します"
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr "尺度"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr "標準偏差"
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr "7次"
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(“x1”, “x2”)))\n"
+"\n"
+"#\n"
+"#  順序ロジスティック回帰\n"
+"#\n"
+"#  モデル適合度指標\n"
+"#  ───────────────────────────────────────\n"
+"#    モデル    逸脱度    AIC    R²-マク\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  個別モデルの結果\n"
+"#\n"
+"#  モデル 1\n"
+"#\n"
+"#  モデル係数\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    説明変数    推定値    標準誤差       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr "6次"
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr "シンプリマックス回転"
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr "因子"
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr "棒グラフを積み上げで表示するか横並び（初期値）で表示するかを指定します"
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr "統計量"
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr "t"
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr "t値"
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr "テン・ベルヘ"
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr "%点"
+
+#: linReg/options/weights.description.R
+msgid "the (optional) weights from `data` to be used in the fitting process"
+msgstr "あてはめには`data`からの（最適な）重みづけが使用されます。"
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr "対立仮説と帰無仮説\n"
+"\n"
+"|              | 対立仮説 (Hₐ)  | 帰無仮説 (H₀)          |\n"
+"|———————|—————————|——————————|\n"
+"| ≠ 検定値 | 平均値 ≠ 検定値 | 平均値 = 検定値  |\n"
+"| > 検定値 | 平均値 > 検定値 | 平均値 <= 検定値 |\n"
+"| < 検定値 | 平均値 < 検定値 | 平均値 >= 検定値 |"
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr "対立仮説です。"
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr "対立仮説です。指定方法によって片側検定が可能です。"
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr "参加者間因子（要因）です（オプション）。"
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr "モデルの参加者間項です。"
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr "離散型の説明変数（独立変数）です。"
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr "効果量の信頼区間の幅です。"
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr "事後検定の効果量についての信頼区間の幅です。"
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr "信頼区間の幅です。"
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr "連続型の説明変数（独立変数）です。共変量とも呼ばれます。"
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr "使用する対比を指定します。"
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr "関心対象の統制変数です。"
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr "`data`に含まれる度数です"
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr "共変量です。これを指定すると共分散分析になります。"
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr "`data`に含まれる共変量です"
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr "データフレームのデータ"
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr "`data`に含まれる従属変数（目的変数）です。数値型である必要があります"
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr "`data`に含まれる従属変数です。変数は数値である必要があります（式を用いる場合は不要です。例を参照してください）"
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr "従属変数です。共分散分析では、これらは連続変数になります。"
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr "従属変数です。分散分析では、それらは連続変数です。"
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr "従属変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr "従属変数です。複数の従属変数が指定されている場合は、それぞれの変数について個別のt検定が実施されます。"
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr "従属変数です。分散分析ではこれらは連続変数です。"
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr "周辺平均値のグラフに使用する誤差線を指定します。"
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr "説明変数の共変量です（式を用いる場合は不要です。例を参照してください）"
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr "`data`に含まれる説明要因です（式を用いる場合は不要です。例を参照してください）"
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr "説明変数（独立変数）です。分散分析では、これらは離散変数です。"
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr "説明変数（独立変数）です。分散分析では、それらは離散変数です。"
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr "`data`に含まれる固定因子（要因）です"
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr "2つの水準をもつグループ化変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr "従属変数用のラベルです。"
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr "モデル指定に用いられるlavaanのシンタックスです"
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "欠損値の除外方法です。「分析ごとに除外」では、分析ごとに欠損値を除外します。「行全体を除外」では、行の値が1つでも欠損していた場合、その行のデータをすべての分析から除外します。"
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "欠損値の除外方法です。「分析ごとに除外」では、分析ごとに欠損値を除外します。「行全体を除外」では、行の値が1つでも欠損していた場合、その行のデータをすべての分析から除外します。"
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr "モデルを構成する項です。"
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr "モデルを構成する項です。初期値では完全要因計画モデルが作成されますが、ここでモデルを構成する項を調整することができます。"
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr "測定値のペアを指定します。複数ペアが指定されている場合は、それぞれのペアについて個別にt検定が実施されます。"
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr "事後検定で使用する修正方法を指定します。"
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr "スチューデントのt検定についてベイズ因子を算出する際の幅の事前値です（初期値：0.707）。数値は0.5から2.0の範囲である必要があります。"
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr "反復測定デザインです。"
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr "反復測定された測定値です。"
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr "モデルの反復測定項です。"
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr "推定周辺平均値を算出する項を指定します。ここでは複数の項を指定することができます。"
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr "検定に使用する基準値です（多くの場合0が用いられます）。"
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr "算出する相関係数のタイプです"
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr "使用する2乗和のタイプ（タイプ1、2、3）"
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr "使用する2乗和のタイプ（タイプ2、または3）です。"
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr "`data`に含まれる関心対象の変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr "グループを指定する変数です。グループは2水準である必要があります。"
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "クロス集計表の列として使用する変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "クロス集計表の度数として使用する変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "クロス集計表の行として使用する変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr "関心対象の変数です。複数の変数が指定されている場合は、それぞれについて個別にt検定が実施されます。"
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr "関心対象の変数です。"
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "クロス集計表を分割する基準として使用する変数です（式を用いる場合は不要です。例を参照してください）"
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr "信頼区間の幅です。"
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr "グラフの縦軸に表示する値を、`total_pc`（総度数に対するパーセント、初期値）、`column_pc`（列合計に対するパーセント）、`row_pc`（行合計に対するパーセント）で指定します。"
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr "上限"
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr "値"
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr "統制変数の影響は列の変数からのみ除外されています"
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr "バリマックス回転"
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr "すべてのセルを均等に重みづけします（初期値では、各セルは度数で重みづけされます）。"
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr "列"
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr "行"
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr "グラフの縦軸に表示する値を`ycounts`（度数、初期値）または`ypc`（パーセント）で指定します"
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr "比率の差のz検定"
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr "比率の差のz検定"
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr "z検定は2行2列の表にのみ適用可能です"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr "{ciWidth}%信頼区間下限"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr "{ciWidth}%信頼区間上限"
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr "{ciWidth}%信頼区間 {title}"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr "{ciWidth}%信頼区間"
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr "{ciWidth}%信頼区間"
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr "{item1}および{item2}"
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr "{list}、および{lastItem}"
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr "{list}、{nextItem}"
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr "{n}組のペアが同順位です"
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr "変数 {vars} に基づく{type} 得点"
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr "{varName} （逆転済）"
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr "2項ロジスティックモデル {modelNo} の {varType}"
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr "線形回帰モデル {modelNo} の {varType}"
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr "{} - ケンドールの順位相関係数"
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr "{} - ピアソンの相関係数"
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr "{} - スピアマンの順位相関係数"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr "±%"
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr "R²差分"
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr "ε²"
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr "η²"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr "η²<sub>G</sub>"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr "η²<sub>p</sub>"
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr "η²p"
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr "χ²"
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr "χ² 適合度検定"
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr "χ²適合度検定"
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr "χ² 検定"
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr "連続性の修正"
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr "χ² 検定"
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr "χ²独立性検定"
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr "ω²"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr "⁻ 平均値 - 1SD, <sup>μ</sup> 平均値, ⁺ 平均値 + 1SD"
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr "≠ 検定値"
diff --git a/jamovi/i18n/pt.po b/jamovi/i18n/pt.po
new file mode 100644
index 00000000..8b04afc6
--- /dev/null
+++ b/jamovi/i18n/pt.po
@@ -0,0 +1,7923 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2021-07-29 16:59:59+01000\n"
+"Language: pt\n"
+"Plural-Forms: nplurals=2; plural=(n != 1)\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr ""
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr ""
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr ""
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr ""
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.notes.p
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr ""
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr ""
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr ""
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr ""
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr ""
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr ""
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr ""
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr ""
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr ""
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr ""
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr ""
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr ""
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr ""
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr ""
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr ""
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr ""
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr ""
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr ""
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr ""
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr ""
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr ""
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr ""
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr ""
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr ""
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr ""
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr ""
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr ""
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr ""
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr ""
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr ""
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr ""
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr ""
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr ""
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr ""
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr ""
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr ""
+
+#: jamovi/js/linreg.events.js:4
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr ""
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr ""
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr ""
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr ""
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr ""
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr ""
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr ""
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr ""
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr ""
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr ""
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr ""
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr ""
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr ""
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr ""
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr ""
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr ""
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr ""
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr ""
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr ""
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr ""
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr ""
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr ""
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr ""
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr ""
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr ""
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr ""
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr ""
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr ""
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr ""
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr ""
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr ""
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr ""
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr ""
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr ""
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr ""
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr ""
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr ""
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr ""
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr ""
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr ""
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr ""
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr ""
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr ""
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr ""
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr ""
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr ""
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr ""
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr ""
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr ""
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr ""
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr ""
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr ""
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr ""
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr ""
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr ""
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr ""
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr ""
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr ""
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr ""
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr ""
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr ""
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr ""
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr ""
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr ""
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr ""
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr ""
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr ""
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr ""
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr ""
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr ""
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr ""
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr ""
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr ""
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr ""
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr ""
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr ""
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr ""
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr ""
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr ""
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr ""
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr ""
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr ""
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr ""
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr ""
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr ""
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr ""
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr ""
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr ""
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr ""
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr ""
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr ""
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr ""
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr ""
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr ""
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr ""
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr ""
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr ""
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr ""
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr ""
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr ""
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr ""
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr ""
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr ""
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr ""
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr ""
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr ""
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr ""
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr ""
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr ""
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr ""
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr ""
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr ""
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr ""
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr ""
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr ""
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr ""
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr ""
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr ""
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr ""
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr ""
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr ""
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr ""
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr ""
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr ""
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr ""
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr ""
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr ""
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr ""
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr ""
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr ""
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr ""
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr ""
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr ""
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr ""
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr ""
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr ""
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr ""
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr ""
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr ""
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr ""
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr ""
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr ""
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr ""
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr ""
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr ""
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr ""
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr ""
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr ""
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr ""
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr ""
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr ""
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr ""
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr ""
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr ""
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr ""
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr ""
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr ""
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr ""
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr ""
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr ""
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr ""
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr ""
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr ""
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr ""
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr ""
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr ""
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr ""
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr ""
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr ""
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr ""
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr ""
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr ""
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr ""
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr ""
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr ""
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr ""
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr ""
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr ""
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr ""
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr ""
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr ""
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr ""
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr ""
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr ""
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr ""
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr ""
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr ""
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr ""
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr ""
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr ""
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr ""
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr ""
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr ""
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr ""
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr ""
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr ""
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr ""
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr ""
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr ""
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr ""
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr ""
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr ""
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr ""
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr ""
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr ""
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr ""
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr ""
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr ""
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr ""
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr ""
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr ""
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr ""
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr ""
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr ""
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr ""
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr ""
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr ""
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr ""
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr ""
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr ""
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr ""
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr ""
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr ""
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr ""
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr ""
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr ""
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr ""
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr ""
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr ""
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr ""
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr ""
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr ""
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr ""
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr ""
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr ""
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr ""
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr ""
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr ""
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr ""
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr ""
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr ""
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr ""
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr ""
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr ""
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr ""
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr ""
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr ""
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr ""
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr ""
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr ""
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr ""
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr ""
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr ""
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr ""
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr ""
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr ""
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr ""
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr ""
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr ""
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr ""
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr ""
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr ""
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr ""
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr ""
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr ""
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr ""
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr ""
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr ""
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr ""
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr ""
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr ""
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr ""
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr ""
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr ""
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr ""
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr ""
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr ""
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr ""
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr ""
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr ""
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr ""
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr ""
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr ""
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr ""
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr ""
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr ""
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr ""
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr ""
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr ""
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr ""
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr ""
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr ""
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr ""
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr ""
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr ""
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr ""
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr ""
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr ""
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr ""
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr ""
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr ""
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr ""
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr ""
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr ""
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr ""
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr ""
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr ""
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr ""
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr ""
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr ""
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr ""
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr ""
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr ""
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr ""
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr ""
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr ""
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr ""
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr ""
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr ""
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr ""
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr ""
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr ""
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr ""
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr ""
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr ""
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr ""
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr ""
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr ""
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr ""
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr ""
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr ""
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr ""
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr ""
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr ""
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr ""
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr ""
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr ""
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr ""
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr ""
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr ""
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr ""
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr ""
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr ""
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr ""
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr ""
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr ""
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr ""
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr ""
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr ""
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr ""
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr ""
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr ""
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr ""
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr ""
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr ""
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr ""
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr ""
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr ""
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr ""
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr ""
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr ""
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr ""
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr ""
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr ""
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr ""
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr ""
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr ""
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr ""
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr ""
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr ""
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr ""
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr ""
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr ""
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr ""
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr ""
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr ""
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr ""
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr ""
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr ""
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr ""
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr ""
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr ""
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr ""
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr ""
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr ""
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr ""
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr ""
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr ""
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr ""
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr ""
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr ""
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr ""
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr ""
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr ""
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr ""
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr ""
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr ""
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr ""
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr ""
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr ""
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr ""
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr ""
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr ""
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr ""
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr ""
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr ""
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr ""
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr ""
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr ""
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr ""
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr ""
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr ""
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr ""
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr ""
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr ""
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr ""
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr ""
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr ""
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr ""
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr ""
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr ""
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr ""
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr ""
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr ""
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr ""
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr ""
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr ""
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr ""
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr ""
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr ""
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr ""
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr ""
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr ""
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr ""
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr ""
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr ""
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr ""
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr ""
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr ""
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr ""
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr ""
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr ""
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr ""
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr ""
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr ""
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr ""
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr ""
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr ""
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr ""
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr ""
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr ""
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr ""
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr ""
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr ""
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr ""
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr ""
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr ""
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr ""
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr ""
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr ""
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr ""
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr ""
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr ""
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr ""
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr ""
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr ""
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr ""
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr ""
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr ""
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr ""
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr ""
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr ""
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr ""
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr ""
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr ""
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr ""
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr ""
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr ""
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr ""
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr ""
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr ""
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr ""
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr ""
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr ""
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr ""
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr ""
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr ""
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr ""
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr ""
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr ""
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr ""
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr ""
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr ""
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr ""
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr ""
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr ""
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr ""
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr ""
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr ""
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr ""
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr ""
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr ""
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr ""
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr ""
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr ""
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr ""
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr ""
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr ""
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr ""
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr ""
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr ""
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr ""
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr ""
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr ""
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr ""
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr ""
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr ""
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr ""
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr ""
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr ""
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr ""
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr ""
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr ""
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr ""
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr ""
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr ""
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr ""
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr ""
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr ""
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr ""
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr ""
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr ""
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr ""
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr ""
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr ""
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr ""
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr ""
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr ""
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr ""
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr ""
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr ""
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr ""
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr ""
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr ""
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr ""
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr ""
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr ""
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr ""
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr ""
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr ""
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr ""
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr ""
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr ""
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr ""
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr ""
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr ""
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr ""
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr ""
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr ""
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr ""
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr ""
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr ""
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr ""
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr ""
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr ""
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr ""
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr ""
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr ""
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr ""
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr ""
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr ""
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr ""
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr ""
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr ""
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr ""
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr ""
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr ""
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr ""
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr ""
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr ""
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr ""
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr ""
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr ""
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr ""
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr ""
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr ""
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr ""
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr ""
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr ""
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr ""
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr ""
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr ""
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr ""
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr ""
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr ""
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr ""
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr ""
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr ""
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr ""
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr ""
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr ""
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr ""
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr ""
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr ""
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr ""
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr ""
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr ""
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr ""
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr ""
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr ""
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr ""
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr ""
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr ""
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr ""
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr ""
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr ""
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr ""
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr ""
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr ""
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr ""
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr ""
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr ""
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr ""
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr ""
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr ""
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr ""
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr ""
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr ""
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr ""
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr ""
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr ""
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr ""
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr ""
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr ""
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr ""
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr ""
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr ""
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr ""
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr ""
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr ""
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr ""
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr ""
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr ""
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr ""
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr ""
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr ""
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr ""
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr ""
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr ""
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr ""
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr ""
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr ""
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr ""
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr ""
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr ""
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr ""
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr ""
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr ""
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr ""
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr ""
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr ""
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr ""
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr ""
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr ""
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr ""
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr ""
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr ""
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr ""
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr ""
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr ""
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr ""
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr ""
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr ""
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr ""
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr ""
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr ""
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr ""
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr ""
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr ""
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr ""
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr ""
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr ""
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr ""
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr ""
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr ""
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr ""
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr ""
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr ""
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr ""
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr ""
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr ""
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr ""
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr ""
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr ""
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr ""
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr ""
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr ""
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr ""
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr ""
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr ""
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr ""
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr ""
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr ""
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr ""
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr ""
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr ""
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr ""
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr ""
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr ""
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr ""
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr ""
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr ""
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr ""
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr ""
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr ""
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr ""
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr ""
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr ""
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr ""
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr ""
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr ""
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr ""
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr ""
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr ""
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr ""
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr ""
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr ""
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr ""
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr ""
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr ""
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr ""
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr ""
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "compared"
+msgstr ""
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "components"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr ""
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr ""
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr ""
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr ""
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr ""
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr ""
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr ""
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr ""
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr ""
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr ""
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr ""
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr ""
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr ""
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr ""
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr ""
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr ""
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr ""
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr ""
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr ""
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr ""
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr ""
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr ""
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr ""
+
+#: R/pca.b.R
+msgid "factors"
+msgstr ""
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr ""
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr ""
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr ""
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr ""
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr ""
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr ""
+
+#: R/pca.b.R
+msgid "none"
+msgstr ""
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr ""
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr ""
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr ""
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr ""
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr ""
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr ""
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr ""
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr ""
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr ""
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr ""
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr ""
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr ""
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr ""
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr ""
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr ""
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr ""
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr ""
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr ""
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr ""
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr ""
+
+#: R/pca.b.R
+msgid "promax"
+msgstr ""
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr ""
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr ""
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr ""
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr ""
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr ""
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr ""
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr ""
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr ""
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr ""
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr ""
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr ""
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr ""
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr ""
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr ""
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr ""
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr ""
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr ""
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr ""
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr ""
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr ""
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr ""
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr ""
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr ""
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr ""
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr ""
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr ""
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr ""
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr ""
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr ""
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr ""
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr ""
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr ""
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr ""
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr ""
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr ""
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr ""
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr ""
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr ""
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr ""
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr ""
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr ""
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr ""
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr ""
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr ""
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr ""
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr ""
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr ""
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr ""
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr ""
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr ""
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr ""
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr ""
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr ""
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr ""
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr ""
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr ""
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr ""
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr ""
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr ""
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr ""
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr ""
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr ""
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr ""
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr ""
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr ""
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr ""
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr ""
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr ""
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr ""
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr ""
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr ""
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr ""
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr ""
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr ""
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr ""
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr ""
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr ""
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr ""
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr ""
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr ""
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr ""
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr ""
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr ""
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr ""
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr ""
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr ""
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr ""
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr ""
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr ""
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr ""
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr ""
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr ""
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr ""
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr ""
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr ""
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr ""
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr ""
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr ""
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr ""
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr ""
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr ""
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr ""
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr ""
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr ""
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr ""
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr ""
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr ""
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr ""
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr ""
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr ""
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr ""
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr ""
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr ""
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr ""
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr ""
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr ""
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr ""
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr ""
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr ""
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr ""
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr ""
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr ""
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr ""
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr ""
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr ""
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr ""
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr ""
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr ""
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr ""
diff --git a/jamovi/i18n/zh-cn.po b/jamovi/i18n/zh-cn.po
new file mode 100644
index 00000000..7f54bd59
--- /dev/null
+++ b/jamovi/i18n/zh-cn.po
@@ -0,0 +1,8651 @@
+msgid ""
+msgstr ""
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
+"PO-Revision-Date: 2021-07-29 16:59:59+01000\n"
+"Language: zh-cn\n"
+"Plural-Forms: nplurals=2; plural=(n != 1)\n"
+
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
+#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
+#: cfa/ui[3][1][0]/ci/ciWidth.suffix
+#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
+#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
+#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
+#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
+#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
+msgid "%"
+msgstr "%"
+
+#: R/logregbin.b.R
+msgid "% Correct"
+msgstr "正确%"
+
+#: R/descriptives.b.R
+msgid "% of Total"
+msgstr "合计%"
+
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "% of Variance"
+msgstr "方差%"
+
+#: R/conttables.b.R
+msgid "% of total"
+msgstr "合计%"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within column"
+msgstr "列%"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "% within row"
+msgstr "行%"
+
+#: R/errors.R
+msgid "'{col}' contains infinite values"
+msgstr "“{col}”包含无限值"
+
+#: R/errors.R
+msgid "'{col}' contains missing values"
+msgstr "“{col}”包含缺失值"
+
+#: R/errors.R
+msgid "'{col}' contains only missing values"
+msgstr "“{col}”全为缺失值"
+
+#: R/errors.R
+msgid "'{col}' contains only one unique value"
+msgstr "“{col}”仅包含唯一值"
+
+#: R/pca.b.R
+msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
+msgstr "“{method}”提取法和“{rotation}”旋转法相结合使用"
+
+#: R/pca.b.R
+msgid "'{rotation}' rotation was used"
+msgstr "“{rotation}”进行旋转"
+
+#: R/linreg.b.R
+msgid "'{var}' contains negative values. Negative weights are not permitted."
+msgstr ""
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
+msgstr "* p < .05, ** p < .01, *** p < .001, 单侧"
+
+#: pca/results/loadings.columns.title
+#: pca/results/factorStats/factorCor.columns.title
+msgid "1"
+msgstr "1"
+
+#: R/logregbin.b.R
+msgid "1 - Specificity"
+msgstr "1-特异度"
+
+#: package/analyses/logRegBin.menuTitle
+#: package/analyses/propTest2.menuTitle
+#: logRegBin/options.menuTitle
+#: propTest2/options.menuTitle
+msgid "2 Outcomes"
+msgstr "二分类结局"
+
+#: descriptives/options/pcValues.default
+msgid "25,50,75"
+msgstr "25,50,75"
+
+#: propTest2/ui[1][0][1]/hypothesis_less.label
+#: ttestOneS/ui[1][0][1]/hypothesis_lt.label
+msgid "< Test value"
+msgstr "<检验值"
+
+#: propTest2/ui[1][0][1]/hypothesis_greater.label
+#: ttestOneS/ui[1][0][1]/hypothesis_gt.label
+msgid "> Test value"
+msgstr ">检验值"
+
+#: ttestIS/results/assum/eqv.notes.p
+msgid "A low p-value suggests a violation of the assumption of equal variances"
+msgstr "低p值提示方差不齐"
+
+#: anovaOneW/results/assump/norm.notes.p
+#: ttestIS/results/assum/norm.notes.p
+#: ttestOneS/results/normality.notes.p
+#: ttestPS/results/norm.notes.p
+msgid "A low p-value suggests a violation of the assumption of normality"
+msgstr "低p值提示不服从正态分布"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).description
+msgid "A nice correlation data set"
+msgstr "一个理想相关数据集"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).description
+msgid "A repeated measures ANOVA data set"
+msgstr "重复测量方差分析数据集"
+
+#: cfa/options/fitMeasures/aic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/aic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/aic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/aic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/aic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/aic.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "AIC"
+msgstr "AIC"
+
+#: package/analyses/ancova.title
+#: package/analyses/ancova.menuTitle
+#: ancova/options.title
+#: ancova/ui.title
+#: ancova/results.title
+msgid "ANCOVA"
+msgstr "协方差分析"
+
+#: R/anova.b.R
+#: package/analyses/anovaOneW.menuGroup
+#: package/analyses/anova.title
+#: package/analyses/anova.menuGroup
+#: package/analyses/anova.menuTitle
+#: package/analyses/anovaRM.menuGroup
+#: package/analyses/ancova.menuGroup
+#: package/analyses/mancova.menuGroup
+#: package/analyses/anovaNP.menuGroup
+#: package/analyses/anovaRMNP.menuGroup
+#: ancova/options.menuGroup
+#: anova/options.title
+#: anova/options.menuGroup
+#: anova/ui.title
+#: anova/results.title
+#: anovaNP/options.menuGroup
+#: anovaOneW/options.menuGroup
+#: anovaRM/options.menuGroup
+#: anovaRMNP/options.menuGroup
+#: mancova/options.menuGroup
+msgid "ANOVA"
+msgstr "方差分析"
+
+#: linReg/options/anova.title
+msgid "ANOVA test"
+msgstr "方差分析"
+
+#: logRegBin/options/auc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "AUC"
+msgstr "AUC"
+
+#: logRegBin/options/acc.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Accuracy"
+msgstr "准确度"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.addButton
+#: logLinear/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.addButton
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.addButton
+msgid "Add New Block"
+msgstr "添加新的层"
+
+#: cfa/ui[0][0]/factors.addButton
+msgid "Add New Factor"
+msgstr "添加新的因子"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.addButton
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.addButton
+msgid "Add New Term"
+msgstr "添加新的项"
+
+#: corrMatrix/ui[1][1].label
+#: corrPart/ui[1][3].label
+#: reliability/ui[1][0][1].label
+msgid "Additional Options"
+msgstr "附加选项"
+
+#: cfa/ui[5].label
+#: efa/ui[1][1][2].label
+#: pca/ui[1][1][2].label
+msgid "Additional Output"
+msgstr "附加输出结果"
+
+#: anovaOneW/ui[1][1][0].label
+#: propTest2/ui[1][1][0].label
+#: ttestIS/ui[1][1][0].label
+#: ttestOneS/ui[1][1][0].label
+#: ttestPS/ui[1][1][0].label
+msgid "Additional Statistics"
+msgstr "附加统计信息"
+
+#: linReg/options/r2Adj.title
+#: linReg/results/modelFit.columns.title
+msgid "Adjusted R²"
+msgstr "校正R²"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "All observations are tied"
+msgstr "所有观察结果一致"
+
+#: contTables/options/hypothesis.title
+#: ttestIS/options/hypothesis.title
+#: ttestOneS/options/hypothesis.title
+#: ttestPS/options/hypothesis.title
+msgid "Alternative hypothesis"
+msgstr "备择假设"
+
+#: package/datasets/Tooth Growth.description
+msgid "An uninspiring ANOVA data set"
+msgstr "一个不理想的方差分析数据集"
+
+#: package.title
+msgid "Analyses bundled with jamovi"
+msgstr "使用jamovi进行分析"
+
+#: efa/options/factorScoreMethod/Anderson.title
+msgid "Anderson & Rubin"
+msgstr "Anderson & Rubin 检验"
+
+#: package/datasets/Anderson's Iris Data.name
+msgid "Anderson's Iris Data"
+msgstr "Anderson's Iris 数据集"
+
+#: R/anovarm.b.R
+msgid "As there are no between subjects factors specified this assumption is always met."
+msgstr "未指定组间因子，该假设始终满足。"
+
+#: anovaOneW/options/fishers.title
+msgid "Assume equal (Fisher's)"
+msgstr "方差齐(Fisher's)"
+
+#: ancova/ui[3].label
+#: ancova/results/assump.title
+#: anova/ui[3].label
+#: anova/results/assump.title
+#: anovaOneW/ui[1][1][1].label
+#: anovaOneW/results/assump.title
+#: anovaRM/ui[3].label
+#: efa/ui[1][1][0].label
+#: linReg/ui[3].label
+#: linReg/ui[3][0][0][0].label
+#: linReg/results/models.template/assump.title
+#: logRegBin/ui[3].label
+#: logRegBin/results/models.template/assump.title
+#: mancova/ui[1][1][0].label
+#: mancova/results/assump.title
+#: pca/ui[1][1][0].label
+#: pca/results/assump.title
+#: ttestIS/ui[1][1][1].label
+#: ttestOneS/ui[1][1][1].label
+#: ttestPS/ui[1][1][1].label
+msgid "Assumption Checks"
+msgstr "适用条件判断"
+
+#: anovaRM/results/assump.title
+#: ttestIS/results/assum.title
+msgid "Assumptions"
+msgstr "假设检验"
+
+#: R/conttables.b.R
+msgid "At least one variable must have two levels"
+msgstr "至少有一个两个水平的变量"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "Autocorrelation"
+msgstr "自相关"
+
+#: linReg/options/durbin.title
+msgid "Autocorrelation test"
+msgstr "自相关检验"
+
+#: R/conttables.b.R
+msgid "Available for 2x2 tables only"
+msgstr "仅限于2x2四格表"
+
+#: cfa/options/fitMeasures/bic.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: linReg/options/bic.title
+#: linReg/results/modelFit.columns.title
+#: logLinear/options/bic.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/bic.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/bic.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/bic.title
+#: logRegOrd/results/modelFit.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "BIC"
+msgstr "BIC"
+
+#: contTables/options/barplot.title
+msgid "Bar Plot"
+msgstr "条形图"
+
+#: descriptives/ui[3][0][2].label
+msgid "Bar Plots"
+msgstr "条形图"
+
+#: contTables/options/bartype.title
+#: contTables/ui[1][2][0][0][1].label
+msgid "Bar Type"
+msgstr "条形图类型"
+
+#: descriptives/options/bar.title
+msgid "Bar plot"
+msgstr "条形图"
+
+#: efa/options/factorScoreMethod/Bartlett.title
+msgid "Bartlett"
+msgstr "Bartlett 法"
+
+#: pca/results/assump/bartlett.title
+msgid "Bartlett's Test of Sphericity"
+msgstr "Bartlett's球形检验"
+
+#: efa/options/bartlett.title
+#: pca/options/bartlett.title
+msgid "Bartlett's test of sphericity"
+msgstr "Bartlett's球形检验"
+
+#: efa/options/nFactorMethod/eigen.title
+#: pca/ui[1][0][1]/nFactorMethod_eigen.label
+msgid "Based on eigenvalue"
+msgstr "基于特征值"
+
+#: efa/options/nFactorMethod/parallel.title
+#: pca/ui[1][0][1]/nFactorMethod_parallel.label
+msgid "Based on parallel analysis"
+msgstr "基于平行性分析"
+
+#: propTest2/options/bf.title
+#: ttestIS/options/bf.title
+#: ttestIS/ui[1][0][0]/students/bf.label
+#: ttestOneS/options/bf.title
+#: ttestOneS/ui[1][0][0]/students/bf.label
+#: ttestPS/options/bf.title
+#: ttestPS/ui[1][0][0]/students/bf.label
+msgid "Bayes factor"
+msgstr "贝叶斯因子法"
+
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Bayes factor₁₀"
+msgstr "贝叶斯因子₁₀"
+
+#: propTest2/ui[2].label
+msgid "Bayesian Statistics"
+msgstr "贝叶斯统计"
+
+#: anovaRM/options/bs.title
+msgid "Between Subject Factors"
+msgstr "组间因子"
+
+#: anovaRM/ui[2]/bscModelSupplier.label
+msgid "Between Subjects Components"
+msgstr "组间构成"
+
+#: anovaRM/results/bsTable.title
+msgid "Between Subjects Effects"
+msgstr "组间效应"
+
+#: package/datasets/Big 5 (Dolan, Oort, Stoel & Wicherts, 2009).name
+msgid "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+msgstr "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
+
+#: package/analyses/logRegBin.menuSubtitle
+#: logRegBin/options.menuSubtitle
+msgid "Binomial"
+msgstr "二分类"
+
+#: package/analyses/logRegBin.title
+#: package/analyses/logRegBin.description
+#: logRegBin/options.title
+#: logRegBin/options.description.main
+#: logRegBin/ui.title
+#: logRegBin/results.title
+msgid "Binomial Logistic Regression"
+msgstr "二分类Logistic回归"
+
+#: propTest2/results/table.title
+msgid "Binomial Test"
+msgstr "二项分布检验"
+
+#: package/analyses/propTest2.menuSubtitle
+#: propTest2/options.menuSubtitle
+msgid "Binomial test"
+msgstr "二项分布检验"
+
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockName.label
+msgid "Block 1"
+msgstr "层 1"
+
+#: jamovi/js/linreg.events.js:4
+#: jamovi/js/linreg.events.js:40
+#: jamovi/js/loglinear.events.js:4
+#: jamovi/js/loglinear.events.js:46
+#: jamovi/js/logregbin.events.js:4
+#: jamovi/js/logregbin.events.js:55
+#: jamovi/js/logregord.events.js:38
+#: jamovi/js/logregord.events.js:4
+msgid "Block {0}"
+msgstr "层{0}"
+
+#: linReg/options/blocks.title
+#: logLinear/options/blocks.title
+#: logRegBin/options/blocks.title
+#: logRegMulti/options/blocks.title
+#: logRegOrd/options/blocks.title
+msgid "Blocks"
+msgstr "层"
+
+#: ancova/options/postHocCorr/bonf.title
+#: anova/options/postHocCorr/bonf.title
+#: anovaRM/options/postHocCorr/bonf.title
+msgid "Bonferroni"
+msgstr "Bonferroni法"
+
+#: descriptives/ui[3][0][1].label
+msgid "Box Plots"
+msgstr "箱线图"
+
+#: descriptives/options/box.title
+msgid "Box plot"
+msgstr "箱线图"
+
+#: mancova/results/assump/boxM.title
+msgid "Box's Homogeneity of Covariance Matrices Test"
+msgstr "协方差矩阵Box's 齐性检验"
+
+#: mancova/ui[1][1][0]/boxM.label
+msgid "Box's M test"
+msgstr "Box'sM检验"
+
+#: mancova/options/boxM.title
+msgid "Box's M test for homogeneity of covariance matrices"
+msgstr "协方差矩阵Box'M齐性检验"
+
+#: logRegBin/results/models.template/assump/boxTidwell.title
+msgid "Box-Tidwell Test for Linearity of the Logit"
+msgstr "对数线性Box-Tidwell检验"
+
+#: logRegBin/options/boxTidwell.title
+msgid "Box-Tidwell test"
+msgstr "Box-Tidwell检验"
+
+#: package/datasets/Bugs (Ryan, Wilde & Crist, 2013).name
+msgid "Bugs (Ryan, Wilde & Crist, 2013)"
+msgstr "Bugs (Ryan, Wilde & Crist, 2013)"
+
+#: cfa/options/fitMeasures/cfi.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "CFI"
+msgstr "相对拟合指数"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Lower"
+msgstr "置信区间下限"
+
+#: corrMatrix/results/matrix.columns.content
+msgid "CI Upper"
+msgstr "置信区间上限"
+
+#: contTables/ui[1][1].label
+msgid "Cells"
+msgstr "单元格"
+
+#: descriptives/ui[2][1][0].label
+msgid "Central Tendency"
+msgstr "集中趋势"
+
+#: R/mancova.b.R
+msgid "Chi-Square Quantiles"
+msgstr "卡方分位数"
+
+#: logRegBin/results/models.template/pred/class.title
+msgid "Classification Table"
+msgstr "分类表"
+
+#: R/logregbin.b.R
+msgid "Classification Table – {dep}"
+msgstr "分类表– {dep}"
+
+#: logRegBin/options/class.title
+msgid "Classification table"
+msgstr "分类表"
+
+#: R/ancova.b.R
+#: ancova/options/postHocES/d.title
+#: anova/options/postHocES/d.title
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Cohen's d"
+msgstr "Cohen's d值"
+
+#: linReg/results/models.template/assump/collin.title
+#: logRegBin/results/models.template/assump/collin.title
+msgid "Collinearity Statistics"
+msgstr "共线性分析"
+
+#: linReg/options/collin.title
+#: logRegBin/options/collin.title
+msgid "Collinearity statistics"
+msgstr "共线性分析"
+
+#: contTables/options/pcCol.title
+#: contTablesPaired/options/pcCol.title
+msgid "Column"
+msgstr "列"
+
+#: R/ancova.b.R
+msgid "Column '{name}' contains unused levels (possible only when rows with missing values are excluded)"
+msgstr "列“{name}”包含未使用的水平(仅在删除有缺失值的行时才会出现)"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Column variable '{var}' contains fewer than 2 levels"
+msgstr "列变量“{var}”少于2个水平"
+
+#: contTables/options/cols.title
+#: contTables/options/xaxis/xcols.title
+#: contTablesPaired/options/cols.title
+msgid "Columns"
+msgstr "列"
+
+#: R/conttables.b.R
+msgid "Columns compared"
+msgstr ""
+
+#: contTables/results/odds.title
+msgid "Comparative Measures"
+msgstr "比较方法"
+
+#: contTables/ui[1][0][0][1][0].label
+msgid "Comparative Measures (2x2 only)"
+msgstr "比较方法(仅限于2x2四格表)"
+
+#: contTables/options/compare.title
+msgid "Compare"
+msgstr "对比"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: linReg/results/modelComp.columns.superTitle
+#: logLinear/results/modelComp.columns.superTitle
+#: logRegBin/results/modelComp.columns.superTitle
+#: logRegMulti/results/modelComp.columns.superTitle
+#: logRegOrd/results/modelComp.columns.superTitle
+msgid "Comparison"
+msgstr "比较"
+
+#: R/ancova.b.R
+msgid "Comparisons are based on estimated marginal means"
+msgstr "基于边际估计均值进行比较"
+
+#: R/pca.b.R
+#: pca/results/loadings.columns.superTitle
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Component"
+msgstr "成分"
+
+#: pca/results/loadings.title
+msgid "Component Loadings"
+msgstr "成分载荷"
+
+#: pca/results/factorStats.title
+msgid "Component Statistics"
+msgstr "成分分析"
+
+#: pca/options/factorCor.title
+msgid "Component correlations"
+msgstr "成分相关"
+
+#: pca/options/factorScoresOV.title
+msgid "Component scores"
+msgstr "成分得分"
+
+#: pca/options/factorSummary.title
+msgid "Component summary"
+msgstr "成分摘要"
+
+#: ancova/ui[2]/modelSupplier.label
+#: anova/ui[2]/modelSupplier.label
+msgid "Components"
+msgstr "组分"
+
+#: ancova/options/postHocEsCi.title
+#: anova/options/postHocEsCi.title
+#: descriptives/options/ci.title
+#: propTest2/results/table.columns.superTitle
+#: ttestIS/options/ci.title
+#: ttestIS/options/ciES.title
+#: ttestOneS/options/ci.title
+#: ttestOneS/options/ciES.title
+#: ttestPS/options/ci.title
+#: ttestPS/options/ciES.title
+msgid "Confidence Interval"
+msgstr "置信区间"
+
+#: contTables/results/odds.columns.superTitle
+#: contTables/results/gamma.columns.superTitle
+msgid "Confidence Intervals"
+msgstr "置信区间"
+
+#: ancova/options/emmPlotError/ci.title
+#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: ancova/ui[6][1][0][1]/ciWidthEmm.label
+#: anova/options/emmPlotError/ci.title
+#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi.label
+#: anova/ui[6][1][0][1]/ciWidthEmm.label
+#: anovaRM/options/emmPlotError/ci.title
+#: anovaRM/ui[5][1][0][1]/ciWidthEmm.label
+#: cfa/options/ci.title
+#: linReg/options/ci.title
+#: linReg/options/ciStdEst.title
+#: linReg/options/ciEmm.title
+#: logLinear/options/ci.title
+#: logLinear/options/ciRR.title
+#: logLinear/options/ciEmm.title
+#: logRegBin/options/ci.title
+#: logRegBin/options/ciOR.title
+#: logRegBin/options/ciEmm.title
+#: logRegMulti/options/ci.title
+#: logRegMulti/options/ciOR.title
+#: logRegMulti/options/ciEmm.title
+#: logRegOrd/options/ci.title
+#: logRegOrd/options/ciOR.title
+#: ttestIS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestIS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES.label
+#: ttestPS/ui[1][1][0]/meanDiff[0]/ci.label
+#: ttestPS/ui[1][1][0]/effectSize[0]/ciES.label
+msgid "Confidence interval"
+msgstr "置信区间"
+
+#: descriptives/ui[2][2][1][0]/ci.label
+msgid "Confidence interval for Mean"
+msgstr "均值的置信区间"
+
+#: anova/options/ciWidthEmm.title
+#: corrMatrix/options/ciWidth.title
+msgid "Confidence interval width"
+msgstr "置信区间宽度"
+
+#: contTables/options/ci.title
+#: corrMatrix/options/ci.title
+#: corrMatrix/ui[1][1]/ci.label
+#: propTest2/options/ci.title
+msgid "Confidence intervals"
+msgstr "置信区间"
+
+#: ancova/options/postHocEsCiWidth.title
+#: ancova/options/ciWidthEmm.title
+#: anova/options/postHocEsCiWidth.title
+#: anovaRM/options/ciWidthEmm.title
+#: cfa/options/ciWidth.title
+#: descriptives/options/ciWidth.title
+#: linReg/options/ciWidth.title
+#: linReg/options/ciWidthStdEst.title
+#: linReg/options/ciWidthEmm.title
+#: logLinear/options/ciWidth.title
+#: logLinear/options/ciWidthRR.title
+#: logLinear/options/ciWidthEmm.title
+#: logRegBin/options/ciWidth.title
+#: logRegBin/options/ciWidthOR.title
+#: logRegBin/options/ciWidthEmm.title
+#: logRegMulti/options/ciWidth.title
+#: logRegMulti/options/ciWidthOR.title
+#: logRegMulti/options/ciWidthEmm.title
+#: logRegOrd/options/ciWidth.title
+#: logRegOrd/options/ciWidthOR.title
+#: ttestIS/options/ciWidth.title
+#: ttestIS/options/ciWidthES.title
+#: ttestOneS/options/ciWidth.title
+#: ttestOneS/options/ciWidthES.title
+#: ttestPS/options/ciWidth.title
+#: ttestPS/options/ciWidthES.title
+msgid "Confidence level"
+msgstr "置信水平"
+
+#: package/analyses/cfa.title
+#: package/analyses/cfa.menuTitle
+#: package/analyses/cfa.description
+#: cfa/options.title
+#: cfa/options.description.main
+#: cfa/ui.title
+#: cfa/results.title
+msgid "Confirmatory Factor Analysis"
+msgstr "验证性因子分析"
+
+#: cfa/options/constrain.title
+#: cfa/ui[2][1][0].label
+msgid "Constraints"
+msgstr "约束条件"
+
+#: package/analyses/contTables.title
+#: package/analyses/contTables.menuSubgroup
+#: package/analyses/contTablesPaired.menuSubgroup
+#: contTables/options.title
+#: contTables/options.menuSubgroup
+#: contTables/ui.title
+#: contTables/results.title
+#: contTables/results/freqs.title
+#: contTablesPaired/options.menuSubgroup
+#: contTablesPaired/results/freqs.title
+msgid "Contingency Tables"
+msgstr "列联表"
+
+#: contTables/options/contCoef.title
+#: contTables/results/nom.columns.content
+msgid "Contingency coefficient"
+msgstr "列联系数"
+
+#: ancova/options/contrasts.title
+#: ancova/ui[4].label
+#: ancova/results/contrasts.title
+#: anova/options/contrasts.title
+#: anova/ui[4].label
+#: anova/results/contrasts.title
+#: anovaRM/options/contrasts.title
+#: anovaRM/results/contrasts.title
+msgid "Contrasts"
+msgstr "对比"
+
+#: ancova/results/contrasts.template.title
+#: anova/results/contrasts.template.title
+#: anovaRM/results/contrasts.template.title
+msgid "Contrasts - $key"
+msgstr "对比-$key"
+
+#: corrPart/ui/variablesupplier[1].label
+msgid "Control Variables"
+msgstr "控制变量"
+
+#: corrPart/options/controls.title
+msgid "Control variables"
+msgstr "控制变量"
+
+#: linReg/results/models.template/dataSummary/cooks.title
+#: linReg/results/cooksOV.title
+#: logRegBin/results/models.template/dataSummary/cooks.title
+msgid "Cook's Distance"
+msgstr "Cook's距离"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: linReg/options/cooks.title
+#: linReg/options/cooksOV.title
+#: logRegBin/options/cooks.title
+#: logRegBin/options/cooksOV.title
+#: logRegBin/results/cooksOV.title
+msgid "Cook's distance"
+msgstr "Cook's距离"
+
+#: ancova/options/postHocCorr.title
+#: ancova/ui[5][1][0].label
+#: anova/options/postHocCorr.title
+#: anova/ui[5][1][0].label
+msgid "Correction"
+msgstr "校正"
+
+#: anovaRM/options/postHocCorr.title
+#: anovaRM/ui[4][1][0].label
+msgid "Corrections"
+msgstr "校正"
+
+#: corrMatrix/options/hypothesis/corr.title
+#: corrPart/options/hypothesis/corr.title
+msgid "Correlated"
+msgstr "相关"
+
+#: corrMatrix/options/hypothesis/neg.title
+#: corrPart/options/hypothesis/neg.title
+msgid "Correlated negatively"
+msgstr "负相关"
+
+#: corrMatrix/options/hypothesis/pos.title
+#: corrPart/options/hypothesis/pos.title
+msgid "Correlated positively"
+msgstr "正相关"
+
+#: R/corrpart.b.R
+#: corrPart/results/matrix.title
+msgid "Correlation"
+msgstr "相关性"
+
+#: corrMatrix/ui[1][0].label
+#: corrPart/ui[1][0].label
+msgid "Correlation Coefficients"
+msgstr "相关系数"
+
+#: reliability/options/corPlot.title
+#: reliability/results/corPlot.title
+msgid "Correlation Heatmap"
+msgstr "相关性热图"
+
+#: package/analyses/corrMatrix.title
+#: package/analyses/corrMatrix.menuTitle
+#: corrMatrix/options.title
+#: corrMatrix/ui.title
+#: corrMatrix/results.title
+#: corrMatrix/results/matrix.title
+msgid "Correlation Matrix"
+msgstr "相关矩阵"
+
+#: corrPart/ui[1][2].label
+msgid "Correlation Type"
+msgstr "相关类型"
+
+#: reliability/ui[1][0][1]/corPlot.label
+msgid "Correlation heatmap"
+msgstr "相关性热图"
+
+#: package/analyses/corrMatrix.description
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables."
+msgstr "相关矩阵是检验两个或多个连续变量之间线性关系的一种方法。"
+
+#: corrMatrix/options.description.main
+msgid "Correlation matrices are a way to examine linear relationships between\n"
+"two or more continuous variables.\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "相关矩阵是检验两个或多个连续变量之间线性关系的一种方法。\n"
+"对于每一对变量，Pearson's相关系数r值表示两个变量之间关系的强度和方向。\n"
+"正值表示正相关(一个值随着另一个值的增加而增加)。\n"
+"负值表示负相关(一个值随着另一个值的增加而减小，反之亦然)。\n"
+"通常，通过检验相关系数是否为0的原假设来判断相关系数是否具有统计学意义(计算P值)。如果p值较低(低于检验水准)，则表明相关系数不为零，两个变量之间存在线性(或更复杂)的关系。"
+
+#: corrMatrix/options/plots.title
+#: corrMatrix/ui[1][3]/plots.label
+msgid "Correlation matrix"
+msgstr "相关矩阵"
+
+#: corrPart/options/type.title
+msgid "Correlation type"
+msgstr "相关类型"
+
+#: R/conttablespaired.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/results/props.columns.title
+msgid "Count"
+msgstr "计数"
+
+#: R/conttables.b.R
+#: R/descriptives.b.R
+#: R/loglinear.b.R
+#: contTables/options/yaxis/ycounts.title
+#: contTables/ui[1][1][0][0][0].label
+#: descriptives/options/barCounts.title
+msgid "Counts"
+msgstr "计数"
+
+#: contTables/options/counts.title
+#: contTablesPaired/options/counts.title
+#: logLinear/options/counts.title
+#: logLinear/ui[0][1].label
+#: propTestN/options/counts.title
+msgid "Counts (optional)"
+msgstr "计数（可选）"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be infinite"
+msgstr "计数资料不可为无限值"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Counts may not be negative"
+msgstr "计数资料不可为负数"
+
+#: R/conttablespaired.b.R
+msgid "Counts must be non-negative and finite"
+msgstr "计数资料必须是非负且有限数"
+
+#: ancova/options/covs.title
+#: anovaRM/options/cov.title
+#: linReg/options/covs.title
+#: linReg/ui[0][1].label
+#: logRegBin/options/covs.title
+#: logRegBin/ui[0][1].label
+#: logRegMulti/options/covs.title
+#: logRegMulti/ui[0][1].label
+#: logRegOrd/options/covs.title
+#: logRegOrd/ui[0][1].label
+#: mancova/options/covs.title
+msgid "Covariates"
+msgstr "协变量"
+
+#: logLinear/options/pseudoR2/r2cs.title
+#: logRegBin/options/pseudoR2/r2cs.title
+#: logRegMulti/options/pseudoR2/r2cs.title
+#: logRegOrd/options/pseudoR2/r2cs.title
+msgid "Cox & Snell's R²"
+msgstr "Cox & Snell's R²"
+
+#: contTables/results/nom.columns.content
+msgid "Cramer's V"
+msgstr "Cramer’s V系数"
+
+#: propTest2/results/table.columns.superTitle
+msgid "Credible Interval"
+msgstr "可信区间"
+
+#: propTest2/options/ciBayes.title
+msgid "Credible intervals"
+msgstr "可信区间"
+
+#: reliability/options/alphaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "Cronbach's α"
+msgstr "Cronbach's α系数"
+
+#: reliability/options/alphaItems.title
+msgid "Cronbach's α (if item is dropped)"
+msgstr "删除条目后的Cronbach's α系数"
+
+#: R/descriptives.b.R
+#: pca/results/factorStats/factorSummary.columns.title
+#: pca/results/eigen/initEigen.columns.title
+msgid "Cumulative %"
+msgstr "累计%"
+
+#: descriptives/options/pcNEqGr.title
+msgid "Cut point values"
+msgstr "截断值"
+
+#: descriptives/options/pcEqGr.title
+#: descriptives/ui[2][0][1][0]/pcEqGr.label
+msgid "Cut points for"
+msgstr "截断为"
+
+#: R/logregbin.b.R
+#: logRegBin/ui[7][0][0][0].label
+msgid "Cut-Off"
+msgstr "截断"
+
+#: logRegBin/results/models.template/pred/cutOffPlot.title
+msgid "Cut-Off Plot"
+msgstr "截断值图"
+
+#: logRegBin/options/cutOffPlot.title
+msgid "Cut-off plot"
+msgstr "截断值图"
+
+#: logRegBin/options/cutOff.title
+msgid "Cut-off value"
+msgstr "截断值"
+
+#: anovaNP/options/pairs.title
+msgid "DSCF pairwise comparisons"
+msgstr "DSCF两两比较"
+
+#: linReg/results/models.template/assump/durbin.columns.title
+msgid "DW Statistic"
+msgstr "DW统计量"
+
+#: R/pca.b.R
+#: descriptives/options/dot.title
+msgid "Data"
+msgstr "数据"
+
+#: package/analyses/pca.menuSubgroup
+#: package/analyses/efa.menuSubgroup
+#: package/analyses/cfa.menuSubgroup
+msgid "Data Reduction"
+msgstr "数据降维"
+
+#: linReg/ui[3][0][1][0].label
+#: linReg/results/models.template/dataSummary.title
+#: logRegBin/results/models.template/dataSummary.title
+msgid "Data Summary"
+msgstr "数据摘要"
+
+#: corrMatrix/options/plotDens.title
+msgid "Densities for variables"
+msgstr "变量概率密度"
+
+#: R/proptest2.b.R
+#: descriptives/options/dens.title
+msgid "Density"
+msgstr "概率密度"
+
+#: anovaRM/options/depLabel.default
+msgid "Dependent"
+msgstr "因变量"
+
+#: ancova/options/dep.title
+#: anova/options/dep.title
+#: linReg/options/dep.title
+#: logRegBin/options/dep.title
+#: logRegMulti/options/dep.title
+#: logRegOrd/options/dep.title
+#: mancova/results/univar.columns.title
+msgid "Dependent Variable"
+msgstr "因变量"
+
+#: anovaRM/ui[1][1][0].label
+msgid "Dependent Variable Label"
+msgstr "因变量标签"
+
+#: anovaNP/options/deps.title
+#: anovaOneW/options/deps.title
+#: anovaOneW/ui[0][0].label
+#: mancova/options/deps.title
+#: ttestIS/options/vars.title
+#: ttestOneS/options/vars.title
+msgid "Dependent Variables"
+msgstr "因变量"
+
+#: R/ancova.b.R
+msgid "Dependent variable must be numeric"
+msgstr "因变量必须是数值变量"
+
+#: anovaRMNP/results/plot.title
+msgid "Descriptive Plot"
+msgstr "描述图"
+
+#: anovaRMNP/options/plots.title
+msgid "Descriptive plot"
+msgstr "描述图"
+
+#: package/analyses/descriptives.title
+#: package/analyses/descriptives.menuTitle
+#: anovaRMNP/options/desc.title
+#: anovaRMNP/results/desc.title
+#: descriptives/options.title
+#: descriptives/options/desc.title
+#: descriptives/ui.title
+#: descriptives/results.title
+#: descriptives/results/descriptives.title
+#: descriptives/results/descriptivesT.title
+#: ttestIS/ui[1][1][0]/desc.label
+#: ttestOneS/ui[1][1][0]/desc.label
+#: ttestOneS/results/descriptives.title
+#: ttestPS/ui[1][1][0]/desc.label
+#: ttestPS/results/desc.title
+msgid "Descriptives"
+msgstr "描述"
+
+#: ttestIS/options/plots.title
+#: ttestOneS/options/plots.title
+#: ttestPS/options/plots.title
+msgid "Descriptives Plots"
+msgstr "描述图"
+
+#: ttestIS/options/desc.title
+#: ttestOneS/options/desc.title
+#: ttestPS/options/desc.title
+msgid "Descriptives Table"
+msgstr "描述表"
+
+#: package/analyses/descriptives.description
+#: descriptives/options.description.main
+msgid "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests."
+msgstr "统计描述是对数据进行分类和可视化的过程，以探索数据的形状和分布。在进行更正式的数据分析之前，最好先对数据进行统计学描述。"
+
+#: anovaOneW/options/descPlot.title
+#: ttestIS/ui[1][1][0]/plots.label
+#: ttestOneS/ui[1][1][0]/plots.label
+#: ttestPS/ui[1][1][0]/plots.label
+msgid "Descriptives plots"
+msgstr "描述图"
+
+#: anovaOneW/options/desc.title
+msgid "Descriptives table"
+msgstr "描述表"
+
+#: logLinear/options/dev.title
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/options/dev.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/options/dev.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/options/dev.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "Deviance"
+msgstr "离差"
+
+#: ancova/options/contrasts.template/type/deviation.title
+#: anova/options/contrasts.template/type/deviation.title
+#: anovaRM/options/contrasts.template/type/deviation.title
+msgid "Deviation"
+msgstr "离差"
+
+#: ancova/options/contrasts.template/type/difference.title
+#: anova/options/contrasts.template/type/difference.title
+#: anovaRM/options/contrasts.template/type/difference.title
+msgid "Difference"
+msgstr "差异"
+
+#: contTables/results/odds.columns.content
+msgid "Difference in 2 proportions"
+msgstr "两比例间的差异"
+
+#: contTables/options/diffProp.title
+msgid "Difference in proportions"
+msgstr "比例间的差异"
+
+#: descriptives/ui[2][2][0].label
+msgid "Dispersion"
+msgstr "离散"
+
+#: descriptives/ui[2][3][0].label
+msgid "Distribution"
+msgstr "分布"
+
+#: anovaOneW/options/welchs.title
+msgid "Don't assume equal (Welch's)"
+msgstr "方差不齐(Welch's)"
+
+#: linReg/results/models.template/assump/durbin.title
+msgid "Durbin–Watson Test for Autocorrelation"
+msgstr "Durbin–Watson自相关检验"
+
+#: anovaNP/results/comparisons.title
+msgid "Dwass-Steel-Critchlow-Fligner pairwise comparisons"
+msgstr "Dwass-Steel-Critchlow-Fligner两两比较"
+
+#: ancova/options/effectSize.title
+#: ancova/ui[1][1].label
+#: ancova/ui[5][1][1].label
+#: anova/options/effectSize.title
+#: anova/ui[1][1].label
+#: anova/ui[5][1][1].label
+#: anovaRM/options/effectSize.title
+#: anovaRM/ui[1][0][0].label
+#: ttestIS/options/effectSize.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/effectSize.title
+#: ttestPS/results/ttest.columns.title
+msgid "Effect Size"
+msgstr "效应量"
+
+#: ancova/options/postHocES.title
+#: anova/options/postHocES.title
+#: anovaNP/options/es.title
+#: ttestIS/ui[1][1][0]/effectSize.label
+#: ttestOneS/options/effectSize.title
+#: ttestOneS/ui[1][1][0]/effectSize.label
+#: ttestPS/ui[1][1][0]/effectSize.label
+msgid "Effect size"
+msgstr "效应量"
+
+#: R/pca.b.R
+#: pca/results/eigen/initEigen.columns.title
+msgid "Eigenvalue"
+msgstr "特征值"
+
+#: pca/results/eigen.title
+msgid "Eigenvalues"
+msgstr "特征值"
+
+#: efa/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+#: pca/ui[1][0][1]/nFactorMethod_eigen/minEigen.label
+msgid "Eigenvalues greater than"
+msgstr "特征值大于"
+
+#: ancova/options/emmWeights.title
+#: anova/options/emmWeights.title
+#: anovaRM/options/emmWeights.title
+#: linReg/options/emmWeights.title
+#: logLinear/options/emmWeights.title
+#: logRegBin/options/emmWeights.title
+#: logRegMulti/options/emmWeights.title
+msgid "Equal cell weights"
+msgstr "相等的单元格权重"
+
+#: ancova/options/emmPlotError.title
+#: anova/options/emmPlotError.title
+#: anovaRM/options/emmPlotError.title
+msgid "Error bars"
+msgstr "误差线"
+
+#: ancova/results/contrasts.template.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/ui[5][0][0][1].label
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Estimate"
+msgstr "系数"
+
+#: logRegBin/ui[5][0][0][1].label
+#: logRegMulti/ui[4][0][0][1].label
+#: logRegOrd/ui[4][0][1][0].label
+msgid "Estimate (Log Odds Ratio)"
+msgstr "系数（对数比值比）"
+
+#: logLinear/ui[4][0][0][1].label
+msgid "Estimate (Log Rate Ratio)"
+msgstr "系数（对数率比）"
+
+#: ancova/ui[6].label
+#: ancova/results/emm.title
+#: anova/ui[6].label
+#: anova/results/emm.title
+#: anovaRM/ui[5].label
+#: anovaRM/results/emm.title
+#: linReg/ui[6].label
+#: linReg/results/models.template/emm.title
+#: logLinear/ui[5].label
+#: logLinear/results/models.template/emm.title
+#: logRegBin/ui[6].label
+#: logRegBin/results/models.template/emm.title
+#: logRegMulti/ui[5].label
+#: logRegMulti/results/models.template/emm.title
+msgid "Estimated Marginal Means"
+msgstr "边际估计均值"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Estimated Marginal Means - {term}"
+msgstr "边际估计均值- {term}"
+
+#: cfa/ui[3].label
+msgid "Estimates"
+msgstr "系数"
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
+msgstr "系数表示 \"{dep} = {level1}\"与 \"{dep} = {level2}\"相比的对数比"
+
+#: R/logregbin.b.R
+msgid "Estimates represent the log odds of …"
+msgstr "系数表示…的比值对数"
+
+#: efa/options/factorScoreMethod.title
+msgid "Estimation method"
+msgstr "估算方法"
+
+#: anovaOneW/ui[1][0][1]/miss_perAnalysis.label
+#: ttestIS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestOneS/ui[1][0][2]/miss_perAnalysis.label
+#: ttestPS/ui[1][0][2]/miss_perAnalysis.label
+msgid "Exclude cases analysis by analysis"
+msgstr "按分析删除缺失值"
+
+#: anovaOneW/ui[1][0][1]/miss_listwise.label
+#: cfa/ui[2][0][0]/miss_listwise.label
+#: ttestIS/ui[1][0][2]/miss_listwise.label
+#: ttestOneS/ui[1][0][2]/miss_listwise.label
+#: ttestPS/ui[1][0][2]/miss_listwise.label
+msgid "Exclude cases listwise"
+msgstr "按样本删除缺失值"
+
+#: anovaRM/results/groupSummary.columns.title
+msgid "Excluded"
+msgstr "删除"
+
+#: R/conttables.b.R
+#: propTestN/results/props.columns.content
+msgid "Expected"
+msgstr "理论"
+
+#: propTestN/options/ratio.title
+#: propTestN/ui[2].label
+msgid "Expected Proportions"
+msgstr "理论比例"
+
+#: contTables/options/exp.title
+#: propTestN/options/expected.title
+msgid "Expected counts"
+msgstr "理论频数"
+
+#: package/analyses/descriptives.menuGroup
+#: descriptives/options.menuGroup
+msgid "Exploration"
+msgstr "探索"
+
+#: R/efa.b.R
+#: package/analyses/efa.title
+#: package/analyses/efa.menuTitle
+#: package/analyses/efa.description
+#: efa/options.title
+#: efa/options.description.main
+#: efa/ui.title
+#: efa/results.title
+#: efa/results/text.title
+msgid "Exploratory Factor Analysis"
+msgstr "探索性因子分析"
+
+#: efa/options/extraction.title
+msgid "Extraction"
+msgstr "提取"
+
+#: ancova/results/main.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: ttestIS/results/assum/eqv.columns.title
+msgid "F"
+msgstr "F值"
+
+#: linReg/options/modelTest.title
+msgid "F test"
+msgstr "F检验"
+
+#: R/ttestis.b.R
+msgid "F-statistic could not be calculated"
+msgstr "不能计算F统计量"
+
+#: R/efa.b.R
+#: package/analyses/reliability.menuGroup
+#: package/analyses/pca.menuGroup
+#: package/analyses/efa.menuGroup
+#: package/analyses/cfa.menuGroup
+#: cfa/options.menuGroup
+#: cfa/results/factorLoadings.columns.title
+#: efa/options.menuGroup
+#: pca/options.menuGroup
+#: reliability/options.menuGroup
+msgid "Factor"
+msgstr "因子"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains no data"
+msgstr "因子“{factorName}”不包含任何数据"
+
+#: R/ancova.b.R
+msgid "Factor '{factorName}' contains only a single level"
+msgstr "因子“{factorName}”只有一个水平"
+
+#: R/linreg.b.R
+msgid "Factor '{factor}' needs to have at least 2 levels"
+msgstr "因子“{factorName}”至少需要两个水平"
+
+#: cfa/options/factors.default[0].label
+msgid "Factor 1"
+msgstr "因子1"
+
+#: cfa/results/factorEst/factorCov.title
+msgid "Factor Covariances"
+msgstr "因子协方差"
+
+#: cfa/results/factorEst.title
+msgid "Factor Estimates"
+msgstr "因子系数"
+
+#: cfa/results/factorEst/factorIntercept.title
+msgid "Factor Intercepts"
+msgstr "因子截距"
+
+#: R/efa.b.R
+#: cfa/results/factorLoadings.title
+#: efa/ui[1][1][1].label
+#: pca/ui[1][1][1].label
+msgid "Factor Loadings"
+msgstr "因子载荷"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.title
+msgid "Factor Loadings – Modification Indices"
+msgstr "因子载荷-修正指数"
+
+#: R/efa.b.R
+msgid "Factor Statistics"
+msgstr "因子分析"
+
+#: efa/options/factorCor.title
+msgid "Factor correlations"
+msgstr "因子相关"
+
+#: cfa/options/factCovEst.title
+msgid "Factor covariances"
+msgstr "因子协方差"
+
+#: cfa/options/factInterceptEst.title
+msgid "Factor intercepts"
+msgstr "因子截距"
+
+#: efa/options/factorScoresOV.title
+#: pca/results/factorScoresOV.title
+msgid "Factor scores"
+msgstr "因子得分"
+
+#: efa/options/factorSummary.title
+msgid "Factor summary"
+msgstr "因子摘要"
+
+#: cfa/ui[2][1][0]/constrain_facVar.label
+msgid "Factor variances = 1"
+msgstr "因子方差=1"
+
+#: jamovi/js/cfa.events.js:40
+msgid "Factor {0}"
+msgstr "因子 {0}"
+
+#: cfa/options/factors.title
+#: cfa/ui[0][0].label
+#: linReg/options/factors.title
+#: linReg/ui[0][2].label
+#: logLinear/options/factors.title
+#: logLinear/ui[0][0].label
+#: logRegBin/options/factors.title
+#: logRegBin/ui[0][2].label
+#: logRegMulti/options/factors.title
+#: logRegMulti/ui[0][2].label
+#: logRegOrd/options/factors.title
+#: logRegOrd/ui[0][2].label
+#: mancova/options/factors.title
+msgid "Factors"
+msgstr "因子"
+
+#: anovaOneW/results/anova.columns.content
+msgid "Fisher's"
+msgstr "Fisher's法"
+
+#: contTables/options/fisher.title
+#: contTables/results/chiSq.columns.content
+msgid "Fisher's exact test"
+msgstr "Fisher's精确检验"
+
+#: cfa/options/fitMeasures.title
+#: cfa/ui[4][1][0]/fitMeasures.label
+#: cfa/results/modelFit/fitMeasures.title
+#: linReg/ui[4][0][0][0].label
+#: logLinear/ui[3][0][0][0].label
+#: logRegBin/ui[4][0][0][0].label
+#: logRegMulti/ui[3][0][0][0].label
+#: logRegOrd/ui[3][0][0][0].label
+msgid "Fit Measures"
+msgstr "拟合评价"
+
+#: R/linreg.b.R
+msgid "Fitted"
+msgstr "拟合"
+
+#: ancova/options/factors.title
+#: anova/options/factors.title
+msgid "Fixed Factors"
+msgstr "固定因子"
+
+#: efa/options/nFactorMethod/fixed.title
+#: pca/ui[1][0][1]/nFactorMethod_fixed.label
+msgid "Fixed number"
+msgstr "固定主成分个数"
+
+#: anovaOneW/options/phFlag.title
+msgid "Flag significant comparisons"
+msgstr "标记有统计学意义的比较结果"
+
+#: corrMatrix/options/flag.title
+#: corrPart/options/flag.title
+msgid "Flag significant correlations"
+msgstr "标记有统计学意义的相关"
+
+#: package/analyses/propTest2.menuGroup
+#: package/analyses/propTestN.menuGroup
+#: package/analyses/contTables.menuGroup
+#: package/analyses/contTablesPaired.menuGroup
+#: package/analyses/logLinear.menuGroup
+#: contTables/options.menuGroup
+#: contTablesPaired/options.menuGroup
+#: descriptives/results/frequencies.title
+#: logLinear/options.menuGroup
+#: propTest2/options.menuGroup
+#: propTestN/options.menuGroup
+msgid "Frequencies"
+msgstr "频数"
+
+#: descriptives/results/frequencies.template.title
+msgid "Frequencies of $key"
+msgstr "$key频数"
+
+#: descriptives/options/freq.title
+#: descriptives/ui[1][1]/freq.label
+msgid "Frequency tables"
+msgstr "频数表"
+
+#: package/analyses/anovaRMNP.menuSubtitle
+#: anovaRMNP/options.menuSubtitle
+#: anovaRMNP/results/table.title
+msgid "Friedman"
+msgstr "Friedman检验"
+
+#: cfa/ui[2][0][0]/miss_fiml.label
+msgid "Full information maximum likelihood"
+msgstr "完全信息最大似然法"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_gamesHowell.label
+msgid "Games-Howell (unequal variances)"
+msgstr "Games-Howell (方差不齐)"
+
+#: R/anovaonew.b.R
+msgid "Games-Howell Post-Hoc Test – {dep}"
+msgstr "Games-Howell 事后检验 – {dep}"
+
+#: contTables/options/gamma.title
+#: contTables/results/gamma.title
+#: contTables/results/gamma.columns.title
+msgid "Gamma"
+msgstr "Gamma系数"
+
+#: ancova/ui[6][1][0][1].label
+#: anova/ui[6][1][0][1].label
+#: anovaRM/ui[5][1][0][1].label
+#: linReg/ui[6][1][0][0].label
+#: logLinear/ui[5][1][0][0].label
+#: logRegBin/ui[6][1][0][0].label
+#: logRegMulti/ui[5][1][0][0].label
+msgid "General Options"
+msgstr "一般选项"
+
+#: anovaRM/options/effectSize/ges.title
+msgid "Generalised η²"
+msgstr "普通η²值"
+
+#: linReg/ui[2][1]/intercept_grandMean.label
+msgid "Grand mean (simple coding)"
+msgstr "总平均数(简单编码)"
+
+#: anovaRM/options/spherCorr/GG.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Greenhouse-Geisser"
+msgstr "Greenhouse-Geisser"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Greenhouse-Geisser ε"
+msgstr "Greenhouse-Geisser ε"
+
+#: ttestIS/results/desc.columns.title
+msgid "Group"
+msgstr "分组"
+
+#: R/conttables.b.R
+msgid "Group 1"
+msgstr "组1"
+
+#: contTables/options/hypothesis/twoGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_twoGreater.label
+#: ttestIS/options/hypothesis/twoGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Group 1 < Group 2"
+msgstr "组1<组2"
+
+#: contTables/options/hypothesis/oneGreater.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_oneGreater.label
+#: ttestIS/options/hypothesis/oneGreater.title
+#: ttestIS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Group 1 > Group 2"
+msgstr "组1>组2"
+
+#: contTables/options/hypothesis/different.title
+#: contTables/ui[1][0][0][0][1]/hypothesis_different.label
+#: ttestIS/options/hypothesis/different.title
+#: ttestIS/ui[1][0][1]/hypothesis_different.label
+msgid "Group 1 ≠ Group 2"
+msgstr "组1≠组2"
+
+#: R/conttables.b.R
+msgid "Group 2"
+msgstr "组2"
+
+#: anovaOneW/results/desc.title
+#: ttestIS/results/desc.title
+msgid "Group Descriptives"
+msgstr "分组描述"
+
+#: anovaRM/results/groupSummary.title
+msgid "Group Summary"
+msgstr "分组汇总摘要"
+
+#: anovaRM/options/groupSumm.title
+msgid "Group summary"
+msgstr "分组汇总摘要"
+
+#: anovaNP/options/group.title
+#: anovaOneW/options/group.title
+#: anovaOneW/ui[0][1].label
+#: ttestIS/options/group.title
+msgid "Grouping Variable"
+msgstr "分组变量"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' has less than 2 levels after missing values are excluded"
+msgstr "排除缺失值后，分组变量“{a}”少于2个水平"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must have exactly 2 levels"
+msgstr "分组变量“{a}”必须正好有两个水平"
+
+#: R/ttestis.b.R
+msgid "Grouping variable '{a}' must not also be a dependent variable"
+msgstr "分组变量“{a}”不能同时是因变量"
+
+#: R/conttables.b.R
+msgid "Haldane-Anscombe correction applied"
+msgstr "使用Haldane-Anscombe法校正"
+
+#: efa/options/factorScoreMethod/Harman.title
+msgid "Harman"
+msgstr "Harman 法"
+
+#: ancova/options/contrasts.template/type/helmert.title
+#: anova/options/contrasts.template/type/helmert.title
+#: anovaRM/options/contrasts.template/type/helmert.title
+msgid "Helmert"
+msgstr "Helmert"
+
+#: efa/options/hideLoadings.title
+#: pca/options/hideLoadings.title
+msgid "Hide loadings below"
+msgstr "隐藏低于此值的因子载荷"
+
+#: cfa/options/hlCorRes.title
+#: cfa/options/hlMI.title
+msgid "Highlight values above"
+msgstr "突出显示高于此值的结果"
+
+#: descriptives/options/hist.title
+msgid "Histogram"
+msgstr "直方图"
+
+#: descriptives/ui[3][0][0][0].label
+msgid "Histograms"
+msgstr "直方图"
+
+#: ancova/options/postHocCorr/holm.title
+#: anova/options/postHocCorr/holm.title
+#: anovaRM/options/postHocCorr/holm.title
+msgid "Holm"
+msgstr "Holm法"
+
+#: ancova/results/assump/homo.title
+#: anova/results/assump/homo.title
+#: anovaOneW/results/assump/eqv.title
+#: anovaRM/results/assump/leveneTable.title
+#: ttestIS/results/assum/eqv.title
+msgid "Homogeneity of Variances Test (Levene's)"
+msgstr "方差齐性检验(Levene's)"
+
+#: ancova/options/homo.title
+#: anova/options/homo.title
+#: anovaOneW/options/eqv.title
+#: anovaRM/options/leveneTest.title
+#: ttestIS/options/eqv.title
+msgid "Homogeneity test"
+msgstr "方差齐性检验"
+
+#: mancova/options/multivar/hotel.title
+#: mancova/results/multivar.columns.content
+msgid "Hotelling's Trace"
+msgstr "Hotelling's Trace法"
+
+#: anovaRM/options/spherCorr/HF.title
+#: anovaRM/results/rmTable.columns.content
+msgid "Huynh-Feldt"
+msgstr "Huynh-Feldt"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Huynh-Feldt ε"
+msgstr "Huynh-Feldt ε"
+
+#: contTables/ui[1][0][0][0][1].label
+#: corrMatrix/options/hypothesis.title
+#: corrMatrix/ui[1][2].label
+#: corrPart/options/hypothesis.title
+#: corrPart/ui[1][1].label
+#: propTest2/options/hypothesis.title
+#: propTest2/ui[1][0][1].label
+#: ttestIS/ui[1][0][1].label
+#: ttestOneS/ui[1][0][1].label
+#: ttestPS/ui[1][0][1].label
+msgid "Hypothesis"
+msgstr "假设检验"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is negative correlation"
+msgstr "Hₐ为负相关"
+
+#: R/corrmatrix.b.R
+#: R/corrpart.b.R
+msgid "Hₐ is positive correlation"
+msgstr "Hₐ为正相关"
+
+#: R/proptest2.b.R
+msgid "Hₐ is proportion {direction} {testValue}"
+msgstr "Hₐ为比例 {direction} {testValue}"
+
+#: R/descriptives.b.R
+#: descriptives/options/iqr.title
+msgid "IQR"
+msgstr "四分位数间距"
+
+#: package/analyses/contTables.menuTitle
+#: contTables/options.menuTitle
+msgid "Independent Samples"
+msgstr "独立样本"
+
+#: package/analyses/ttestIS.title
+#: package/analyses/ttestIS.menuTitle
+#: ttestIS/options.title
+#: ttestIS/ui.title
+#: ttestIS/results.title
+#: ttestIS/results/ttest.title
+msgid "Independent Samples T-Test"
+msgstr "独立样本T检验"
+
+#: cfa/results/factorLoadings.columns.title
+msgid "Indicator"
+msgstr "条目"
+
+#: pca/results/eigen/initEigen.title
+msgid "Initial Eigenvalues"
+msgstr "初始特征值"
+
+#: efa/options/eigen.title
+#: pca/options/eigen.title
+msgid "Initial eigenvalues"
+msgstr "初始特征值"
+
+#: pca/results/factorStats/factorCor.title
+msgid "Inter-Component Correlations"
+msgstr "成分间相关性"
+
+#: R/pca.b.R
+msgid "Inter-Factor Correlations"
+msgstr "因子间相关性"
+
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: linReg/options/intercept.title
+#: linReg/ui[2][1].label
+msgid "Intercept"
+msgstr "截距"
+
+#: cfa/ui[3][1][0]/ci/ciWidth.label
+#: contTables/options/ciWidth.title
+#: corrMatrix/ui[1][1]/ci/ciWidth.label
+#: linReg/ui[5][0][0][1]/ci/ciWidth.label
+#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.label
+#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logLinear/ui[4][0][0][1]/ci/ciWidth.label
+#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.label
+#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegBin/ui[5][0][0][1]/ci/ciWidth.label
+#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.label
+#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.label
+#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.label
+#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.label
+#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.label
+#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.label
+#: propTest2/ui[1][1][0]/ci/ciWidth.label
+#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.label
+msgid "Interval"
+msgstr "区间"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' consists of one level only"
+msgstr "条目“{item}”仅包含一个水平"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains infinite values"
+msgstr "条目“{item}”包含无限值"
+
+#: R/anovarm.b.R
+#: R/reliability.b.R
+msgid "Item '{item}' contains only missing values"
+msgstr "条目“{item}”中仅包含缺失值"
+
+#: R/reliability.b.R
+msgid "Item '{item}' has no variance"
+msgstr "条目“{item}”中的值都相等"
+
+#: R/anovarm.b.R
+msgid "Item '{item}' needs to be numeric"
+msgstr "条目“{item}”必须是数值型变量"
+
+#: reliability/results/items.title
+msgid "Item Reliability Statistics"
+msgstr "条目信度统计"
+
+#: reliability/ui[1][1][0].label
+msgid "Item Statistics"
+msgstr "条目统计"
+
+#: reliability/options/itemRestCor.title
+msgid "Item-rest correlation"
+msgstr "条目剩余相关性"
+
+#: reliability/options/vars.title
+msgid "Items"
+msgstr "条目"
+
+#: descriptives/options/dotType/jitter.title
+msgid "Jittered"
+msgstr "散点"
+
+#: pca/results/assump/kmo.title
+msgid "KMO Measure of Sampling Adequacy"
+msgstr "KMO抽样适合性检验"
+
+#: efa/options/kmo.title
+#: pca/options/kmo.title
+msgid "KMO measure of sampling adequacy"
+msgstr "KMO抽样适合性检验"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Kendall's Tau B"
+msgstr "Kendall's Tau B系数"
+
+#: contTables/results/taub.columns.title
+msgid "Kendall's Tau-B"
+msgstr "Kendall's Tau-B系数"
+
+#: contTables/results/taub.title
+msgid "Kendall's Tau-b"
+msgstr "Kendall's Tau-b系数"
+
+#: contTables/options/taub.title
+#: corrMatrix/options/kendall.title
+#: corrPart/options/kendall.title
+msgid "Kendall's tau-b"
+msgstr "Kendall's tau-b系数"
+
+#: package/analyses/anovaNP.menuSubtitle
+#: anovaNP/options.menuSubtitle
+#: anovaNP/results/table.title
+msgid "Kruskal-Wallis"
+msgstr "Kruskal-Wallis"
+
+#: R/descriptives.b.R
+#: descriptives/options/kurt.title
+msgid "Kurtosis"
+msgstr "峰度"
+
+#: contTables/options/layers.title
+msgid "Layers"
+msgstr "分层"
+
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Level"
+msgstr "水平"
+
+#: anovaRM/options/rm.default[0].levels[0]
+msgid "Level 1"
+msgstr "水平1"
+
+#: anovaRM/options/rm.default[0].levels[1]
+msgid "Level 2"
+msgstr "水平2"
+
+#: R/descriptives.b.R
+msgid "Levels"
+msgstr "水平"
+
+#: R/ttestis.b.R
+msgid "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances"
+msgstr "Levene's检验有统计学意义（p<0.05），表明方差不齐"
+
+#: R/proptest2.b.R
+msgid "Likelihood"
+msgstr "似然法"
+
+#: contTables/options/likeRat.title
+#: contTables/results/chiSq.columns.content
+msgid "Likelihood ratio"
+msgstr "似然比"
+
+#: logLinear/options/omni.title
+#: logRegBin/options/omni.title
+#: logRegMulti/options/omni.title
+#: logRegOrd/options/omni.title
+msgid "Likelihood ratio tests"
+msgstr "似然比检验"
+
+#: package/analyses/linReg.title
+#: package/analyses/linReg.menuTitle
+#: linReg/options.title
+#: linReg/ui.title
+#: linReg/results.title
+msgid "Linear Regression"
+msgstr "线性回归"
+
+#: package/analyses/linReg.description
+#: linReg/options.description.main
+msgid "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression."
+msgstr "线性回归用于探索一个连续性因变量与一个或多个连续和/或分类变量之间的关系。其他统计方法，如方差分析和协方差分析，其本质也是线性回归。"
+
+#: contTables/options/logOdds.title
+#: contTables/results/odds.columns.content
+msgid "Log odds ratio"
+msgstr "对数比值比"
+
+#: contTablesPaired/options/exact.title
+#: contTablesPaired/results/test.columns.content
+msgid "Log odds ratio exact"
+msgstr "精确对数比值比"
+
+#: package/analyses/logLinear.title
+#: package/analyses/logLinear.menuTitle
+#: package/analyses/logLinear.description
+#: logLinear/options.title
+#: logLinear/options.menuTitle
+#: logLinear/options.description.main
+#: logLinear/ui.title
+#: logLinear/results.title
+msgid "Log-Linear Regression"
+msgstr "对数线性回归"
+
+#: package/analyses/logRegBin.menuSubgroup
+#: package/analyses/logRegMulti.menuSubgroup
+#: package/analyses/logRegOrd.menuSubgroup
+#: logRegBin/options.menuSubgroup
+#: logRegMulti/options.menuSubgroup
+#: logRegOrd/options.menuSubgroup
+msgid "Logistic Regression"
+msgstr "Logistic回归"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Lower"
+msgstr "下限"
+
+#: package/analyses/mancova.title
+#: package/analyses/mancova.menuTitle
+#: mancova/options.title
+#: mancova/ui.title
+#: mancova/results.title
+msgid "MANCOVA"
+msgstr "多元协方差分析"
+
+#: pca/results/assump/kmo.columns.title
+msgid "MSA"
+msgstr "MSA系数"
+
+#: ttestIS/options/mann.title
+#: ttestIS/results/ttest.columns.content
+msgid "Mann-Whitney U"
+msgstr "Mann-Whitney U检验"
+
+#: contTables/options/mh.title
+msgid "Mantel-Haenszel"
+msgstr "Mantel-Haenszel检验"
+
+#: contTables/results/mh.title
+msgid "Mantel-Haenszel Test for Trend"
+msgstr "Mantel-Haenszel趋势检验"
+
+#: R/linreg.b.R
+msgid "Marginal Mean"
+msgstr "边际均值"
+
+#: ancova/options/emMeans.title
+#: anova/options/emMeans.title
+#: anovaRM/options/emMeans.title
+#: linReg/options/emMeans.title
+#: logLinear/options/emMeans.title
+#: logRegBin/options/emMeans.title
+#: logRegMulti/options/emMeans.title
+msgid "Marginal Means"
+msgstr "边际均值"
+
+#: ancova/options/emmPlots.title
+#: anova/options/emmPlots.title
+#: anovaRM/options/emmPlots.title
+#: linReg/options/emmPlots.title
+#: logLinear/options/emmPlots.title
+#: logRegBin/options/emmPlots.title
+#: logRegMulti/options/emmPlots.title
+msgid "Marginal means plots"
+msgstr "边际均值图"
+
+#: ancova/options/emmTables.title
+#: anova/options/emmTables.title
+#: anovaRM/options/emmTables.title
+#: linReg/options/emmTables.title
+#: logLinear/options/emmTables.title
+#: logRegBin/options/emmTables.title
+#: logRegMulti/options/emmTables.title
+msgid "Marginal means tables"
+msgstr "边际均值表"
+
+#: anovaRM/results/assump/spherTable.columns.title
+msgid "Mauchly's W"
+msgstr "Mauchly's W系数"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Max"
+msgstr "最大"
+
+#: R/descriptives.b.R
+#: descriptives/options/max.title
+msgid "Maximum"
+msgstr "最大值"
+
+#: R/pca.b.R
+#: efa/options/extraction/ml.title
+msgid "Maximum likelihood"
+msgstr "最大似然法"
+
+#: reliability/options/omegaScale.title
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "McDonald's ω"
+msgstr "McDonald's ω系数"
+
+#: reliability/options/omegaItems.title
+msgid "McDonald's ω (if item is dropped)"
+msgstr "删除条目后的McDonald's ω系数"
+
+#: logLinear/options/pseudoR2/r2mf.title
+#: logRegBin/options/pseudoR2/r2mf.title
+#: logRegMulti/options/pseudoR2/r2mf.title
+#: logRegOrd/options/pseudoR2/r2mf.title
+msgid "McFadden's R²"
+msgstr "McFadden's R²"
+
+#: contTablesPaired/results/test.title
+msgid "McNemar Test"
+msgstr "McNemar 检验"
+
+#: R/conttablespaired.b.R
+msgid "McNemar requires a 2x2 table"
+msgstr "McNemar检验仅适用于2x2四格表"
+
+#: package/analyses/contTablesPaired.menuSubtitle
+#: package/analyses/contTablesPaired.description
+#: contTablesPaired/options.menuSubtitle
+#: contTablesPaired/options.description.main
+msgid "McNemar test"
+msgstr "McNemar 检验"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/boxMean.title
+#: descriptives/options/mean.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: reliability/options/meanScale.title
+#: reliability/options/meanItems.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Mean"
+msgstr "均值"
+
+#: R/anovaonew.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+msgid "Mean ({ciWidth}% CI)"
+msgstr "均值({ciWidth}% 置信区间)"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Mean Difference"
+msgstr "均值差"
+
+#: descriptives/ui[2][2][1].label
+msgid "Mean Dispersion"
+msgstr "均值离散度"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Mean Square"
+msgstr "均方"
+
+#: anovaOneW/options/phMeanDif.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: ttestIS/options/meanDiff.title
+#: ttestIS/ui[1][1][0]/meanDiff.label
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/options/meanDiff.title
+#: ttestOneS/ui[1][1][0]/meanDiff.label
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/options/meanDiff.title
+#: ttestPS/ui[1][1][0]/meanDiff.label
+#: ttestPS/results/ttest.columns.title
+msgid "Mean difference"
+msgstr "均值差"
+
+#: reliability/options/meanScoreOV.title
+#: reliability/results/meanScoreOV.title
+msgid "Mean score"
+msgstr "均分"
+
+#: anovaRMNP/options/plotType/means.title
+msgid "Means"
+msgstr "均值"
+
+#: R/anovarmnp.b.R
+msgid "Measure"
+msgstr "估算值"
+
+#: R/ttestps.b.R
+msgid "Measure 1 - Measure 2"
+msgstr "检测值1－检测值2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_twoGreater.label
+msgid "Measure 1 < Measure 2"
+msgstr "检测值1＜检测值2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_oneGreater.label
+msgid "Measure 1 > Measure 2"
+msgstr "检测值1＞检测值2"
+
+#: ttestPS/ui[1][0][1]/hypothesis_different.label
+msgid "Measure 1 ≠ Measure 2"
+msgstr "检测值1≠检测值2"
+
+#: anovaRMNP/options/measures.title
+msgid "Measures"
+msgstr "检验值"
+
+#: R/descriptives.b.R
+#: R/ttestis.b.R
+#: R/ttestps.b.R
+#: anovaRMNP/results/desc.columns.title
+#: descriptives/options/median.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "Median"
+msgstr "中位数"
+
+#: anovaRMNP/options/plotType/medians.title
+msgid "Medians"
+msgstr "中位数"
+
+#: efa/ui[1][0][0].label
+#: pca/ui[1][0][0].label
+msgid "Method"
+msgstr "方法"
+
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+msgid "Min"
+msgstr "最小"
+
+#: R/descriptives.b.R
+#: descriptives/options/min.title
+msgid "Minimum"
+msgstr "最小值"
+
+#: R/pca.b.R
+msgid "Minimum residual"
+msgstr "最小残差"
+
+#: efa/options/extraction/minres.title
+msgid "Minimum residuals"
+msgstr "最小残差法"
+
+#: efa/options/minEigen.title
+#: pca/options/minEigen.title
+msgid "Minimum value"
+msgstr "最小值"
+
+#: R/descriptives.b.R
+#: descriptives/options/missing.title
+msgid "Missing"
+msgstr "缺失"
+
+#: anovaOneW/ui[1][0][1].label
+msgid "Missing Values"
+msgstr "缺失值"
+
+#: cfa/options/miss.title
+#: cfa/ui[2][0][0].label
+msgid "Missing Values Method"
+msgstr "缺失值法"
+
+#: ttestIS/options/miss.title
+#: ttestIS/ui[1][0][2].label
+#: ttestOneS/options/miss.title
+#: ttestOneS/ui[1][0][2].label
+#: ttestPS/options/miss.title
+#: ttestPS/ui[1][0][2].label
+msgid "Missing values"
+msgstr "缺失值"
+
+#: anovaOneW/options/miss.title
+msgid "Missing values exclusion method"
+msgstr "缺失值排除法"
+
+#: R/descriptives.b.R
+#: descriptives/options/mode.title
+msgid "Mode"
+msgstr "众数"
+
+#: R/logregbin.b.R
+#: ancova/ui[2].label
+#: anova/ui[2].label
+#: anovaRM/ui[2].label
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+msgid "Model"
+msgstr "模型"
+
+#: linReg/ui[1].label
+#: logLinear/ui[1].label
+#: logRegBin/ui[1].label
+#: logRegMulti/ui[1].label
+#: logRegOrd/ui[1].label
+msgid "Model Builder"
+msgstr "建模"
+
+#: linReg/ui[5].label
+#: logLinear/ui[4].label
+#: logLinear/results/models.template/coef.title
+#: logRegBin/ui[5].label
+#: logRegMulti/ui[4].label
+#: logRegOrd/ui[4].label
+msgid "Model Coefficients"
+msgstr "模型系数"
+
+#: linReg/results/modelComp.title
+#: logLinear/results/modelComp.title
+#: logRegBin/results/modelComp.title
+#: logRegMulti/results/modelComp.title
+#: logRegOrd/results/modelComp.title
+msgid "Model Comparisons"
+msgstr "模型对比"
+
+#: ancova/ui[1][0].label
+#: anova/ui[1][0].label
+#: cfa/ui[4].label
+#: cfa/results/modelFit.title
+#: linReg/ui[4].label
+#: logLinear/ui[3].label
+#: logRegBin/ui[4].label
+#: logRegMulti/ui[3].label
+#: logRegOrd/ui[3].label
+#: pca/results/modelFit.title
+msgid "Model Fit"
+msgstr "模型拟合"
+
+#: linReg/results/modelFit.title
+#: logLinear/results/modelFit.title
+#: logRegBin/results/modelFit.title
+#: logRegMulti/results/modelFit.title
+#: logRegOrd/results/modelFit.title
+#: pca/results/modelFit/fit.title
+msgid "Model Fit Measures"
+msgstr "模型拟合评价"
+
+#: linReg/results/models.title
+#: logLinear/results/models.title
+#: logRegBin/results/models.title
+#: logRegMulti/results/models.title
+#: logRegOrd/results/models.title
+msgid "Model Specific Results"
+msgstr "模型详细结果"
+
+#: ancova/options/modelTerms.title
+#: anova/options/modelTerms.title
+#: anovaRM/options/rmTerms.title
+#: anovaRM/options/bsTerms.title
+msgid "Model Terms"
+msgstr "模型项"
+
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "Model Test"
+msgstr "模型检验"
+
+#: logRegOrd/results/models.template/thres.title
+msgid "Model Thresholds"
+msgstr "模型阈值"
+
+#: efa/options/modelFit.title
+msgid "Model fit measures"
+msgstr "模型拟合评价"
+
+#: logRegOrd/options/thres.title
+msgid "Model thresholds"
+msgstr "模型阈值"
+
+#: cfa/results/modelPerformance/modIndices.title
+msgid "Modification Indices"
+msgstr "修正指数"
+
+#: cfa/options/mi.title
+msgid "Modification indices"
+msgstr "修正指数"
+
+#: R/descriptives.b.R
+msgid "More than one mode exists, only the first is reported"
+msgstr "当存在多个众数时，仅报告第一个"
+
+#: package/analyses/logRegMulti.menuSubtitle
+#: logRegMulti/options.menuSubtitle
+msgid "Multinomial"
+msgstr "无序多分类"
+
+#: package/analyses/logRegMulti.title
+#: package/analyses/logRegMulti.description
+#: logRegMulti/options.title
+#: logRegMulti/options.description.main
+#: logRegMulti/ui.title
+#: logRegMulti/results.title
+msgid "Multinomial Logistic Regression"
+msgstr "无序多分类Logistic回归"
+
+#: package/analyses/mancova.description
+#: mancova/options.description.main
+msgid "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables."
+msgstr "多元（协）方差分析（MANCOVA）用于探索多个因变量与一个或多个分类和/或连续变量之间的关系。"
+
+#: mancova/options/multivar.title
+#: mancova/ui[1][0][0].label
+msgid "Multivariate Statistics"
+msgstr "多元统计"
+
+#: mancova/results/multivar.title
+msgid "Multivariate Tests"
+msgstr "多变量检验"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/groupSummary.columns.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/results/test.columns.content
+#: corrMatrix/options/n.title
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/options/n.title
+#: corrPart/results/matrix.columns.content
+#: descriptives/options/n.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "N"
+msgstr "个案数"
+
+#: package/analyses/logRegMulti.menuTitle
+#: package/analyses/propTestN.menuTitle
+#: logRegMulti/options.menuTitle
+#: propTestN/options.menuTitle
+msgid "N Outcomes"
+msgstr "多分类结局"
+
+#: logLinear/options/pseudoR2/r2n.title
+#: logRegBin/options/pseudoR2/r2n.title
+#: logRegMulti/options/pseudoR2/r2n.title
+#: logRegOrd/options/pseudoR2/r2n.title
+msgid "Nagelkerke's R²"
+msgstr "Nagelkerke's R²"
+
+#: R/pca.b.R
+msgid "No components have an eigenvalue greater than {value}"
+msgstr "不存在特征值大于{value}的成分"
+
+#: ancova/options/postHocCorr/none.title
+#: anova/options/postHocCorr/none.title
+#: anovaRM/options/postHocCorr/none.title
+msgid "No correction"
+msgstr "未校正"
+
+#: R/mancova.b.R
+msgid "No factors defined. Box's M test is only relevant when model contains factors."
+msgstr "不存在任何因子。Box's M检验仅在模型中包含因子时才能运行。"
+
+#: contTables/ui[1][0][1][0][0].label
+#: contTables/results/nom.title
+msgid "Nominal"
+msgstr "无序多分类"
+
+#: package/analyses/anovaNP.menuSubgroup
+#: package/analyses/anovaRMNP.menuSubgroup
+#: anovaNP/options.menuSubgroup
+#: anovaRMNP/options.menuSubgroup
+msgid "Non-Parametric"
+msgstr "非参数法"
+
+#: ancova/options/contrasts.template/type/none.title
+#: ancova/options/emmPlotError/none.title
+#: anova/options/contrasts.template/type/none.title
+#: anova/options/emmPlotError/none.title
+#: anovaOneW/ui[2][0][0][0]/phMethod_none.label
+#: anovaRM/options/spherCorr/none.title
+#: anovaRM/options/contrasts.template/type/none.title
+#: anovaRM/options/emmPlotError/none.title
+#: anovaRM/results/rmTable.columns.content
+#: efa/options/rotation/none.title
+#: pca/options/rotation/none.title
+msgid "None"
+msgstr "无"
+
+#: reliability/ui[2]/revItemsSupplier.label
+msgid "Normal Scaled Items"
+msgstr "正向计分条目"
+
+#: descriptives/ui[2][3][1].label
+msgid "Normality"
+msgstr "正态性"
+
+#: ancova/results/assump/norm.title
+#: anova/results/assump/norm.title
+#: anovaOneW/results/assump/norm.title
+#: linReg/results/models.template/assump/norm.title
+#: ttestIS/results/assum/norm.title
+#: ttestOneS/results/normality.title
+#: ttestPS/results/norm.title
+msgid "Normality Test (Shapiro-Wilk)"
+msgstr "正态性检验 (Shapiro-Wilk)"
+
+#: ancova/options/norm.title
+#: anova/options/norm.title
+#: anovaOneW/options/norm.title
+#: linReg/options/norm.title
+#: ttestIS/options/norm.title
+#: ttestOneS/options/norm.title
+#: ttestPS/options/norm.title
+msgid "Normality test"
+msgstr "正态性检验"
+
+#: pca/ui[1][0][1].label
+msgid "Number of Components"
+msgstr "成分个数"
+
+#: efa/ui[1][0][1].label
+msgid "Number of Factors"
+msgstr "因子个数"
+
+#: pca/options/nFactorMethod.title
+msgid "Number of components"
+msgstr "成分个数"
+
+#: efa/options/nFactorMethod.title
+msgid "Number of factors"
+msgstr "因子个数"
+
+#: efa/options/rotation/oblimin.title
+#: pca/options/rotation/oblimin.title
+msgid "Oblimin"
+msgstr "斜交法"
+
+#: R/conttables.b.R
+#: R/logregbin.b.R
+#: propTestN/results/props.columns.content
+msgid "Observed"
+msgstr "实际"
+
+#: contTables/options/obs.title
+msgid "Observed counts"
+msgstr "实际频数"
+
+#: ancova/options/emmPlotData.title
+#: anova/options/emmPlotData.title
+#: anovaRM/options/emmPlotData.title
+msgid "Observed scores"
+msgstr "实际值"
+
+#: logRegBin/ui[5][0][1][0].label
+#: logRegMulti/ui[4][0][1][0].label
+#: logRegOrd/ui[4][0][1][1].label
+msgid "Odds Ratio"
+msgstr "比值比"
+
+#: contTables/options/odds.title
+#: contTables/results/odds.columns.content
+#: logRegBin/options/OR.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/options/OR.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/options/OR.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Odds ratio"
+msgstr "比值比"
+
+#: linReg/results/models.template/anova.title
+msgid "Omnibus ANOVA Test"
+msgstr "Omnibus方差检验"
+
+#: logLinear/results/models.template/lrt.title
+#: logRegBin/results/models.template/lrt.title
+#: logRegMulti/results/models.template/lrt.title
+#: logRegOrd/results/models.template/lrt.title
+msgid "Omnibus Likelihood Ratio Tests"
+msgstr "Omnibus似然比检验"
+
+#: linReg/ui[5][0][0][0].label
+msgid "Omnibus Test"
+msgstr "Omnibus检验"
+
+#: logLinear/ui[4][0][0][0].label
+#: logRegBin/ui[5][0][0][0].label
+#: logRegMulti/ui[4][0][0][0].label
+#: logRegOrd/ui[4][0][0][0].label
+msgid "Omnibus Tests"
+msgstr "Omnibus检验"
+
+#: package/analyses/propTest2.menuSubgroup
+#: package/analyses/propTestN.menuSubgroup
+#: propTest2/options.menuSubgroup
+#: propTestN/options.menuSubgroup
+msgid "One Sample Proportion Tests"
+msgstr "单样本比例检验"
+
+#: package/analyses/ttestOneS.title
+#: package/analyses/ttestOneS.menuTitle
+#: ttestOneS/options.title
+#: ttestOneS/ui.title
+#: ttestOneS/results.title
+#: ttestOneS/results/ttest.title
+msgid "One Sample T-Test"
+msgstr "单样本T检验"
+
+#: R/ttestis.b.R
+msgid "One or both groups do not contain enough observations"
+msgstr "某一组或两组内个案数太少"
+
+#: R/ttestps.b.R
+msgid "One or both variables are not numeric"
+msgstr "某一个或两个变量不是数值变量"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain infinite values"
+msgstr "某一个或两个变量包含无限值"
+
+#: R/ttestps.b.R
+msgid "One or both variables contain no observations"
+msgstr "某一个或两个变量的个案数为0"
+
+#: R/ttestps.b.R
+msgid "One or both variables do not contain enough observations"
+msgstr "某一个或两个变量的个案数太少"
+
+#: R/logregbin.b.R
+msgid "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity."
+msgstr "由于存在严重共线性问题，无法估计模型“{modelNo}”中的一个或多个系数。"
+
+#: package/analyses/anovaOneW.title
+#: package/analyses/anovaOneW.menuTitle
+#: package/analyses/anovaNP.menuTitle
+#: anovaNP/options.menuTitle
+#: anovaOneW/options.title
+#: anovaOneW/ui.title
+#: anovaOneW/results.title
+#: anovaOneW/results/anova.title
+msgid "One-Way ANOVA"
+msgstr "单因素方差分析"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Fisher's)"
+msgstr "单因素方差分析(Fisher's法)"
+
+#: package/analyses/anovaNP.title
+#: anovaNP/options.title
+#: anovaNP/ui.title
+#: anovaNP/results.title
+msgid "One-Way ANOVA (Non-parametric)"
+msgstr "单因素方差分析(非参数法)"
+
+#: R/anovaonew.b.R
+msgid "One-Way ANOVA (Welch's)"
+msgstr "单因素方差分析(Welch's法)"
+
+#: anovaRM/ui[6].label
+#: cfa/ui[2].label
+msgid "Options"
+msgstr "选项"
+
+#: contTables/ui[1][0][1][1][0].label
+msgid "Ordinal"
+msgstr "有序多分类"
+
+#: package/analyses/logRegOrd.title
+#: package/analyses/logRegOrd.description
+#: logRegOrd/options.title
+#: logRegOrd/options.description.main
+#: logRegOrd/ui.title
+#: logRegOrd/results.title
+msgid "Ordinal Logistic Regression"
+msgstr "有序Logistic回归"
+
+#: package/analyses/logRegOrd.menuTitle
+#: logRegOrd/options.menuTitle
+msgid "Ordinal Outcomes"
+msgstr "有序分类结局"
+
+#: ancova/ui[6][1][0][0].label
+#: anova/ui[6][1][0][0].label
+#: anovaRM/ui[5][1][0][0].label
+#: linReg/ui[6][1][1][0].label
+#: logLinear/ui[5][1][1][0].label
+#: logRegBin/ui[6][1][1][0].label
+#: logRegMulti/ui[5][1][1][0].label
+msgid "Output"
+msgstr "输出"
+
+#: R/pca.b.R
+msgid "Overall"
+msgstr "整体"
+
+#: linReg/ui[4][0][1][0].label
+#: linReg/results/modelFit.columns.superTitle
+#: logLinear/results/modelFit.columns.superTitle
+#: logRegBin/results/modelFit.columns.superTitle
+#: logRegMulti/results/modelFit.columns.superTitle
+#: logRegOrd/results/modelFit.columns.superTitle
+msgid "Overall Model Test"
+msgstr "整体模型检验"
+
+#: R/ancova.b.R
+msgid "Overall model"
+msgstr "整体模型"
+
+#: ancova/options/modelTest.title
+#: anova/options/modelTest.title
+#: logLinear/options/modelTest.title
+#: logRegBin/options/modelTest.title
+#: logRegMulti/options/modelTest.title
+#: logRegOrd/options/modelTest.title
+msgid "Overall model test"
+msgstr "整体模型检验"
+
+#: package/analyses/contTablesPaired.menuTitle
+#: contTablesPaired/options.menuTitle
+msgid "Paired Samples"
+msgstr "配对样本"
+
+#: package/analyses/contTablesPaired.title
+#: contTablesPaired/options.title
+#: contTablesPaired/ui.title
+#: contTablesPaired/results.title
+msgid "Paired Samples Contingency Tables"
+msgstr "配对样本列联表"
+
+#: package/analyses/ttestPS.title
+#: package/analyses/ttestPS.menuTitle
+#: ttestPS/options.title
+#: ttestPS/ui.title
+#: ttestPS/results.title
+#: ttestPS/results/ttest.title
+msgid "Paired Samples T-Test"
+msgstr "配对样本T检验"
+
+#: ttestPS/options/pairs.title
+msgid "Paired Variables"
+msgstr "配对变量"
+
+#: anovaRMNP/results/comp.title
+msgid "Pairwise Comparisons (Durbin-Conover)"
+msgstr "两两比较 (Durbin-Conover法)"
+
+#: anovaRMNP/options/pairs.title
+msgid "Pairwise comparisons (Durbin-Conover)"
+msgstr "两两比较 (Durbin-Conover法)"
+
+#: anovaNP/results/comparisons.template.title
+msgid "Pairwise comparisons - $key"
+msgstr "两两比较- $key"
+
+#: corrPart/options/type/part.title
+msgid "Partial"
+msgstr "偏相关"
+
+#: R/corrpart.b.R
+#: package/analyses/corrPart.title
+#: package/analyses/corrPart.menuTitle
+#: corrPart/options.title
+#: corrPart/ui.title
+#: corrPart/results.title
+msgid "Partial Correlation"
+msgstr "偏相关"
+
+#: package/analyses/corrPart.description
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables"
+msgstr "偏相关矩阵是一种在控制其他变量影响的情况下，检验两个或多个连续性变量之间线性关系的方法"
+
+#: corrPart/options.description.main
+msgid "Partial correlation matrices are a way to examine linear relationships\n"
+"between two or more continuous variables while controlling for other\n"
+"variables\n"
+"\n"
+"For each pair of variables, a Pearson's r value indicates the strength\n"
+"and direction of the relationship between those two variables. A\n"
+"positive value indicates a positive relationship (higher values of one\n"
+"variable predict higher values of the other variable). A negative\n"
+"Pearson's r indicates a negative relationship (higher values of one\n"
+"variable predict lower values of the other variable, and vice-versa).\n"
+"A value of zero indicates no relationship (whether a variable is high\n"
+"or low, does not tell us anything about the value of the other\n"
+"variable).\n"
+"\n"
+"More formally, it is possible to test the null hypothesis that the\n"
+"correlation is zero and calculate a p-value. If the p-value is low, it\n"
+"suggests the correlation co-efficient is not zero, and there is a linear\n"
+"(or more complex) relationship between the two variables."
+msgstr "偏相关矩阵是一种在控制其他变量影响的情况下，检验两个或多个连续性变量之间线性关系的方法。\n"
+"对于每一对变量，Pearson's相关系数r值表示这两个变量之间关系的强度和方向。正值表示正相关(一个值随着另一个值的增加而增加)。负值表示负相关(一个值随着另一个值的增加而减小，反之亦然)。\n"
+"零表示不存在相关关系(无论一个变量如何改变，另一个变量均不会随之发生变化)。\n"
+"通常，通过检验相关系数是否为0的原假设来判断相关系数是否具有统计学意义(计算P值)。如果p值较低(低于检验水准)，则表明相关系数不为零，两个变量之间存在线性(或更复杂)的关系。"
+
+#: anovaRM/options/effectSize/partEta.title
+msgid "Partial η²"
+msgstr "偏η²值"
+
+#: cfa/results/pathDiagram.title
+msgid "Path Diagram"
+msgstr "路径图"
+
+#: cfa/options/pathDiagram.title
+msgid "Path diagram"
+msgstr "路径图"
+
+#: corrMatrix/options/pearson.title
+#: corrMatrix/ui[1][0]/pearson.label
+#: corrPart/options/pearson.title
+#: corrPart/ui[1][0]/pearson.label
+msgid "Pearson"
+msgstr "Pearson系数"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Pearson's r"
+msgstr "Pearson's相关系数r"
+
+#: R/reliability.b.R
+msgid "Pearson{}Correlation"
+msgstr "Pearson{}相关"
+
+#: contTables/options/yaxis/ypc.title
+#: contTables/ui[1][1][0][1][0].label
+#: contTablesPaired/ui[2][0].label
+msgid "Percentages"
+msgstr "百分比"
+
+#: R/conttables.b.R
+msgid "Percentages of total"
+msgstr "合计百分比"
+
+#: R/conttables.b.R
+msgid "Percentages within {var}"
+msgstr "{var}内的百分比"
+
+#: descriptives/options/pc.title
+msgid "Percentile"
+msgstr "百分位数"
+
+#: descriptives/ui[2][0][1].label
+msgid "Percentile Values"
+msgstr "百分位数"
+
+#: descriptives/options/pcValues.title
+msgid "Percentile values"
+msgstr "百分位数"
+
+#: R/descriptives.b.R
+#: descriptives/ui[2][0][1][1]/pc.label
+msgid "Percentiles"
+msgstr "百分位数"
+
+#: contTables/options/phiCra.title
+msgid "Phi and Cramer's V"
+msgstr "φ系数和Cramer’s V系数"
+
+#: contTables/results/nom.columns.content
+msgid "Phi-coefficient"
+msgstr "φ系数"
+
+#: mancova/options/multivar/pillai.title
+#: mancova/results/multivar.columns.content
+msgid "Pillai's Trace"
+msgstr "Pillai's Trace法"
+
+#: ancova/ui[6][1][1][0].label
+#: anova/ui[6][1][1][0].label
+#: anovaRM/ui[5][1][1][0].label
+#: corrMatrix/ui[1][3].label
+#: corrMatrix/results/plot.title
+msgid "Plot"
+msgstr "图"
+
+#: anovaRMNP/options/plotType.title
+msgid "Plot Type"
+msgstr "图类型"
+
+#: anovaOneW/results/plots.title
+#: cfa/ui[5][1][0].label
+#: contTables/ui[1][2].label
+#: contTables/ui[1][2][0][0][0].label
+#: contTables/results/barplot.title
+#: descriptives/ui[3].label
+#: descriptives/results/plots.title
+#: propTest2/ui[2][0][1].label
+#: ttestIS/results/plots.title
+#: ttestOneS/results/plots.title
+#: ttestPS/results/plots.title
+msgid "Plots"
+msgstr "绘图"
+
+#: ancova/options/contrasts.template/type/polynomial.title
+#: anova/options/contrasts.template/type/polynomial.title
+#: anovaRM/options/contrasts.template/type/polynomial.title
+msgid "Polynomial"
+msgstr "多项式"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+msgid "Post Hoc Comparisons - {term}"
+msgstr "事后比较- {term}"
+
+#: ancova/options/postHoc.title
+#: ancova/ui[5].label
+#: ancova/results/postHoc.title
+#: anova/options/postHoc.title
+#: anova/ui[5].label
+#: anova/results/postHoc.title
+#: anovaOneW/results/postHoc.title
+#: anovaRM/options/postHoc.title
+#: anovaRM/ui[4].label
+#: anovaRM/results/postHoc.title
+msgid "Post Hoc Tests"
+msgstr "事后检验"
+
+#: anovaOneW/results/postHoc.template.title
+msgid "Post Hoc Tests – $key"
+msgstr "事后检验– $key"
+
+#: cfa/ui[5][0][0].label
+#: cfa/results/modelPerformance.title
+msgid "Post-Hoc Model Performance"
+msgstr "事后模型性能"
+
+#: anovaOneW/ui[2][0][0][0].label
+msgid "Post-Hoc Test"
+msgstr "事后检验"
+
+#: anovaOneW/options/phMethod.title
+#: anovaOneW/ui[2].label
+msgid "Post-Hoc Tests"
+msgstr "事后检验"
+
+#: R/proptest2.b.R
+msgid "Posterior"
+msgstr "后验"
+
+#: propTest2/results/postPlots.title
+msgid "Posterior Plots"
+msgstr "后验图"
+
+#: propTest2/options/postPlots.title
+msgid "Posterior plot"
+msgstr "后验图"
+
+#: R/logregbin.b.R
+msgid "Predicted"
+msgstr "预测"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of {dep} = {level1} (vs {dep} = {level2})"
+msgstr "{dep} = {level1}与(相比 {dep} = {level2})的预测概率"
+
+#: R/logregbin.b.R
+msgid "Predicted probability of … = … (vs … = …)"
+msgstr "…=…（相比…=…）的预测概率"
+
+#: R/linreg.b.R
+#: linReg/options/predictOV.title
+#: linReg/results/predictOV.title
+#: logRegBin/options/predictOV.title
+#: logRegBin/results/predictOV.title
+msgid "Predicted values"
+msgstr "预测值"
+
+#: logRegBin/ui[7].label
+#: logRegBin/results/models.template/pred.title
+msgid "Prediction"
+msgstr "预测"
+
+#: logRegBin/ui[7][0][1][0].label
+#: logRegBin/results/models.template/pred/measures.title
+msgid "Predictive Measures"
+msgstr "预测评价"
+
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+msgid "Predictor"
+msgstr "预测变量"
+
+#: linReg/ui[1]/modelSupplier.label
+#: logLinear/ui[1]/modelSupplier.label
+#: logRegBin/ui[1]/modelSupplier.label
+#: logRegMulti/ui[1]/modelSupplier.label
+#: logRegOrd/ui[1]/modelSupplier.label
+msgid "Predictors"
+msgstr "预测变量"
+
+#: package/analyses/pca.title
+#: package/analyses/pca.menuTitle
+#: package/analyses/pca.description
+#: pca/options.title
+#: pca/options.description.main
+#: pca/ui.title
+#: pca/results.title
+msgid "Principal Component Analysis"
+msgstr "主成分分析"
+
+#: efa/options/extraction/pa.title
+msgid "Principal axis"
+msgstr "主轴法"
+
+#: R/pca.b.R
+msgid "Principal axis factoring"
+msgstr "主轴因子"
+
+#: R/proptest2.b.R
+#: propTest2/ui[2][0][0].label
+#: ttestIS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestOneS/ui[1][0][0]/students/bf/bfPrior.label
+#: ttestPS/ui[1][0][0]/students/bf/bfPrior.label
+msgid "Prior"
+msgstr "先验"
+
+#: ttestIS/options/bfPrior.title
+#: ttestOneS/options/bfPrior.title
+#: ttestPS/options/bfPrior.title
+msgid "Prior width"
+msgstr "先验宽度"
+
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "Probability"
+msgstr "概率"
+
+#: efa/options/rotation/promax.title
+#: pca/options/rotation/promax.title
+msgid "Promax"
+msgstr "最优法"
+
+#: R/proptest2.b.R
+#: propTest2/results/table.columns.title
+#: propTestN/ui[2]/ratio.columns.label
+#: propTestN/results/props.columns.title
+msgid "Proportion"
+msgstr "比例"
+
+#: package/analyses/propTest2.title
+#: propTest2/options.title
+#: propTest2/ui.title
+#: propTest2/results.title
+msgid "Proportion Test (2 Outcomes)"
+msgstr "比例检验 (2分类)"
+
+#: package/analyses/propTestN.title
+#: propTestN/options.title
+#: propTestN/ui.title
+#: propTestN/results.title
+msgid "Proportion Test (N Outcomes)"
+msgstr "比例检验 (多分类)"
+
+#: logLinear/options/pseudoR2.title
+#: logLinear/ui[3][0][1]/pseudoR2.label
+#: logRegBin/options/pseudoR2.title
+#: logRegBin/ui[4][0][1]/pseudoR2.label
+#: logRegMulti/options/pseudoR2.title
+#: logRegMulti/ui[3][0][1]/pseudoR2.label
+#: logRegOrd/options/pseudoR2.title
+#: logRegOrd/ui[3][0][1]/pseudoR2.label
+msgid "Pseudo R²"
+msgstr "伪R²"
+
+#: descriptives/ui[3][0][0][1]/qq.label
+msgid "Q-Q"
+msgstr "Q-Q图"
+
+#: ancova/options/qq.title
+#: ancova/results/assump/qq.title
+#: anova/options/qq.title
+#: anova/results/assump/qq.title
+#: anovaOneW/options/qq.title
+#: anovaRM/options/qq.title
+#: anovaRM/results/assump/qq.title
+#: linReg/results/models.template/assump/qqPlot.title
+#: ttestOneS/options/qq.title
+#: ttestPS/options/qq.title
+msgid "Q-Q Plot"
+msgstr "Q-Q图"
+
+#: mancova/results/assump/qqPlot.title
+msgid "Q-Q Plot Assessing Multivariate Normality"
+msgstr "评估多元正态性的Q-Q图"
+
+#: descriptives/ui[3][0][0][1].label
+msgid "Q-Q Plots"
+msgstr "Q-Q图"
+
+#: anovaOneW/results/plots.template/qq.description
+#: descriptives/options/qq.title
+#: ttestIS/options/qq.title
+#: ttestIS/results/plots.template/qq.description
+#: ttestOneS/results/qq.template.description
+#: ttestPS/results/plots.template/qq.description
+msgid "Q-Q plot"
+msgstr "Q-Q图"
+
+#: mancova/options/qqPlot.title
+msgid "Q-Q plot of multivariate normality"
+msgstr "多元正态Q-Q图"
+
+#: linReg/options/qqPlot.title
+msgid "Q-Q plot of residuals"
+msgstr "残差Q-Q图"
+
+#: ttestOneS/results/qq.title
+msgid "Q-Q plots"
+msgstr "Q-Q图"
+
+#: efa/options/rotation/quartimax.title
+#: pca/options/rotation/quartimax.title
+msgid "Quartimax"
+msgstr "四次方极大法"
+
+#: linReg/options/r.title
+#: linReg/results/modelFit.columns.title
+msgid "R"
+msgstr "复相关系数R"
+
+#: anovaRM/options/rm.default[0].label
+msgid "RM Factor 1"
+msgstr "重复测量因子1"
+
+#: jamovi/js/anovarm.events.js:8
+msgid "RM Factor {0}"
+msgstr "重复测量因子{0}"
+
+#: linReg/options/rmse.title
+#: linReg/results/modelFit.columns.title
+msgid "RMSE"
+msgstr "均方根误差"
+
+#: cfa/options/fitMeasures/rmsea.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "RMSEA"
+msgstr "近似均方根误差"
+
+#: cfa/results/modelFit/fitMeasures.columns.superTitle
+#: pca/results/modelFit/fit.columns.superTitle
+msgid "RMSEA 90% CI"
+msgstr "近似均方根误差的90%置信区间"
+
+#: logRegBin/ui[7][0][2][0].label
+msgid "ROC"
+msgstr "ROC"
+
+#: logRegBin/results/models.template/pred/rocPlot.title
+msgid "ROC Curve"
+msgstr "ROC曲线"
+
+#: logRegBin/options/rocPlot.title
+msgid "ROC curve"
+msgstr "ROC曲线"
+
+#: R/descriptives.b.R
+#: descriptives/options/range.title
+#: linReg/results/models.template/dataSummary/cooks.columns.superTitle
+#: logRegBin/results/models.template/dataSummary/cooks.columns.superTitle
+msgid "Range"
+msgstr "全距"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Rank biserial correlation"
+msgstr "秩二列相关系数"
+
+#: logLinear/ui[4][0][1][0].label
+msgid "Rate Ratio"
+msgstr "率比"
+
+#: logLinear/options/RR.title
+#: logLinear/results/models.template/coef.columns.title
+msgid "Rate ratio"
+msgstr "率比"
+
+#: propTestN/ui[2]/ratio.columns.label
+msgid "Ratio"
+msgstr "比"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+msgid "Reference Level"
+msgstr "参考水平"
+
+#: linReg/options/refLevels.title
+#: linReg/ui[2].label
+#: logLinear/options/refLevels.title
+#: logLinear/ui[2].label
+#: logRegBin/options/refLevels.title
+#: logRegBin/ui[2].label
+#: logRegMulti/options/refLevels.title
+#: logRegMulti/ui[2].label
+#: logRegOrd/options/refLevels.title
+#: logRegOrd/ui[2].label
+msgid "Reference Levels"
+msgstr "参考水平"
+
+#: linReg/ui[2][1]/intercept_refLevel.label
+msgid "Reference level (dummy coding)"
+msgstr "参考水平(虚拟变量)"
+
+#: package/analyses/corrMatrix.menuGroup
+#: package/analyses/corrPart.menuGroup
+#: package/analyses/linReg.menuGroup
+#: package/analyses/logRegBin.menuGroup
+#: package/analyses/logRegMulti.menuGroup
+#: package/analyses/logRegOrd.menuGroup
+#: corrMatrix/options.menuGroup
+#: corrPart/options.menuGroup
+#: linReg/options.menuGroup
+#: logRegBin/options.menuGroup
+#: logRegMulti/options.menuGroup
+#: logRegOrd/options.menuGroup
+msgid "Regression"
+msgstr "回归"
+
+#: contTables/options/relRisk.title
+#: contTables/results/odds.columns.content
+msgid "Relative risk"
+msgstr "相对危险度"
+
+#: package/analyses/reliability.title
+#: package/analyses/reliability.menuTitle
+#: package/analyses/reliability.description
+#: reliability/options.title
+#: reliability/options.description.main
+#: reliability/ui.title
+#: reliability/results.title
+msgid "Reliability Analysis"
+msgstr "信度分析"
+
+#: ancova/options/contrasts.template/type/repeated.title
+#: anova/options/contrasts.template/type/repeated.title
+#: anovaRM/options/contrasts.template/type/repeated.title
+msgid "Repeated"
+msgstr "重复"
+
+#: package/analyses/anovaRM.title
+#: package/analyses/anovaRM.menuTitle
+#: package/analyses/anovaRMNP.menuTitle
+#: anovaRM/options.title
+#: anovaRM/ui.title
+#: anovaRM/results.title
+#: anovaRMNP/options.menuTitle
+msgid "Repeated Measures ANOVA"
+msgstr "重复测量方差分析"
+
+#: package/analyses/anovaRMNP.title
+#: anovaRMNP/options.title
+#: anovaRMNP/ui.title
+#: anovaRMNP/results.title
+msgid "Repeated Measures ANOVA (Non-parametric)"
+msgstr "重复测量方差分析 (非参数法)"
+
+#: anovaRM/options/rmCells.title
+msgid "Repeated Measures Cells"
+msgstr "重复测量单元"
+
+#: anovaRM/ui[2]/rmcModelSupplier.label
+msgid "Repeated Measures Components"
+msgstr "重复测量内容"
+
+#: anovaRM/options/rm.title
+#: anovaRM/ui/variablesupplier/rm.label
+msgid "Repeated Measures Factors"
+msgstr "重复测量因子"
+
+#: anovaOneW/options/phSig.title
+#: corrMatrix/options/sig.title
+#: corrPart/options/sig.title
+msgid "Report significance"
+msgstr "报告p值"
+
+#: R/linreg.b.R
+msgid "Represents grand mean"
+msgstr "表示总平均"
+
+#: R/linreg.b.R
+msgid "Represents reference level"
+msgstr "表示参考水平"
+
+#: R/anovarm.b.R
+msgid "Residual"
+msgstr "残差"
+
+#: cfa/options/resCov.title
+#: cfa/ui[1].label
+#: cfa/ui[1]/resCovSupplier[0].label
+#: cfa/results/resEst/resCov.title
+msgid "Residual Covariances"
+msgstr "剩余协方差"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.title
+msgid "Residual Covariances – Modification Indices"
+msgstr "剩余协方差 – 修正指数"
+
+#: cfa/results/resEst.title
+msgid "Residual Estimates"
+msgstr "残差估计值"
+
+#: cfa/results/resEst/resIntercept.title
+msgid "Residual Intercepts"
+msgstr "残差截距"
+
+#: cfa/options/resCovEst.title
+msgid "Residual covariances"
+msgstr "剩余协方差"
+
+#: cfa/options/resInterceptEst.title
+msgid "Residual intercepts"
+msgstr "残差截距"
+
+#: linReg/options/resPlots.title
+msgid "Residual plots"
+msgstr "残差图"
+
+#: R/ancova.b.R
+msgid "Residual sum of squares and/or degrees of freedom is zero, indicating a perfect fit"
+msgstr "剩余平方和与/或自由度为零，表示拟合较好"
+
+#: R/ancova.b.R
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/mancova.b.R
+#: ancova/options/residsOV.title
+#: ancova/results/residsOV.title
+#: anova/options/residsOV.title
+#: anova/results/residsOV.title
+#: linReg/options/residsOV.title
+#: linReg/results/residsOV.title
+#: logRegBin/options/residsOV.title
+#: logRegBin/results/residsOV.title
+msgid "Residuals"
+msgstr "残差"
+
+#: linReg/results/models.template/assump/resPlots.title
+msgid "Residuals Plots"
+msgstr "残差图"
+
+#: cfa/results/modelPerformance/corRes.title
+msgid "Residuals for Observed Correlation Matrix"
+msgstr "实际相关矩阵残差"
+
+#: R/anova.b.R
+msgid "Residuals from ANOVA"
+msgstr "方差分析残差"
+
+#: cfa/options/corRes.title
+msgid "Residuals observed correlation matrix"
+msgstr "实际相关矩阵残差"
+
+#: package/analyses/empty.title
+#: package/analyses/empty.menuTitle
+#: cfa/ui[3][0][0].label
+#: empty/options.title
+#: empty/ui.title
+#: empty/results.title
+msgid "Results"
+msgstr "结果"
+
+#: reliability/options/revItems.title
+#: reliability/ui[2].label
+#: reliability/ui[2]/revItemsSupplier[0].label
+msgid "Reverse Scaled Items"
+msgstr "反向计分条目"
+
+#: efa/options/rotation.title
+#: pca/options/rotation.title
+msgid "Rotation"
+msgstr "旋转"
+
+#: contTables/options/pcRow.title
+#: contTablesPaired/options/pcRow.title
+msgid "Row"
+msgstr "行"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+msgid "Row variable '{var}' contains fewer than 2 levels"
+msgstr "行变量“{var}”的水平数少于2个"
+
+#: contTables/options/rows.title
+#: contTables/options/xaxis/xrows.title
+#: contTablesPaired/options/rows.title
+msgid "Rows"
+msgstr "行"
+
+#: R/conttables.b.R
+msgid "Rows compared"
+msgstr ""
+
+#: mancova/options/multivar/roy.title
+#: mancova/results/multivar.columns.content
+msgid "Roy's Largest Root"
+msgstr "Roy's 最大根法"
+
+#: linReg/options/r2.title
+#: linReg/results/modelFit.columns.title
+msgid "R²"
+msgstr "决定系数R²"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>CS</sub>"
+msgstr "决定系数R²<sub>CS</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>McF</sub>"
+msgstr "决定系数R²<sub>McF</sub>"
+
+#: logLinear/results/modelFit.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegOrd/results/modelFit.columns.title
+msgid "R²<sub>N</sub>"
+msgstr "决定系数R²<sub>N</sub>"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/desc.columns.title
+#: linReg/results/models.template/dataSummary/cooks.columns.title
+#: logRegBin/results/models.template/dataSummary/cooks.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SD"
+msgstr "标准差"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: ancova/results/contrasts.template.columns.title
+#: anovaOneW/results/desc.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: ttestIS/results/desc.columns.title
+#: ttestOneS/results/descriptives.columns.title
+#: ttestPS/results/desc.columns.title
+msgid "SE"
+msgstr "标准误"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "SE difference"
+msgstr "均数差标准误"
+
+#: cfa/options/fitMeasures/srmr.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+msgid "SRMR"
+msgstr "标准化均方根残差"
+
+#: pca/results/factorStats/factorSummary.columns.title
+msgid "SS Loadings"
+msgstr "SS载荷"
+
+#: descriptives/ui[2][0][0].label
+msgid "Sample Size"
+msgstr "样本量"
+
+#: ancova/ui[7].label
+#: anova/ui[7].label
+#: efa/ui[2].label
+#: linReg/ui[7].label
+#: logRegBin/ui[8].label
+#: pca/ui[2].label
+#: reliability/ui[3].label
+msgid "Save"
+msgstr "保存"
+
+#: package/analyses/reliability.menuSubgroup
+msgid "Scale Analysis"
+msgstr "量表分析"
+
+#: reliability/results/scale.title
+msgid "Scale Reliability Statistics"
+msgstr "量表信度统计"
+
+#: reliability/ui[1][0][0].label
+msgid "Scale Statistics"
+msgstr "标度统计"
+
+#: cfa/ui[2][1][0]/constrain_facInd.label
+msgid "Scale factor = scale first indicator"
+msgstr "量表因子=以第一个为参照"
+
+#: ancova/options/postHocCorr/scheffe.title
+#: anova/options/postHocCorr/scheffe.title
+#: anovaRM/options/postHocCorr/scheffe.title
+msgid "Scheffe"
+msgstr "Scheffe法"
+
+#: R/pca.b.R
+msgid "Score Component"
+msgstr "成分的得分"
+
+#: R/pca.b.R
+msgid "Score Factor"
+msgstr "得分因子"
+
+#: R/pca.b.R
+msgid "Score for component"
+msgstr "成分的得分"
+
+#: R/pca.b.R
+msgid "Score for factor {i}. Estimated using the '{fsMethod}' method."
+msgstr "因子 {i} 的分数. 使用“{fsMethod}”方法估计"
+
+#: pca/results/eigen/screePlot.title
+msgid "Scree Plot"
+msgstr "碎石图"
+
+#: efa/options/screePlot.title
+#: pca/options/screePlot.title
+msgid "Scree plot"
+msgstr "碎石图"
+
+#: corrPart/options/type/semi.title
+msgid "Semipartial"
+msgstr "半偏相关"
+
+#: R/corrpart.b.R
+msgid "Semipartial Correlation"
+msgstr "半偏相关"
+
+#: R/logregbin.b.R
+#: logRegBin/options/sens.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Sensitivity"
+msgstr "灵敏度"
+
+#: R/descriptives.b.R
+#: ancova/results/assump/norm.columns.content
+#: descriptives/options/sw.title
+#: linReg/results/models.template/assump/norm.columns.content
+msgid "Shapiro-Wilk"
+msgstr "Shapiro-Wilk检验"
+
+#: mancova/results/assump/shapiro.title
+msgid "Shapiro-Wilk Multivariate Normality Test"
+msgstr "Shapiro-Wilk多元正态性检验"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk W"
+msgstr "Shapiro-Wilk W统计量"
+
+#: R/descriptives.b.R
+msgid "Shapiro-Wilk p"
+msgstr "Shapiro-Wilk  p值"
+
+#: mancova/ui[1][1][0]/shapiro.label
+msgid "Shapiro-Wilk test"
+msgstr "Shapiro-Wilk 检验"
+
+#: mancova/options/shapiro.title
+msgid "Shapiro-Wilk test for multivariate normality"
+msgstr "Shapiro-Wilk多元正态性检验"
+
+#: contTables/options/bartype/dodge.title
+msgid "Side by side"
+msgstr "并排"
+
+#: ancova/options/contrasts.template/type/simple.title
+#: anova/options/contrasts.template/type/simple.title
+#: anovaRM/options/contrasts.template/type/simple.title
+msgid "Simple"
+msgstr "简单"
+
+#: efa/options/rotation/simplimax.title
+#: pca/options/rotation/simplimax.title
+msgid "Simplimax"
+msgstr "最简法"
+
+#: R/pca.b.R
+msgid "Simulations"
+msgstr "模拟"
+
+#: R/ancova.b.R
+msgid "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables."
+msgstr "发生奇异拟合：一个或多个预测变量是其他预测变量的线性组合。"
+
+#: R/anovarm.b.R
+msgid "Singularity error. Sphericity tests are not available"
+msgstr "奇点错误，球形检验不能运行"
+
+#: R/descriptives.b.R
+#: descriptives/options/skew.title
+msgid "Skewness"
+msgstr "偏度"
+
+#: efa/options/sortLoadings.title
+#: pca/options/sortLoadings.title
+msgid "Sort loadings by size"
+msgstr "按载荷大小排序"
+
+#: corrMatrix/options/spearman.title
+#: corrMatrix/ui[1][0]/spearman.label
+#: corrPart/options/spearman.title
+#: corrPart/ui[1][0]/spearman.label
+msgid "Spearman"
+msgstr "Spearman系数"
+
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "Spearman's rho"
+msgstr "Spearman相关系数rho"
+
+#: R/logregbin.b.R
+#: logRegBin/options/spec.title
+#: logRegBin/results/models.template/pred/measures.columns.title
+msgid "Specificity"
+msgstr "特异度"
+
+#: anovaRM/results/rmTable.columns.title
+msgid "Sphericity Correction"
+msgstr "球形度校正"
+
+#: anovaRM/options/spherCorr.title
+#: anovaRM/ui[3][1][0].label
+msgid "Sphericity corrections"
+msgstr "球形度校正"
+
+#: anovaRM/options/spherTests.title
+msgid "Sphericity tests"
+msgstr "球形度检验"
+
+#: descriptives/options/splitBy.title
+#: descriptives/ui[0][1].label
+msgid "Split by"
+msgstr "拆分"
+
+#: R/mancova.b.R
+msgid "Squared Mahalanobis Distance"
+msgstr "平方马氏距离"
+
+#: contTables/options/bartype/stack.title
+#: descriptives/options/dotType/stack.title
+msgid "Stacked"
+msgstr "堆积"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "Stand. Estimate"
+msgstr "标准化系数"
+
+#: anova/options/emmPlotError/se.title
+#: contTables/results/gamma.columns.title
+msgid "Standard Error"
+msgstr "标准误"
+
+#: R/descriptives.b.R
+#: descriptives/options/sd.title
+#: reliability/options/sdScale.title
+#: reliability/options/sdItems.title
+msgid "Standard deviation"
+msgstr "标准差"
+
+#: ancova/options/emmPlotError/se.title
+#: anovaRM/options/emmPlotError/se.title
+#: descriptives/options/se.title
+msgid "Standard error"
+msgstr "标准误"
+
+#: linReg/ui[5][0][1][0].label
+msgid "Standardized Estimate"
+msgstr "标准化系数"
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Standardized Residuals"
+msgstr "标准化残差"
+
+#: cfa/options/stdEst.title
+#: linReg/options/stdEst.title
+msgid "Standardized estimate"
+msgstr "标准化系数"
+
+#: ancova/results/assump/norm.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Statistic"
+msgstr "统计量"
+
+#: anovaOneW/ui[2][0][1][0].label
+#: cfa/ui[3][1][0].label
+#: contTables/ui[1][0].label
+#: corrMatrix/options/plotStats.title
+#: descriptives/ui[2].label
+#: propTest2/ui[2][1][0].label
+msgid "Statistics"
+msgstr "统计"
+
+#: descriptives/ui[2][2][0][0]/sd.label
+msgid "Std. deviation"
+msgstr "标准差"
+
+#: R/descriptives.b.R
+msgid "Std. error kurtosis"
+msgstr "峰度标准误"
+
+#: R/descriptives.b.R
+msgid "Std. error mean"
+msgstr "均值标准误"
+
+#: descriptives/ui[2][2][1][0]/se.label
+msgid "Std. error of Mean"
+msgstr "均值标准误"
+
+#: R/descriptives.b.R
+msgid "Std. error skewness"
+msgstr "偏度标准误"
+
+#: ttestIS/options/students.title
+#: ttestOneS/ui[1][0][0]/students.label
+#: ttestPS/ui[1][0][0]/students.label
+msgid "Student's"
+msgstr "Student's法"
+
+#: ttestIS/results/ttest.columns.content
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Student's t"
+msgstr "Student's t值"
+
+#: ttestOneS/options/students.title
+#: ttestPS/options/students.title
+msgid "Student's test"
+msgstr "Student's t检验"
+
+#: R/descriptives.b.R
+#: R/reliability.b.R
+#: descriptives/options/sum.title
+msgid "Sum"
+msgstr "总数"
+
+#: ancova/results/main.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: mancova/results/univar.columns.title
+msgid "Sum of Squares"
+msgstr "平方和"
+
+#: ancova/options/ss.title
+#: anova/options/ss.title
+#: anovaRM/options/ss.title
+msgid "Sum of squares"
+msgstr "平方和"
+
+#: reliability/options/sumScoreOV.title
+#: reliability/results/sumScoreOV.title
+msgid "Sum score"
+msgstr "总分"
+
+#: pca/results/factorStats/factorSummary.title
+msgid "Summary"
+msgstr "摘要"
+
+#: package/analyses/ttestIS.menuGroup
+#: package/analyses/ttestPS.menuGroup
+#: package/analyses/ttestOneS.menuGroup
+#: ttestIS/options.menuGroup
+#: ttestOneS/options.menuGroup
+#: ttestPS/options.menuGroup
+msgid "T-Tests"
+msgstr "T检验"
+
+#: cfa/options/fitMeasures/tli.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: pca/results/modelFit/fit.columns.title
+msgid "TLI"
+msgstr "TLI指数"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockName.label
+msgid "Term 1"
+msgstr "项1"
+
+#: jamovi/js/ancova.events.js:51
+#: jamovi/js/ancova.events.js:7
+#: jamovi/js/anova.js:45
+#: jamovi/js/anova.js:9
+#: jamovi/js/anovarm.events.js:16
+#: jamovi/js/anovarm.events.js:77
+#: jamovi/js/linreg.events.js:10
+#: jamovi/js/linreg.events.js:47
+#: jamovi/js/loglinear.events.js:10
+#: jamovi/js/loglinear.events.js:52
+#: jamovi/js/logregbin.events.js:10
+#: jamovi/js/logregbin.events.js:61
+msgid "Term {0}"
+msgstr "项{0}"
+
+#: ttestOneS/options/testValue.title
+msgid "Test Value"
+msgstr "检验值"
+
+#: cfa/ui[4][0][0][0].label
+#: cfa/results/modelFit/test.title
+msgid "Test for Exact Fit"
+msgstr "精确拟合检验"
+
+#: anovaOneW/options/phTest.title
+msgid "Test results (t and df)"
+msgstr "检验结果(t值和自由度df)"
+
+#: cfa/options/estTest.title
+msgid "Test statistics"
+msgstr "检验统计"
+
+#: propTest2/options/testValue.title
+#: ttestOneS/ui[1][0][1][0]/testValue.label
+msgid "Test value"
+msgstr "检验值"
+
+#: contTables/ui[1][0][0][0][0].label
+#: ttestIS/ui[1][0][0].label
+#: ttestOneS/ui[1][0][0].label
+#: ttestPS/ui[1][0][0].label
+msgid "Tests"
+msgstr "检验"
+
+#: anovaRM/results/assump/spherTable.title
+msgid "Tests of Sphericity"
+msgstr "球形度检验"
+
+#: package/datasets/Anderson's Iris Data.description
+msgid "The 'iris' data set from R"
+msgstr "来自R的“iris”数据集"
+
+#: R/descriptives.b.R
+msgid "The 'split by' variable '{var}' contains no data."
+msgstr "“拆分”变量“{var}”没有数据。"
+
+#: package/analyses/ancova.description
+#: ancova/options.description.main
+msgid "The Analysis of Covariance (ANCOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, one or more categorical\n"
+"explanatory variables, and one or more continuous explanatory variables\n"
+"(or covariates). It is essentially the same analysis as ANOVA, but\n"
+"with the addition of covariates."
+msgstr "协方差分析（ANCOVA）用于探索一个连续性因变量与一个或多个分类变量或连续性变量（或协变量）之间的关系。其本质与方差分析相同，只是增加了协变量。"
+
+#: package/analyses/anova.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables."
+msgstr "方差分析（ANOVA）用于探索一个连续性因变量与一个或多个分类变量之间的关系。"
+
+#: anova/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables.\n"
+"\n"
+"ANOVA assumes that the residuals are normally distributed, and that the\n"
+"variances of all groups are equal. If one is unwilling to assume that\n"
+"the variances are equal, then a Welch's test can be used instead\n"
+"(However, the Welch's test does not support more than one explanatory\n"
+"factor). Alternatively, if one is unwilling to assume that the data is\n"
+"normally distributed, a non-parametric approach (such as Kruskal-Wallis)\n"
+"can be used."
+msgstr "方差分析（ANOVA）用于探索一个连续性因变量与一个或多个分类变量之间的关系。\n"
+"方差分析假设残差为正态分布，且所有组的方差相等。如果不满足方差齐性，可使用Welch's 检验（但是Welch's 检验不能用于分析因素≥2的情况）。如果正态性和方差齐性都不满足，可以使用非参数检验（如Kruskal-Wallis检验）。"
+
+#: package/analyses/anovaOneW.description
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal."
+msgstr "方差分析（ANOVA）用于探索一个连续性因变量与一个或多个分类变量之间的关系。单因素方差分析是方差分析中最简单的一种，只有一个分组因素，但也提供了Welch's校正法。Welch's校正法不需要假设所有组的方差相等。"
+
+#: anovaOneW/options.description.main
+msgid "The Analysis of Variance (ANOVA) is used to explore the relationship\n"
+"between a continuous dependent variable, and one or more categorical\n"
+"explanatory variables. This 'One-Way ANOVA' is a simplified version of\n"
+"the 'normal' ANOVA, allowing only a single explanatory factor, however\n"
+"also providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\n"
+"it need not assume that the variances of all groups are equal.\n"
+"\n"
+"For convenience, this method allows specifying multiple dependent\n"
+"variables, resulting in multiple independent tests.\n"
+"\n"
+"Note that the Welch's ANOVA is the same procedure as the Welch's\n"
+"independent samples t-test."
+msgstr "方差分析（ANOVA）用于探索一个连续性因变量与一个或多个分类变量之间的关系。单因素方差分析是方差分析中最简单的一种，只有一个分组因素，但也提供了Welch's校正法。Welch's校正法不需要假设所有组的方差相等。\n"
+"为方便起见，该方法允许选择多个因变量，分别开展分析。\n"
+"需要注意的是，Welch's方差分析与Welch's独立样本t检验的过程相同。"
+
+#: package/analyses/propTest2.description
+#: propTest2/options.description.main
+msgid "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value."
+msgstr "二项分布检验用于检验某观察比例是否与某个期望比例相同。如果P值较低（低于检验水准）则拒绝原假设，表明观察比例与期望比例不同。"
+
+#: package/analyses/anovaRMNP.description
+#: anovaRMNP/options.description.main
+msgid "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "Friedman检验用于探索连续性因变量和分类变量之间的关系，其特点为这些连续性因变量的数值都是来自相同个体。Friedman检验具有非参数检验的优点，相比重复测量方差分析，不需要数据满足正态性和方差齐性的条件。但是，该方法只能用于探索一个分类变量与因变量之间的关系。"
+
+#: package/analyses/anovaNP.description
+#: anovaNP/options.description.main
+msgid "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time."
+msgstr "Kruskal-Wallis检验用于探索一个连续性因变量和分类变量之间的关系。Kruskal-Wallis检验具有非参数检验方法的优点，相比方差分析，适用条件更为宽松，不需要数据满足正态性和方差齐性的条件。但是，该方法只能用于探索一个分类变量与因变量之间的关系。"
+
+#: package/analyses/anovaRM.description
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well."
+msgstr "重复测量方差分析用于探索连续性因变量和一个或多个分类变量之间的关系，其特点为这些连续性因变量的数值都是来自相同个体。此外，该分析模块下可以纳入协变量，即可开展重复测量协方差分析。"
+
+#: anovaRM/options.description.main
+msgid "The Repeated Measures ANOVA is used to explore the relationship\n"
+"between a continuous dependent variable and one or more categorical\n"
+"explanatory variables, where one or more of the explanatory variables\n"
+"are 'within subjects' (where multiple measurements are from the same\n"
+"subject). Additionally, this analysis allows the inclusion of\n"
+"covariates, allowing for repeated measures ANCOVAs as well.\n"
+"\n"
+"This analysis requires that the data be in 'wide format', where each\n"
+"row represents a subject (as opposed to long format, where each\n"
+"measurement of the dependent variable is represented as a row).\n"
+"\n"
+"A non-parametric equivalent of the repeated measures ANOVA also exists;\n"
+"the Friedman test. However, it has the limitation of only being able to\n"
+"test a single factor."
+msgstr "重复测量方差分析用于探索连续性因变量和一个或多个分类变量之间的关系，其特点为这些连续性因变量的数值都是来自相同个体。此外，该分析模块下可以纳入协变量，即可开展重复测量协方差分析。\n"
+"该分析要求数据采用“宽格式”，其中每行代表一个受试对象（与长格式相反，在长格式中，因变量的每个测量值代表一行）。\n"
+"Friedman检验是重复测量方差分析的非参数检验方法，只不过该方法只能用于探索一个分类变量与因变量之间的关系。"
+
+#: package/analyses/ttestIS.description
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different."
+msgstr "独立样本t检验（有时也称为两样本t检验）用于检验两组均值是否相同。如果P值较低（低于检验水准）则拒绝原假设，表明两组均值不同。"
+
+#: ttestIS/options.description.main
+msgid "The Student's Independent samples t-test (sometimes called a two-samples\n"
+"t-test) is used to test the null hypothesis that two groups have the\n"
+"same mean. A low p-value suggests that the null hypothesis is not true,\n"
+"and therefore the group means are different.\n"
+"\n"
+"The Student's independent t-test assumes that the data from each group\n"
+"are from a normal distribution, and that the variances of these groups\n"
+"are equal. If unwilling to assume the groups have equal variances, the\n"
+"Welch's t-test can be used in it's place. If one is additionally\n"
+"unwilling to assume the data from each group are from a normal\n"
+"distribution, the non-parametric Mann-Whitney U test can be used instead\n"
+"(However, note that the Mann-Whitney U test has a slightly different\n"
+"null hypothesis; that the distributions of each group is equal)."
+msgstr "独立样本t检验（有时也称为两样本t检验）用于检验两组均值是否相同。如果P值较低（低于检验水准）则拒绝零假设，表明两组均值不同。\n"
+"独立样本t检验适用前提是假设数据服从正态分布，且两组方差相等。如果不满足方差齐性条件，可使用Welch's t检验。如果正态性和方差齐性都不满足可使用非参数Mann-Whitney U检验。需要注意的是，Mann-Whitney U检验的零假设是两组的分布相同。"
+
+#: package/analyses/ttestOneS.description
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value."
+msgstr "单样本t检验用于比较样本均值是否与某个特定的均值相等。如果P值较低（低于检验水准）则拒绝零假设，表明样本均值与特定均值不等。"
+
+#: ttestOneS/options.description.main
+msgid "The Student's One-sample t-test is used to test the null hypothesis that\n"
+"the true mean is equal to a particular value (typically zero). A low\n"
+"p-value suggests that the null hypothesis is not true, and therefore\n"
+"the true mean must be different from the test value.\n"
+"\n"
+"The Student's One-sample t-test assumes that the data are from a normal\n"
+"distribution -- in the case that one is unwilling to assume this, the\n"
+"non-parametric Wilcoxon signed-rank can be used in it's place (However,\n"
+"note that the Wilcoxon signed-rank has a slightly different null\n"
+"hypothesis; that the *median* is equal to the test value)."
+msgstr "单样本t检验用于比较样本均值是否与某个特定的均值相等。如果P值较低（低于检验水准）则拒绝零假设，表明样本均值与特定均值不等。\n"
+"单样本t检验适用前提是假设数据服从正态分布。如果不满足正态性条件，可使用Wilcoxon 符号秩检验。需要注意的是，Wilcoxon 符号秩检验的零假设是样本中位数与某个特定的中位数相等。"
+
+#: package/analyses/ttestPS.description
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero."
+msgstr "配对样本t检验（有时也称为相关样本t检验）用于比较配对样本差值是否为0。如果P值较低（低于检验水准）则拒绝零假设，表明配对样本差值不为0。"
+
+#: ttestPS/options.description.main
+msgid "The Student's paired samples t-test (sometimes called a\n"
+"dependent-samples t-test) is used to test the null hypothesis that the\n"
+"difference between pairs of measurements is equal to zero. A low p-value\n"
+"suggests that the null hypothesis is not true, and that the\n"
+"difference between the measurement pairs is not zero.\n"
+"\n"
+"The Student's paired samples t-test assumes that pair differences follow\n"
+"a normal distribution -- in the case that one is unwilling to assume\n"
+"this, the non-parametric Wilcoxon signed-rank can be used in it's place\n"
+"(However, note that the Wilcoxon signed-rank has a slightly different\n"
+"null hypothesis; that the two groups of measurements follow the same\n"
+"distribution)."
+msgstr "配对样本t检验（有时也称为相关样本t检验）用于比较配对样本差值是否为0。如果P值较低（低于检验水准）则拒绝零假设，表明配对样本差值不为0。\n"
+"配对样本t检验适用前提是假设差值服从正态分布。如果不满足正态性条件，可使用Wilcoxon 符号秩检验。需要注意的是，Wilcoxon 符号秩检验的零假设是两配对样本具有相同的分布。"
+
+#: R/logregbin.b.R
+msgid "The cut-off value is set to {}"
+msgstr "截断值设置为{}"
+
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+msgid "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression."
+msgstr "因变量“{DEP}”只有两个水平，因此可考虑使用二分类Logistic回归。"
+
+#: R/logregord.b.R
+msgid "The dependent variable '{dep}' has the following order: {orderedLevels}"
+msgstr "因变量“{dep}”的顺序如下：{orderedLevels}"
+
+#: R/logregbin.b.R
+msgid "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels."
+msgstr "因变量“{}”的水平多于两个；二分类logistic回归只能对两水平的因变量进行分析。"
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels"
+msgstr "重复测量只有两个水平。当重复测量只有两个水平时，始终满足球形假设"
+
+#: R/anovarm.b.R
+msgid "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels."
+msgstr "重复测量只有两个水平。当重复测量只有两个水平时，始终满足球形假设。"
+
+#: ancova/results/model.description
+#: anova/results/model.description
+msgid "The underlying `aov` object"
+msgstr "潜在的`aov` 对象"
+
+#: R/descriptives.b.R
+msgid "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable."
+msgstr "变量{var}不是数值型。不能为此变量绘图。"
+
+#: R/descriptives.b.R
+msgid "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables."
+msgstr "这些变量{var}不是数值型。不能为这些变量绘图。"
+
+#: package/analyses/propTestN.description
+#: propTestN/options.description.main
+msgid "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested."
+msgstr "拟合优度χ²检验（要与独立χ²检验相区别）用于检验某观察值的比例是否与预期比例相同。如果P值较低（低于检验水准）则拒绝零假设，表明观察值的比例与预期比例不同。"
+
+#: package/analyses/contTables.description
+#: contTables/options.description.main
+msgid "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables."
+msgstr "关联χ²检验（要与拟合优度χ²检验相区别）用于检验两个分类变量是否具有关联。如果P值较低（低于检验水准），表明两个分类变量不独立，具有相关性。"
+
+#: R/ancova.b.R
+#: R/anovaonew.b.R
+#: R/anovarm.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Theoretical Quantiles"
+msgstr "理论分位数"
+
+#: package.description
+msgid "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc)."
+msgstr "此模块罗列了jamovi中包含的分析方法。包含许多常见分析（如t检验、方差分析、回归、相关矩阵、比例检验、列联表、因子分析等）。"
+
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Threshold"
+msgstr "阈值"
+
+#: logRegOrd/ui[4][0][0][1].label
+msgid "Thresholds"
+msgstr "阈值"
+
+#: efa/options/factorScoreMethod/Thurstone.title
+msgid "Thurstone"
+msgstr "Thurstone 法"
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "Tolerance"
+msgstr "容忍度"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too few observations (N < 3) to compute statistic"
+msgstr "观测值太少（N < 3）不能计算统计量"
+
+#: R/mancova.b.R
+msgid "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables."
+msgstr "观测值太少不能计算统计量。每个（亚）组必须至少包含与因变量相同的观测值。"
+
+#: R/ttestis.b.R
+msgid "Too few samples to compute statistic (N < 3)"
+msgstr "样本量太小（N < 3）不能计算统计量"
+
+#: R/anovaonew.b.R
+msgid "Too few samples to compute statistic (N < {n})"
+msgstr "样本量太小(N < {n})不能计算统计量"
+
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "Too many observations (N > 5000) to compute statistic"
+msgstr "观测值太多 (N > 5000) 不能计算统计量"
+
+#: R/ttestis.b.R
+msgid "Too many samples to compute statistic (N > 5000)"
+msgstr "样本量太大 (N > 5000) 不能计算统计量"
+
+#: R/anovaonew.b.R
+msgid "Too many samples to compute statistic (N > {n})"
+msgstr "样本量太大 (N > {n}) 不能计算统计量"
+
+#: package/datasets/Tooth Growth.name
+msgid "Tooth Growth"
+msgstr "Tooth Growth数据集"
+
+#: R/conttables.b.R
+#: R/conttablespaired.b.R
+#: contTables/options/pcTot.title
+#: propTest2/results/table.columns.title
+msgid "Total"
+msgstr "合计"
+
+#: ancova/options/postHocCorr/tukey.title
+#: anova/options/postHocCorr/tukey.title
+#: anovaRM/options/postHocCorr/tukey.title
+msgid "Tukey"
+msgstr "Tukey法"
+
+#: anovaOneW/ui[2][0][0][0]/phMethod_tukey.label
+msgid "Tukey (equal variances)"
+msgstr "Tukey法(方差齐)"
+
+#: R/anovaonew.b.R
+msgid "Tukey Post-Hoc Test – {dep}"
+msgstr "Tukey 事后检验法 – {dep}"
+
+#: ancova/options/ss/1.title
+#: anova/options/ss/1.title
+msgid "Type 1"
+msgstr "类型1"
+
+#: ancova/options/ss/2.title
+#: anova/options/ss/2.title
+#: anovaRM/options/ss/2.title
+msgid "Type 2"
+msgstr "类型2"
+
+#: ancova/options/ss/3.title
+#: anova/options/ss/3.title
+#: anovaRM/options/ss/3.title
+msgid "Type 3"
+msgstr "类型3"
+
+#: R/linreg.b.R
+msgid "Type 3 sum of squares"
+msgstr "类型3平方和"
+
+#: R/anovarm.b.R
+msgid "Type {ssType} Sums of Squares"
+msgstr "类型{ssType} 平方和"
+
+#: R/descriptives.b.R
+msgid "Unable to split by a continuous variable"
+msgstr "不能使用连续性变量拆分"
+
+#: pca/results/loadings.columns.title
+msgid "Uniqueness"
+msgstr "独特剩余值"
+
+#: mancova/results/univar.title
+msgid "Univariate Tests"
+msgstr "单变量检验"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/fitMeasures.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/gamma.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: propTest2/results/table.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "Upper"
+msgstr "上限"
+
+#: linReg/results/models.template/assump/collin.columns.title
+#: logRegBin/results/models.template/assump/collin.columns.title
+msgid "VIF"
+msgstr "方差膨胀因子"
+
+#: R/anovarmnp.b.R
+#: contTables/results/chiSq.columns.title
+#: contTables/results/odds.columns.title
+#: contTables/results/nom.columns.title
+#: contTablesPaired/results/test.columns.title
+msgid "Value"
+msgstr "值"
+
+#: propTest2/options/areCounts.title
+msgid "Values are counts"
+msgstr "值为计数资料"
+
+#: linReg/ui[2]/refLevels.columns.label
+#: logLinear/ui[2]/refLevels.columns.label
+#: logRegBin/ui[2]/refLevels.columns.label
+#: logRegMulti/ui[2]/refLevels.columns.label
+#: logRegOrd/ui[2]/refLevels.columns.label
+#: propTestN/options/var.title
+msgid "Variable"
+msgstr "变量"
+
+#: R/proptest2.b.R
+msgid "Variable '{var}' contains no data"
+msgstr "变量“{var}”中无数据"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable contains infinite values"
+msgstr "变量包含无限值"
+
+#: R/ttestones.b.R
+msgid "Variable does not contain enough observations"
+msgstr "变量中的个案数不够"
+
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+msgid "Variable is not numeric"
+msgstr "变量不是数值型"
+
+#: corrMatrix/options/vars.title
+#: corrPart/options/vars.title
+#: corrPart/ui/variablesupplier[0].label
+#: descriptives/options/vars.title
+#: descriptives/ui[0][0].label
+#: efa/options/vars.title
+#: pca/options/vars.title
+#: propTest2/options/vars.title
+msgid "Variables"
+msgstr "变量"
+
+#: descriptives/options/desc/columns.title
+msgid "Variables across columns"
+msgstr "列变量"
+
+#: descriptives/options/desc/rows.title
+msgid "Variables across rows"
+msgstr "行变量"
+
+#: R/conttables.b.R
+msgid "Variables must have at least two levels"
+msgstr "变量必须至少有两个水平"
+
+#: R/descriptives.b.R
+#: descriptives/options/variance.title
+msgid "Variance"
+msgstr "方差"
+
+#: anovaOneW/ui[1][0][0].label
+msgid "Variances"
+msgstr "方差"
+
+#: efa/options/rotation/varimax.title
+#: pca/options/rotation/varimax.title
+msgid "Varimax"
+msgstr "最大方差法"
+
+#: descriptives/options/violin.title
+msgid "Violin"
+msgstr "小提琴图"
+
+#: R/descriptives.b.R
+#: anovaOneW/results/assump/norm.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/normality.columns.title
+#: ttestPS/results/norm.columns.title
+msgid "W"
+msgstr "W值"
+
+#: R/linreg.b.R
+msgid "Weighted by '{varName}'"
+msgstr ""
+
+#: linReg/options/weights.title
+msgid "Weights (optional)"
+msgstr ""
+
+#: anovaOneW/results/anova.columns.content
+#: ttestIS/options/welchs.title
+msgid "Welch's"
+msgstr "Welch's法"
+
+#: ttestIS/results/ttest.columns.content
+msgid "Welch's t"
+msgstr "Welch's t值"
+
+#: ttestOneS/results/ttest.columns.content
+#: ttestPS/results/ttest.columns.content
+msgid "Wilcoxon W"
+msgstr "Wilcoxon W值"
+
+#: ttestOneS/ui[1][0][0]/wilcoxon.label
+#: ttestPS/ui[1][0][0]/wilcoxon.label
+msgid "Wilcoxon rank"
+msgstr "Wilcoxon 秩和检验"
+
+#: ttestOneS/options/wilcoxon.title
+#: ttestPS/options/wilcoxon.title
+msgid "Wilcoxon signed rank test"
+msgstr "Wilcoxon 符号秩检验"
+
+#: mancova/options/multivar/wilks.title
+#: mancova/results/multivar.columns.content
+msgid "Wilks' Lambda"
+msgstr "Wilks' Lambda法"
+
+#: anovaRM/results/rmTable.title
+msgid "Within Subjects Effects"
+msgstr "组内效应"
+
+#: contTables/ui[1][2][0][1][1].label
+msgid "X-Axis"
+msgstr "X轴"
+
+#: contTables/options/xaxis.title
+msgid "X-axis"
+msgstr "X轴"
+
+#: contTables/ui[1][2][0][1][0].label
+msgid "Y-Axis"
+msgstr "Y轴"
+
+#: contTables/options/yaxis.title
+msgid "Y-axis"
+msgstr "Y轴"
+
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+msgid "Z"
+msgstr "Z值"
+
+#: ancova/options/ss.description.R
+#: anova/options/ss.description.R
+msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
+msgstr "“1”、“2”或“3”（默认），使用平方和"
+
+#: anovaRM/options/ss.description.R
+msgid "`'2'` or `'3'` (default), the sum of squares to use"
+msgstr "“2”或“3”（默认），使用平方和"
+
+#: efa/options/factorScoreMethod.description.R
+msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
+msgstr "`'Thurstone'` (默认)、`'Bartlett'`、`'tenBerge'`、`'Anderson'` 或 `'Harman'` 分别表示使用 `'Thurstone 法'` (默认)、`'Bartlett法'`、`'tenBerge法'`、`'Anderson法'` 或 `'Harman法'` 估算因子得分"
+
+#: contTables/options/hypothesis.description.R
+#: ttestIS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
+msgstr "备择假设：`'different'` （默认）、`'oneGreater'`或`'twoGreater'`分别为组1与组2不同，组1大于组2，组2大于组1"
+
+#: ttestPS/options/hypothesis.description.R
+msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
+msgstr "备择假设：`'different'` （默认）、`'oneGreater'`或`'twoGreater'`分别为系数1与系数2不同，系数1大于系数2，系数2大于系数1"
+
+#: ttestOneS/options/hypothesis.description.R
+msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
+msgstr "备择假设：`‘dt’`（默认）、‘gt’或‘lt’`分别为与 `testValue`不同，大于 `testValue`和小于 `testValue`"
+
+#: cfa/options/constrain.description.R
+msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
+msgstr "`“facVar”或“facInd”表示如何在模型中设置约束参数；`”facVar'`为将因子方差固定为1，`facInd'为将每个因子的第一个水平设为参照。"
+
+#: cfa/options/miss.description.R
+msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
+msgstr "“listwise”或“fiml”表示如何处理缺失值；`'listwise'`为如果某行有数据缺失，则在所有分析中删除该行；`fiml为`使用完全信息最大似然法来估计模型。"
+
+#: anovaRMNP/options/plotType.description.R
+msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
+msgstr "`'means'` (默认) 或`'medians'`表示绘图的误差线"
+
+#: efa/options/extraction.description.R
+msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
+msgstr "`“minres”（默认）、“ml”或“pa”分别表示使用'minimum residual'、'maximum likelihood'或'prinicipal axis'作为因子提取方法"
+
+#: ancova/options/emmPlotError.description.R
+#: anova/options/emmPlotError.description.R
+#: anovaRM/options/emmPlotError.description.R
+msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
+msgstr "`'none'`、`'ci'` (默认)或`'se'`分别表示绘制边际均值图时不使用误差线, 使用置信区间线或标准误差线"
+
+#: anovaOneW/options/phMethod.description.R
+msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
+msgstr "`'none''、`'gamesHowell'`或`'tukey'`为事后检验方法。'none'`表示未进行事后检验，`'gamesHowell'`为方差不齐事后检验方法，`'tukey'`为方差齐的事后检验方法"
+
+#: pca/options/rotation.description.R
+msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
+msgstr "`'无'`、“最大方差法” (默认)、“四次方极大法”、“最优法”、“斜交法”或“最简法”为估计中使用的旋转方法"
+
+#: efa/options/rotation.description.R
+msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
+msgstr "`'无'`、“最大方差法”、“四次方极大法”、“最优法”、“斜交法”（默认）或“最简法”为估计中使用的旋转方法"
+
+#: propTest2/options/hypothesis.description.R
+msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
+msgstr "备择假设：`'notequal'`（默认）、`'greater'`或 `'less'`"
+
+#: efa/options/nFactorMethod.description.R
+#: pca/options/nFactorMethod.description.R
+msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
+msgstr "确定因子个数的方法：`'parallel'` （默认）、`'eigen'` 或`'fixed'`"
+
+#: ttestPS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
+msgstr "`'perAnalysis'` 或`'listwise'`表示如何处理缺失值；`'perAnalysis'`为只有分析的变量有缺失值时才删除该缺失值；`'listwise'`为如果某行有数据缺失，则在所有分析中删除该行"
+
+#: anovaOneW/options/miss.description.R
+#: ttestIS/options/miss.description.R
+#: ttestOneS/options/miss.description.R
+msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
+msgstr "`’perAnalysis’` 或`’listwise’`表示如何处理缺失值；`’perAnalysis’`为只有分析的变量有缺失值时才删除该缺失值；`’listwise’`为如果某行有数据缺失，则在所有分析中删除该行."
+
+#: linReg/options/intercept.description.R
+msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
+msgstr "`'refLevel'` (默认) 或`'grandMean'`, 截距的编码. 表示参考水平或总平均的截距"
+
+#: descriptives/options/desc.description.R
+msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
+msgstr "`'rows'`或 `'columns'`（默认）表示行变量或列变量（默认）"
+
+#: ancova/results/main.title
+msgid "`ANCOVA - ${dep}`"
+msgstr "`协方差分析- ${dep}`"
+
+#: anova/results/main.title
+msgid "`ANOVA - ${dep}`"
+msgstr "`方差分析- ${dep}`"
+
+#: linReg/results/models.template/coef.title
+msgid "`Model Coefficients - ${ dep }`"
+msgstr "`模型系数 - ${ dep }`"
+
+#: logRegBin/results/models.template/coef.title
+#: logRegMulti/results/models.template/coef.title
+#: logRegOrd/results/models.template/coef.title
+msgid "`Model Coefficients - ${dep}`"
+msgstr "`模型系数 - ${dep}`"
+
+#: propTestN/results/props.title
+msgid "`Proportions - ${var}`"
+msgstr "`比例 - ${var}`"
+
+#: ttestIS/options/students.description.R
+#: ttestOneS/options/students.description.R
+#: ttestPS/options/students.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
+msgstr "`正确` (默认) 或 `错误`, 执行Student's t检验"
+
+#: anovaOneW/options/welchs.description.R
+msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
+msgstr "`正确` (默认) 或 `错误`, 执行Welch's单因素方差分析，该方法不要求方差齐"
+
+#: cfa/options/estTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
+msgstr "`正确` (默认) 或 `错误`, 提供模型估计的'Z'值和'p'值"
+
+#: logLinear/options/aic.description.R
+#: logRegBin/options/aic.description.R
+#: logRegMulti/options/aic.description.R
+#: logRegOrd/options/aic.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "`正确` (默认) 或 `错误`, 提供模型的AIC"
+
+#: reliability/options/alphaScale.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
+msgstr "`正确` (默认) 或 `错误`, 提供Cronbach's α系数"
+
+#: corrMatrix/options/pearson.description.R
+#: corrPart/options/pearson.description.R
+msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
+msgstr "`正确` (默认) 或 `错误`, 提供Pearson's相关系数r"
+
+#: cfa/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
+msgstr "`正确` (默认) 或 `错误`, 提供精确拟合的卡方检验，并将拟合模型与完美拟合模型进行比较"
+
+#: linReg/options/ciEmm.description.R
+#: logLinear/options/ciEmm.description.R
+#: logRegBin/options/ciEmm.description.R
+#: logRegMulti/options/ciEmm.description.R
+msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
+msgstr "`正确` (默认) 或 `错误`, 提供边际估计均值的置信区间"
+
+#: ancova/options/emmPlots.description.R
+#: anova/options/emmPlots.description.R
+#: anovaRM/options/emmPlots.description.R
+#: linReg/options/emmPlots.description.R
+#: logLinear/options/emmPlots.description.R
+#: logRegBin/options/emmPlots.description.R
+#: logRegMulti/options/emmPlots.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
+msgstr "`正确` (默认) 或 `错误`, 提供边际估计均值图"
+
+#: cfa/options/factCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
+msgstr "`正确` (默认) 或 `错误`, 提供因子（协）方差的估计值"
+
+#: cfa/options/resCovEst.description.R
+msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
+msgstr "`正确` (默认) 或 `错误`, 提供剩余（协）方差的估计值"
+
+#: anovaOneW/options/phMeanDif.description.R
+msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
+msgstr "`正确` (默认) 或 `错误`, 提供事后检验的均值差"
+
+#: corrMatrix/options/sig.description.R
+#: corrPart/options/sig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels"
+msgstr "`正确` (默认) 或 `错误`, 提供显著性水平"
+
+#: anovaOneW/options/phSig.description.R
+msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
+msgstr "`正确` (默认) 或 `错误`, 提供事后检验的显著性水平"
+
+#: logLinear/options/dev.description.R
+#: logRegBin/options/dev.description.R
+#: logRegMulti/options/dev.description.R
+#: logRegOrd/options/dev.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
+msgstr "`正确` (默认) 或 `错误`, 提供模型的偏差（或-2对数似然值）"
+
+#: descriptives/options/mean.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the mean"
+msgstr "`正确` (默认) 或 `错误`, 提供均值"
+
+#: descriptives/options/median.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the median"
+msgstr "`正确` (默认) 或 `错误`, 提供中位数"
+
+#: linReg/options/modelTest.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
+msgstr "`正确` (默认) 或 `错误`, 提供模型与空模型的比较结果"
+
+#: descriptives/options/missing.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
+msgstr "`正确` (默认) 或 `错误`, 提供缺失值的数量"
+
+#: descriptives/options/n.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the sample size"
+msgstr "`正确` (默认) 或 `错误`, 提供样本量"
+
+#: descriptives/options/sd.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
+msgstr "`正确` (默认) 或 `错误`, 提供标准差"
+
+#: linReg/options/r2.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
+msgstr "`正确` (默认) 或 `错误`, 提供模型的统计评价指标“R²”"
+
+#: linReg/options/r.description.R
+msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
+msgstr "`正确` (默认) 或 `错误`, 提供模型的统计评价指标“R”"
+
+#: contTables/options/chiSq.description.R
+#: contTablesPaired/options/chiSq.description.R
+msgid "`TRUE` (default) or `FALSE`, provide χ²"
+msgstr "`正确` (默认) 或 `错误`, 提供χ²值"
+
+#: ancova/options/emmWeights.description.R
+#: anova/options/emmWeights.description.R
+#: anovaRM/options/emmWeights.description.R
+#: linReg/options/emmWeights.description.R
+#: logLinear/options/emmWeights.description.R
+#: logRegBin/options/emmWeights.description.R
+#: logRegMulti/options/emmWeights.description.R
+msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
+msgstr "`正确` (默认) 或 `错误`, 对每个单元格进行平均加权或根据单元格频率进行加权"
+
+#: descriptives/options/barCounts.description.R
+msgid "`TRUE` or `FALSE` (default), add counts to the  bar plots"
+msgstr "`正确` 或 `错误`(默认) , 在条形图中添加计数"
+
+#: descriptives/options/boxMean.description.R
+msgid "`TRUE` or `FALSE` (default), add mean to box plot"
+msgstr "`正确` 或 `错误`(默认) , 在条形图中添加均值"
+
+#: corrMatrix/options/flag.description.R
+#: corrPart/options/flag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant correlations"
+msgstr "`正确` 或 `错误`(默认) , 标记有统计学意义的相关"
+
+#: anovaOneW/options/phFlag.description.R
+msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
+msgstr "`正确` 或 `错误`(默认) , 标记有统计学意义的事后检验"
+
+#: anovaOneW/options/fishers.description.R
+msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
+msgstr "`正确` 或 `错误`(默认) , 执行 Fisher's 单因素方差分析，该方法需要满足方差齐性的条件"
+
+#: anovaOneW/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
+msgstr "`正确` 或 `错误`(默认) , 执行Levene's 方差齐性检验"
+
+#: ttestIS/options/eqv.description.R
+msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
+msgstr "`正确` 或 `错误`(默认) , 执行Levene's 方差齐性检验"
+
+#: ttestIS/options/mann.description.R
+msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
+msgstr "`正确` 或 `错误`(默认) , 执行Mann-Whitney U检验"
+
+#: anovaOneW/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
+msgstr "`正确` 或 `错误`(默认) , 执行Shapiro-Wilk正态性检验"
+
+#: ancova/options/norm.description.R
+#: anova/options/norm.description.R
+#: ttestIS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
+msgstr "`正确` 或 `错误`(默认) , 执行Shapiro-Wilk正态性检验"
+
+#: ttestPS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
+msgstr "`正确` 或 `错误`(默认) , 执行Shapiro-Wilk正态性检验"
+
+#: ttestOneS/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
+msgstr "`正确` 或 `错误`(默认) , 执行Shapiro-Wilk正态性检验"
+
+#: ttestIS/options/welchs.description.R
+msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
+msgstr "`正确` 或 `错误`(默认) , 执行Welch's t检验"
+
+#: ttestOneS/options/wilcoxon.description.R
+#: ttestPS/options/wilcoxon.description.R
+msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
+msgstr "`正确` 或 `错误`(默认) , 执行Wilcoxon符号秩检验"
+
+#: linReg/options/norm.description.R
+msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
+msgstr "`正确` 或 `错误`(默认) , 对残差进行Shapiro-Wilk正态性检验"
+
+#: ancova/options/homo.description.R
+#: anova/options/homo.description.R
+msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
+msgstr "`正确` 或 `错误`(默认) , 执行方差齐性检验"
+
+#: anovaNP/options/pairs.description.R
+#: anovaRMNP/options/pairs.description.R
+msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
+msgstr "`正确` 或 `错误`(默认) , 进行两两比较"
+
+#: anovaRM/options/spherTests.description.R
+msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
+msgstr "`正确` 或 `错误`(默认) , 执行球形度检验"
+
+#: ancova/options/emmPlotData.description.R
+#: anova/options/emmPlotData.description.R
+#: anovaRM/options/emmPlotData.description.R
+msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
+msgstr "`正确` 或 `错误`(默认) , 将数据绘制在边际均值上方"
+
+#: linReg/options/aic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
+msgstr "`正确` 或 `错误`(默认) , 提供模型的AIC"
+
+#: propTest2/options/bf.description.R
+#: ttestIS/options/bf.description.R
+#: ttestOneS/options/bf.description.R
+#: ttestPS/options/bf.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
+msgstr "`正确` 或 `错误`(默认) , 提供贝叶斯因子"
+
+#: linReg/options/bic.description.R
+#: logLinear/options/bic.description.R
+#: logRegBin/options/bic.description.R
+#: logRegMulti/options/bic.description.R
+#: logRegOrd/options/bic.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
+msgstr "`正确` 或 `错误`(默认) , 提供模型的BIC"
+
+#: propTest2/options/ciBayes.description.R
+msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
+msgstr "`正确` 或 `错误`(默认) , 提供贝叶斯可信区间"
+
+#: mancova/options/boxM.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box's M test"
+msgstr "`正确` 或 `错误`(默认) , 提供Box's M检验"
+
+#: logRegBin/options/boxTidwell.description.R
+msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
+msgstr "`正确` 或 `错误`(默认) , 为Logistic回归的线性部分提供 Box-Tidwell检验"
+
+#: ttestOneS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
+msgstr "`正确` 或 `错误`(默认) , 提供Cohen's d效应量"
+
+#: contTables/options/fisher.description.R
+msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
+msgstr "`正确` 或 `错误`(默认) , 提供 Fisher's 精确检验"
+
+#: contTables/options/taub.description.R
+#: corrMatrix/options/kendall.description.R
+#: corrPart/options/kendall.description.R
+msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
+msgstr "`正确` 或 `错误`(默认) , 提供 Kendall's tau-b值"
+
+#: contTables/options/mh.description.R
+msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
+msgstr "`正确` 或 `错误`(默认) , 提供 Mantel-Haenszel 趋势检验"
+
+#: reliability/options/omegaScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
+msgstr "`正确` 或 `错误`(默认) , 提供 McDonald's ω值"
+
+#: contTables/options/phiCra.description.R
+msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
+msgstr "`正确` 或 `错误`(默认) , 提供φ系数和Cramer’s V系数"
+
+#: descriptives/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认) , 提供Q-Q图(仅限于连续性变量)"
+
+#: ttestIS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
+msgstr "`正确` 或 `错误`(默认) , 提供残差Q-Q图"
+
+#: linReg/options/rmse.description.R
+msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
+msgstr "`正确` 或 `错误`(默认) , 提供模型的均方根误差（RMSE）"
+
+#: descriptives/options/sw.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
+msgstr "`正确` 或 `错误`(默认) , 提供Shapiro-Wilk正态性检验的P值"
+
+#: mancova/options/shapiro.description.R
+msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
+msgstr "`正确` 或 `错误`(默认) , 提供Shapiro-Wilk正态性检验"
+
+#: corrMatrix/options/spearman.description.R
+#: corrPart/options/spearman.description.R
+msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
+msgstr "`正确` 或 `错误`(默认) , 提供Spearman's相关系数rho"
+
+#: linReg/options/collin.description.R
+#: logRegBin/options/collin.description.R
+msgid "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics"
+msgstr "`正确` 或 `错误`(默认) , 提供方差膨胀因子（VIF ）和容忍度（1/VIF）"
+
+#: mancova/options/qqPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
+msgstr "`正确` 或 `错误`(默认) , 提供多元正态Q-Q图"
+
+#: ancova/options/qq.description.R
+#: anova/options/qq.description.R
+#: anovaOneW/options/qq.description.R
+#: anovaRM/options/qq.description.R
+#: linReg/options/qqPlot.description.R
+#: ttestOneS/options/qq.description.R
+#: ttestPS/options/qq.description.R
+msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
+msgstr "`正确` 或 `错误`(默认) , 提供残差Q-Q图"
+
+#: logRegBin/options/rocPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
+msgstr "`正确` 或 `错误`(默认) , 提供ROC曲线图"
+
+#: logLinear/options/ci.description.R
+#: logRegBin/options/ci.description.R
+#: logRegMulti/options/ci.description.R
+#: logRegOrd/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型系数的置信区间"
+
+#: logRegBin/options/ciOR.description.R
+#: logRegMulti/options/ciOR.description.R
+#: logRegOrd/options/ciOR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型系数OR值的置信区间"
+
+#: logLinear/options/ciRR.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型系数rr值的置信区间"
+
+#: linReg/options/ciStdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型标准化系数的置信区间"
+
+#: linReg/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
+msgstr "`正确` 或 `错误`(默认) , 提供模型系数的置信区间"
+
+#: cfa/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型系数的置信区间"
+
+#: corrMatrix/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
+msgstr "`正确` 或 `错误`(默认) , 提供相关矩阵图"
+
+#: reliability/options/corPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
+msgstr "`正确` 或 `错误`(默认) , 提供相关图"
+
+#: logRegBin/options/cutOffPlot.description.R
+msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
+msgstr "`正确` 或 `错误`(默认) , 提供截断值图"
+
+#: anovaRMNP/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
+msgstr "`正确` 或 `错误`(默认) , 提供描述图"
+
+#: cfa/options/pathDiagram.description.R
+msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
+msgstr "`正确` 或 `错误`(默认) , 提供模型的路径图"
+
+#: logRegBin/options/class.description.R
+msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
+msgstr "`正确` 或 `错误`(默认) , 提供预测分类表（或混合矩阵）"
+
+#: linReg/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
+msgstr "`正确` 或 `错误`(默认) , 提供模型标准化系数"
+
+#: cfa/options/stdEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
+msgstr "`正确` 或 `错误`(默认) , 提供模型标准化系数"
+
+#: contTables/options/zProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
+msgstr "`正确` 或 `错误`(默认) , 提供两比例差异比较的Z检验"
+
+#: contTablesPaired/options/exact.description.R
+msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
+msgstr "`正确` 或 `错误`(默认) , 提供精确的对数OR（需要安装2x2精确法模块）"
+
+#: descriptives/options/bar.description.R
+msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
+msgstr "`正确` 或 `错误`(默认) , 提供条形图（仅限无序多分类和有序多分类变量）"
+
+#: descriptives/options/box.description.R
+msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认) , 提供箱线图（仅限连续性变量）"
+
+#: contTables/options/pcCol.description.R
+#: contTablesPaired/options/pcCol.description.R
+msgid "`TRUE` or `FALSE` (default), provide column percentages"
+msgstr "`正确` 或 `错误`(默认) , 提供列百分比"
+
+#: corrMatrix/options/ci.description.R
+#: propTest2/options/ci.description.R
+#: ttestIS/options/ci.description.R
+#: ttestPS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
+msgstr "`正确` 或 `错误`(默认) , 提供置信区间"
+
+#: contTables/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
+msgstr "`正确` 或 `错误`(默认) , 提供比较指标的置信区间"
+
+#: ttestIS/options/ciES.description.R
+#: ttestOneS/options/ciES.description.R
+#: ttestPS/options/ciES.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
+msgstr "`正确` 或 `错误`(默认) , 提供效应量的置信区间"
+
+#: descriptives/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
+msgstr "`正确` 或 `错误`(默认) , 提供均值的置信区间"
+
+#: ttestOneS/options/ci.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
+msgstr "`正确` 或 `错误`(默认) , 提供均值差的置信区间"
+
+#: ancova/options/postHocEsCi.description.R
+#: anova/options/postHocEsCi.description.R
+msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
+msgstr "`正确` 或 `错误`(默认) , 提供事后检验效应量的置信区间"
+
+#: corrMatrix/options/plotDens.description.R
+msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
+msgstr "`正确` 或 `错误`(默认) , 在相关矩阵图中提供概率密度"
+
+#: descriptives/options/dens.description.R
+msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认) ,提供概率密度图（仅限连续性变量）"
+
+#: anovaOneW/options/descPlot.description.R
+#: ttestIS/options/plots.description.R
+#: ttestOneS/options/plots.description.R
+#: ttestPS/options/plots.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
+msgstr "`正确` 或 `错误`(默认) ,提供描述图"
+
+#: anovaOneW/options/desc.description.R
+#: anovaRMNP/options/desc.description.R
+#: ttestIS/options/desc.description.R
+#: ttestOneS/options/desc.description.R
+#: ttestPS/options/desc.description.R
+msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
+msgstr "`正确` 或 `错误`(默认) ,提供描述性统计"
+
+#: descriptives/options/dot.description.R
+msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认），提供点图（仅限连续性变量）"
+
+#: ttestIS/options/effectSize.description.R
+#: ttestPS/options/effectSize.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect sizes"
+msgstr "`正确` 或 `错误`(默认) ,提供效应量"
+
+#: anovaNP/options/es.description.R
+msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
+msgstr "`正确` 或 `错误`(默认) ,提供效应量"
+
+#: ancova/options/emmTables.description.R
+#: anova/options/emmTables.description.R
+#: anovaRM/options/emmTables.description.R
+#: linReg/options/emmTables.description.R
+#: logLinear/options/emmTables.description.R
+#: logRegBin/options/emmTables.description.R
+#: logRegMulti/options/emmTables.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
+msgstr "`正确` 或 `错误`(默认) ,提供边际估计均值表"
+
+#: cfa/options/factInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
+msgstr "`正确` 或 `错误`(默认) ,提供因子截距的估计值"
+
+#: cfa/options/resInterceptEst.description.R
+msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
+msgstr "`正确` 或 `错误`(默认) ,提供残差截距的估计值"
+
+#: descriptives/options/freq.description.R
+msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
+msgstr "`正确` 或 `错误`(默认) ,提供频率表（仅限无序多分类和有序多分类变量）"
+
+#: contTables/options/gamma.description.R
+msgid "`TRUE` or `FALSE` (default), provide gamma"
+msgstr "`正确` 或 `错误`(默认) ,提供γ值"
+
+#: descriptives/options/hist.description.R
+msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认) ,提供直方图（仅限连续性变量）"
+
+#: reliability/options/meanItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item means"
+msgstr "`正确` 或 `错误`(默认) ,提供条目均值"
+
+#: reliability/options/sdItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
+msgstr "`正确` 或 `错误`(默认) ,提供条目标准差"
+
+#: reliability/options/itemRestCor.description.R
+msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
+msgstr "`正确` 或 `错误`(默认) ,提供条目剩余相关性"
+
+#: ttestOneS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
+msgstr "`正确` 或 `错误`(默认) ,提供均值和标准差"
+
+#: ttestIS/options/meanDiff.description.R
+#: ttestPS/options/meanDiff.description.R
+msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
+msgstr "`正确` 或 `错误`(默认) ,提供均值和标准误"
+
+#: cfa/options/mi.description.R
+msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
+msgstr "`正确` 或 `错误`(默认) ,为模型中未包含的参数提供修正指数"
+
+#: descriptives/options/pc.description.R
+msgid "`TRUE` or `FALSE` (default), provide percentiles"
+msgstr "`正确` 或 `错误`(默认) ,提供百分位数"
+
+#: propTest2/options/postPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide posterior plots"
+msgstr "`正确` 或 `错误`(默认) ,提供后验概率图"
+
+#: descriptives/options/pcEqGr.description.R
+msgid "`TRUE` or `FALSE` (default), provide quantiles"
+msgstr "`正确` 或 `错误`(默认) ,提供分位数"
+
+#: linReg/options/resPlots.description.R
+msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
+msgstr "`正确` 或 `错误`(默认) ,根据标准残差绘制因变量和每个协变量的残差图."
+
+#: linReg/options/durbin.description.R
+msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
+msgstr "`正确` 或 `错误`(默认) ,提供Durbin- Watson自相关检验的结果"
+
+#: contTables/options/pcRow.description.R
+#: contTablesPaired/options/pcRow.description.R
+msgid "`TRUE` or `FALSE` (default), provide row percentages"
+msgstr "`正确` 或 `错误`(默认) ,提供行百分比"
+
+#: corrMatrix/options/plotStats.description.R
+msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
+msgstr "`正确` 或 `错误`(默认) ,在相关矩阵图中提供统计信息"
+
+#: linReg/options/cooks.description.R
+#: logRegBin/options/cooks.description.R
+msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
+msgstr "`正确` 或 `错误`(默认) ,提供Cook's距离的摘要信息"
+
+#: anovaOneW/options/phTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
+msgstr "`正确` 或 `错误`(默认) ,提供事后检验的结果（t值和自由度）"
+
+#: contTables/options/contCoef.description.R
+msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
+msgstr "`正确` 或 `错误`(默认) ,提供列联系数"
+
+#: contTables/options/diffProp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
+msgstr "`正确` 或 `错误`(默认) ,提供比例差异（仅限于2x2四格表）"
+
+#: contTables/options/exp.description.R
+msgid "`TRUE` or `FALSE` (default), provide the expected counts"
+msgstr "`正确` 或 `错误`(默认) ,提供理论频数"
+
+#: logRegBin/options/OR.description.R
+#: logRegMulti/options/OR.description.R
+#: logRegOrd/options/OR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
+msgstr "`正确` 或 `错误`(默认) ,提供对数OR值指数或OR估计值"
+
+#: logLinear/options/RR.description.R
+msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
+msgstr "`正确` 或 `错误`(默认) ,提供对数RR值指数或RR估计值"
+
+#: descriptives/options/iqr.description.R
+msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
+msgstr "`正确` 或 `错误`(默认) ,提供四分位数间距"
+
+#: descriptives/options/kurt.description.R
+msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
+msgstr "`正确` 或 `错误`(默认) ,提供峰度"
+
+#: contTables/options/likeRat.description.R
+msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
+msgstr "`正确` 或 `错误`(默认) ,提供似然比"
+
+#: contTables/options/logOdds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
+msgstr "`正确` 或 `错误`(默认) ,提供对数OR值（仅限于2x2四格表）"
+
+#: descriptives/options/max.description.R
+msgid "`TRUE` or `FALSE` (default), provide the maximum"
+msgstr "`正确` 或 `错误`(默认) ,提供最大值"
+
+#: reliability/options/meanScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mean"
+msgstr "`正确` 或 `错误`(默认) ,提供均值"
+
+#: descriptives/options/min.description.R
+msgid "`TRUE` or `FALSE` (default), provide the minimum"
+msgstr "`正确` 或 `错误`(默认) ,提供最小值"
+
+#: descriptives/options/mode.description.R
+msgid "`TRUE` or `FALSE` (default), provide the mode"
+msgstr "`正确` 或 `错误`(默认) ,提供众数"
+
+#: logLinear/options/modelTest.description.R
+#: logRegBin/options/modelTest.description.R
+#: logRegMulti/options/modelTest.description.R
+#: logRegOrd/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
+msgstr "`正确` 或 `错误`(默认) ,提供模型与空模型比较的结果"
+
+#: corrMatrix/options/n.description.R
+#: corrPart/options/n.description.R
+msgid "`TRUE` or `FALSE` (default), provide the number of cases"
+msgstr "`正确` 或 `错误`(默认) ,提供个案数"
+
+#: contTables/options/obs.description.R
+msgid "`TRUE` or `FALSE` (default), provide the observed counts"
+msgstr "`正确` 或 `错误`(默认) ,提供实际频数"
+
+#: contTables/options/odds.description.R
+msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
+msgstr "`正确` 或 `错误`(默认) ,提供OR值（仅限于2x2四格表）"
+
+#: linReg/options/anova.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
+msgstr "`正确` 或 `错误`(默认) ,提供预测因子的Omnibus方差分析检验结果"
+
+#: logLinear/options/omni.description.R
+#: logRegBin/options/omni.description.R
+#: logRegMulti/options/omni.description.R
+#: logRegOrd/options/omni.description.R
+msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
+msgstr "`正确` 或 `错误`(默认) ,提供预测因子的Omnibus似然比检验结果"
+
+#: logRegBin/options/acc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
+msgstr "`正确` 或 `错误`(默认) ,提供截断值分组的预测准确性"
+
+#: logRegBin/options/sens.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
+msgstr "`正确` 或 `错误`(默认) ,提供截断值分组的预测灵敏度"
+
+#: logRegBin/options/spec.description.R
+msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
+msgstr "`正确` 或 `错误`(默认) ,提供截断值分组的预测特异度"
+
+#: descriptives/options/range.description.R
+msgid "`TRUE` or `FALSE` (default), provide the range"
+msgstr "`正确` 或 `错误`(默认) ,提供全距"
+
+#: logRegBin/options/auc.description.R
+msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
+msgstr "`正确` 或 `错误`(默认) ,提供ROC曲线下面积（AUC）"
+
+#: contTables/options/relRisk.description.R
+msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
+msgstr "`正确` 或 `错误`(默认) ,提供相对危险度RR（仅限于2x2四格表）"
+
+#: cfa/options/corRes.description.R
+msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
+msgstr "`正确` 或 `错误`(默认) ,提供实际相关矩阵的残差（即理论相关矩阵和实际相关矩阵之间的差异）"
+
+#: descriptives/options/skew.description.R
+msgid "`TRUE` or `FALSE` (default), provide the skewness"
+msgstr "`正确` 或 `错误`(默认) ,提供偏度"
+
+#: reliability/options/sdScale.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
+msgstr "`正确` 或 `错误`(默认) ,提供标准差"
+
+#: descriptives/options/se.description.R
+msgid "`TRUE` or `FALSE` (default), provide the standard error"
+msgstr "`正确` 或 `错误`(默认) ,提供标准吴"
+
+#: linReg/options/r2Adj.description.R
+msgid "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models"
+msgstr "`正确` 或 `错误`(默认) , 提供模型评价指标“校正R²”"
+
+#: descriptives/options/sum.description.R
+msgid "`TRUE` or `FALSE` (default), provide the sum"
+msgstr "`正确` 或 `错误`(默认) ,提供和"
+
+#: logRegOrd/options/thres.description.R
+msgid "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable"
+msgstr "`正确` 或 `错误`(默认) , 提供因变量分级的截断值"
+
+#: descriptives/options/variance.description.R
+msgid "`TRUE` or `FALSE` (default), provide the variance"
+msgstr "`正确` 或 `错误`(默认) ,提供方差"
+
+#: contTables/options/pcTot.description.R
+msgid "`TRUE` or `FALSE` (default), provide total percentages"
+msgstr "`正确` 或 `错误`(默认) ,提供合计百分比"
+
+#: descriptives/options/violin.description.R
+msgid "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)"
+msgstr "`正确` 或 `错误`(默认) ,提供小提琴图（仅限连续性变量）"
+
+#: reliability/options/alphaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped"
+msgstr "`正确` 或 `错误`(默认) ,提供该条目删除后的Cronbach's α系数"
+
+#: reliability/options/omegaItems.description.R
+msgid "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped"
+msgstr "`正确` 或 `错误`(默认) ,提供该条目删除后的McDonald's ω系数"
+
+#: contTables/options/chiSqCorr.description.R
+#: contTablesPaired/options/chiSqCorr.description.R
+msgid "`TRUE` or `FALSE` (default), provide χ² with continuity correction"
+msgstr "`正确` 或 `错误`(默认) ,提供连续校正χ²值"
+
+#: anovaRM/options/groupSumm.description.R
+msgid "`TRUE` or `FALSE` (default), report a summary of the different groups"
+msgstr "`正确` 或 `错误`(默认) ,分组报告摘要"
+
+#: logRegBin/options/cutOff.description.R
+msgid "`TRUE` or `FALSE` (default), set a cut-off used for the predictions"
+msgstr "`正确` 或 `错误`(默认) ,设置预测变量的截断值"
+
+#: efa/options/bartlett.description.R
+#: pca/options/bartlett.description.R
+msgid "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results"
+msgstr "`正确` 或 `错误`(默认) ,报告Bartlett's球形度检验结果"
+
+#: efa/options/kmo.description.R
+#: pca/options/kmo.description.R
+msgid "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results"
+msgstr "`正确` 或 `错误`(默认) ,报告KMO抽样适合性检验结果"
+
+#: contTables/options/barplot.description.R
+msgid "`TRUE` or `FALSE` (default), show barplots"
+msgstr "`正确` 或 `错误`(默认) ,显示条形图"
+
+#: efa/options/eigen.description.R
+#: pca/options/eigen.description.R
+msgid "`TRUE` or `FALSE` (default), show eigenvalue table"
+msgstr "`正确` 或 `错误`(默认) ,显示特征值表"
+
+#: efa/options/factorSummary.description.R
+#: pca/options/factorSummary.description.R
+msgid "`TRUE` or `FALSE` (default), show factor summary"
+msgstr "`正确` 或 `错误`(默认) ,显示因子摘要"
+
+#: efa/options/factorCor.description.R
+#: pca/options/factorCor.description.R
+msgid "`TRUE` or `FALSE` (default), show inter-factor correlations"
+msgstr "`正确` 或 `错误`(默认) ,显示因子间相关性"
+
+#: efa/options/modelFit.description.R
+msgid "`TRUE` or `FALSE` (default), show model fit measures and test"
+msgstr "`正确` 或 `错误`(默认) ,显示模型拟合评价和检验结果"
+
+#: efa/options/screePlot.description.R
+#: pca/options/screePlot.description.R
+msgid "`TRUE` or `FALSE` (default), show scree plot"
+msgstr "`正确` 或 `错误`(默认) ,显示碎石图"
+
+#: efa/options/sortLoadings.description.R
+#: pca/options/sortLoadings.description.R
+msgid "`TRUE` or `FALSE` (default), sort the factor loadings by size"
+msgstr "`正确` 或 `错误`(默认) ,按因子载荷大小排序"
+
+#: anovaRM/options/leveneTest.description.R
+msgid "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)"
+msgstr "`正确` 或 `错误`(默认) ,方差齐性检验（Levene's检验）"
+
+#: propTest2/options/areCounts.description.R
+msgid "`TRUE` or `FALSE` (default), the variables are counts"
+msgstr "`正确` 或 `错误`(默认)，变量是计数变量"
+
+#: propTestN/options/expected.description.R
+msgid "`TRUE` or `FALSE` (default), whether expected counts should be displayed"
+msgstr "`正确` 或 `错误`(默认) ,是否应显示理论频数"
+
+#: ancova/options/modelTest.description.R
+#: anova/options/modelTest.description.R
+msgid "`TRUE` or `FALSE` (default); perform an overall model test"
+msgstr "`正确` 或 `错误`(默认) ,执行整体模型检验"
+
+#: contTables/options/compare.description.R
+msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
+msgstr "`正确` 或 `错误`(默认) ,比较行/列的比例差异或相对危险度（2x2四格表）"
+
+#: corrPart/results/matrix.description
+msgid "a (semi)partial correlation matrix table"
+msgstr "（半）偏相关矩阵表"
+
+#: descriptives/options/pcValues.description.R
+msgid "a comma-sepated list (default: 25,50,75) specifying the percentiles"
+msgstr "指定百分位数的逗号分隔列表（默认:25,50,75）"
+
+#: corrMatrix/results/plot.description
+msgid "a correlation matrix plot"
+msgstr "相关矩阵图"
+
+#: corrMatrix/results/matrix.description
+msgid "a correlation matrix table"
+msgstr "相关矩阵表"
+
+#: anovaRMNP/results/plot.description
+msgid "a descriptives plot"
+msgstr "描述图"
+
+#: ancova/options/emMeans.description.R
+#: anova/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for (see the examples)"
+msgstr "包含估算边际均值项的公式（见示例）"
+
+#: linReg/options/emMeans.description.R
+msgid "a formula containing the terms to estimate marginal means for, supports up to three variables per term"
+msgstr "包含估算边际均值项的公式, 每个项最多支持三个变量"
+
+#: ancova/options/postHoc.description.R
+#: anova/options/postHoc.description.R
+msgid "a formula containing the terms to perform post-hoc tests on (see the examples)"
+msgstr "包含事后检验项的公式（见示例）"
+
+#: ancova/options/modelTerms.description.R
+#: anova/options/modelTerms.description.R
+msgid "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)"
+msgstr "描述进入模型的项的公式（提供公式时不需要，见示例）"
+
+#: cfa/options/factors.description.R
+msgid "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor"
+msgstr "包含命名清单的列表，该列表定义了因子的“标签”和相对应的“变量”"
+
+#: linReg/options/blocks.description.R
+#: logLinear/options/blocks.description.R
+#: logRegBin/options/blocks.description.R
+#: logRegMulti/options/blocks.description.R
+#: logRegOrd/options/blocks.description.R
+msgid "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list"
+msgstr "一个包含添加到模型中的自变量的字符串向量的列表。这些元素将根据其在列表中的顺序被添加到模型中"
+
+#: anovaRM/options/bsTerms.description.R
+msgid "a list of character vectors describing the between subjects terms to go into the model"
+msgstr "描述进入模型的组间项的字符向量列表"
+
+#: anovaRM/options/postHoc.description.R
+msgid "a list of character vectors describing the post-hoc tests that need to be computed"
+msgstr "描述事后检验的字符向量列表"
+
+#: anovaRM/options/rmTerms.description.R
+msgid "a list of character vectors describing the repeated measures terms to go into the model"
+msgstr "描述进入模型的重复测量项的字符向量列表"
+
+#: linReg/options/refLevels.description.R
+#: logLinear/options/refLevels.description.R
+#: logRegBin/options/refLevels.description.R
+#: logRegMulti/options/refLevels.description.R
+#: logRegOrd/options/refLevels.description.R
+msgid "a list of lists specifying reference levels of the dependent variable and all the factors"
+msgstr "设置因变量和所有因子参考水平的列表"
+
+#: ancova/options/contrasts.description.R
+#: anova/options/contrasts.description.R
+msgid "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`"
+msgstr "指定因子和待使用类型的列表，如，“离差”、“单独”、“差异”、“赫尔默特”、“重复”或“多项式”"
+
+#: ttestPS/options/pairs.description.R
+msgid "a list of lists specifying the pairs of measurement in `data`"
+msgstr "指定“数据”中比较对的列表"
+
+#: cfa/options/resCov.description.R
+msgid "a list of lists specifying the residual covariances that need to be estimated"
+msgstr "指定需要估计的剩余协方差的列表"
+
+#: anovaRM/options/emMeans.description.R
+#: logLinear/options/emMeans.description.R
+#: logRegBin/options/emMeans.description.R
+#: logRegMulti/options/emMeans.description.R
+msgid "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term."
+msgstr "指定需要计算边际估计均值的变量的列表。每个项最多支持三个变量。"
+
+#: anovaRM/options/rmCells.description.R
+msgid "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`"
+msgstr "描述重复测量`数据`中被定义为`测量`（作为字符串）以及`rm`中特定水平组合被定义为`单元`（作为字符串向量）的列表"
+
+#: anovaRM/options/rm.description.R
+msgid "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor"
+msgstr "描述特定重复测量因子的“标签”（作为字符串）和“水平”（作为字符串向量）的列表"
+
+#: efa/options/minEigen.description.R
+msgid "a number (default: 0), the minimal eigenvalue for a factor to be included in the model"
+msgstr "数字（默认为0），模型中因子的最小特征值"
+
+#: cfa/options/hlCorRes.description.R
+msgid "a number (default: 0.1), highlight values in the `'corRes'` table above this value"
+msgstr "数字（默认为0），突出显示“corRes”表中高于该指标的值"
+
+#: efa/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide factor loadings below this value"
+msgstr "数字（默认为0.3），隐藏低于此值的因子载荷"
+
+#: pca/options/hideLoadings.description.R
+msgid "a number (default: 0.3), hide loadings below this value"
+msgstr "数字（默认为0.3），隐藏低于此值的载荷"
+
+#: propTest2/options/testValue.description.R
+msgid "a number (default: 0.5), the value for the null hypothesis"
+msgstr "数字（默认为0.5），零假设的值"
+
+#: propTest2/options/priorA.description.R
+msgid "a number (default: 1), the beta prior 'a' parameter"
+msgstr "数字（默认为1），β分布先验的 'a'参数"
+
+#: propTest2/options/priorB.description.R
+msgid "a number (default: 1), the beta prior 'b' parameter"
+msgstr "数字（默认为1），β分布先验的'b'参数"
+
+#: pca/options/minEigen.description.R
+msgid "a number (default: 1), the minimal eigenvalue for a component to be included in the model"
+msgstr "数字（默认为1），模型中主成分的最小特征值"
+
+#: cfa/options/hlMI.description.R
+msgid "a number (default: 3), highlight values in the `'modIndices'` tables above this value"
+msgstr "数字（默认为3），突出显示“modIndices”表中高于该指标的值"
+
+#: ttestIS/options/bfPrior.description.R
+#: ttestPS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "介于0.5和2之间的数字（默认为0.707），用于计算Bayes因子的先验宽度"
+
+#: ttestOneS/options/bfPrior.description.R
+msgid "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors"
+msgstr "介于0.5和2.0之间的数字（默认为0.707），用于计算Bayes因子的先验宽度"
+
+#: linReg/options/ciWidth.description.R
+#: linReg/options/ciWidthStdEst.description.R
+#: logLinear/options/ciWidth.description.R
+#: logLinear/options/ciWidthRR.description.R
+#: logRegBin/options/ciWidth.description.R
+#: logRegBin/options/ciWidthOR.description.R
+#: logRegMulti/options/ciWidth.description.R
+#: logRegMulti/options/ciWidthOR.description.R
+#: logRegOrd/options/ciWidth.description.R
+#: logRegOrd/options/ciWidthOR.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width"
+msgstr "介于50和99.9之间的数字（默认为95），用于指定置信区间宽度"
+
+#: ancova/options/ciWidthEmm.description.R
+#: anova/options/ciWidthEmm.description.R
+#: anovaRM/options/ciWidthEmm.description.R
+#: linReg/options/ciWidthEmm.description.R
+#: logLinear/options/ciWidthEmm.description.R
+#: logRegBin/options/ciWidthEmm.description.R
+#: logRegMulti/options/ciWidthEmm.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means"
+msgstr "介于50和99.9之间的数字（默认为95），用于指定边际估计均值的置信区间宽度"
+
+#: cfa/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`"
+msgstr "介于50和99.9之间的数字（默认为95），使用`'ci'`表示置信区间宽度"
+
+#: propTest2/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the confidence interval width"
+msgstr "介于50和99.9之间的数字（默认为95），置信区间宽度"
+
+#: propTest2/options/ciBayesWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the credible interval width"
+msgstr "介于50和99.9之间的数字（默认为95），可信区间宽度"
+
+#: descriptives/options/ciWidth.description.R
+#: ttestIS/options/ciWidth.description.R
+#: ttestOneS/options/ciWidth.description.R
+#: ttestPS/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals"
+msgstr "介于50和99.9之间的数字（默认为95），置信区间宽度"
+
+#: ttestIS/options/ciWidthES.description.R
+#: ttestOneS/options/ciWidthES.description.R
+#: ttestPS/options/ciWidthES.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes"
+msgstr "介于50和99.9之间的数字（默认为95），效应量的置信区间宽度"
+
+#: ancova/options/postHocEsCiWidth.description.R
+#: anova/options/postHocEsCiWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes"
+msgstr "介于50和99.9之间的数字（默认为95），事后检验效应量的置信区间宽度"
+
+#: corrMatrix/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide"
+msgstr "介于50和99.9之间的数字（默认为95），置信区间宽度"
+
+#: contTables/options/ciWidth.description.R
+msgid "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide"
+msgstr "介于50和99.9之间的数字（默认为95），置信区间宽度"
+
+#: ttestOneS/options/testValue.description.R
+msgid "a number specifying the value of the null hypothesis"
+msgstr "设定零假设的数值"
+
+#: propTest2/ui[2][0][0]/priorA.label
+msgid "a parameter"
+msgstr "a参数"
+
+#: ancova/options/postHocES.description.R
+#: anova/options/postHocES.description.R
+msgid "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests"
+msgstr "可能值“d”；报告事后检验效应量cohen's d值"
+
+#: anovaOneW/results/postHoc.template.description
+msgid "a post-hoc table"
+msgstr "事后检验表格"
+
+#: contTablesPaired/results/freqs.description
+msgid "a proportions table"
+msgstr "比例表"
+
+#: ancova/results/assump/qq.description
+#: anova/results/assump/qq.description
+#: anovaRM/results/assump/qq.description
+msgid "a q-q plot"
+msgstr "q-q图"
+
+#: anovaRM/options/depLabel.description.R
+msgid "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis"
+msgstr "描述整个分析过程中因变量所用标签的字符（默认为“Dependent”）"
+
+#: logLinear/options/counts.description.R
+msgid "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation"
+msgstr "在包含计数资料的 `数据`中命名变量的字符，如果每行代表一个的观察对象，则为零"
+
+#: logRegBin/options/dep.description.R
+#: logRegMulti/options/dep.description.R
+#: logRegOrd/options/dep.description.R
+msgid "a string naming the dependent variable from `data`, variable must be a factor"
+msgstr "'数据'中命名因变量的字符，变量必须是分类变量"
+
+#: mancova/options/deps.description.R
+msgid "a string naming the dependent variable from `data`, variable must be numeric"
+msgstr "'数据'中命名因变量的字符，变量必须是数值型变量"
+
+#: anovaNP/options/deps.description.R
+msgid "a string naming the dependent variable in `data`"
+msgstr "命名`数据`中因变量的字符"
+
+#: anovaOneW/options/deps.description.R
+msgid "a string naming the dependent variables in `data`"
+msgstr "命名`数据`中因变量的字符"
+
+#: anovaNP/options/group.description.R
+#: anovaOneW/options/group.description.R
+msgid "a string naming the grouping or independent variable in `data`"
+msgstr "`数据`中命名分组变量或自变量的字符"
+
+#: anovaRM/results/groupSummary.description
+msgid "a summary of the groups"
+msgstr "分组汇总摘要"
+
+#: ancova/results/emm.template/emmTable.description
+#: anova/results/emm.template/emmTable.description
+#: anovaRM/results/emm.template/emmTable.description
+#: linReg/results/models.template/emm.template/emmTable.description
+#: logLinear/results/models.template/emm.template/emmTable.description
+#: logRegBin/results/models.template/emm.template/emmTable.description
+#: logRegMulti/results/models.template/emm.template/emmTable.description
+msgid "a table containing estimated marginal means"
+msgstr "边际估计均值表"
+
+#: cfa/results/factorEst/factorCov.description
+msgid "a table containing factor covariances estimates"
+msgstr "因子协方差表"
+
+#: cfa/results/factorEst/factorIntercept.description
+msgid "a table containing factor intercept estimates"
+msgstr "因子截距表"
+
+#: cfa/results/modelFit/fitMeasures.description
+msgid "a table containing fit measures"
+msgstr "拟合评价表"
+
+#: cfa/results/modelPerformance/modIndices/factorLoadingsMod.description
+msgid "a table containing modification indices for the factor loadings not included in the model"
+msgstr "未进入模型中的因子荷载的修正指数表"
+
+#: cfa/results/modelPerformance/modIndices/resCovMod.description
+msgid "a table containing modification indices for the residual covariances not included in the model"
+msgstr "未进入模型中的剩余协方差的修正指数表"
+
+#: cfa/results/resEst/resCov.description
+msgid "a table containing residual covariances estimates"
+msgstr "剩余协方差表"
+
+#: cfa/results/resEst/resIntercept.description
+msgid "a table containing residual intercept estimates"
+msgstr "残差截距表"
+
+#: cfa/results/modelPerformance/corRes.description
+msgid "a table containing residuals for the observed correlation matrix"
+msgstr "实际相关矩阵残差表"
+
+#: cfa/results/modelFit/test.description
+msgid "a table containing the chi-square test for exact fit"
+msgstr "精确卡方检验表"
+
+#: logRegBin/results/models.template/assump/collin.description
+msgid "a table containing the collinearity statistics"
+msgstr "共线性统计表"
+
+#: anovaRMNP/results/desc.description
+#: ttestOneS/results/descriptives.description
+#: ttestPS/results/desc.description
+msgid "a table containing the descriptives"
+msgstr "统计描述表"
+
+#: cfa/results/factorLoadings.description
+msgid "a table containing the factor loadings"
+msgstr "因子载荷表"
+
+#: anovaOneW/results/desc.description
+#: ttestIS/results/desc.description
+msgid "a table containing the group descriptives"
+msgstr "分组描述表"
+
+#: ttestIS/results/assum/eqv.description
+msgid "a table containing the homogeneity of variances tests"
+msgstr "方差齐性检验表"
+
+#: ttestOneS/results/normality.description
+#: ttestPS/results/norm.description
+msgid "a table containing the normality test results"
+msgstr "正态性检验表"
+
+#: anovaOneW/results/assump/norm.description
+#: ttestIS/results/assum/norm.description
+msgid "a table containing the normality tests"
+msgstr "正态性检验表"
+
+#: logRegBin/results/models.template/assump/boxTidwell.description
+msgid "a table containing the results from the Box-Tidwell test"
+msgstr "box-Tidwell检验表"
+
+#: ttestIS/results/ttest.description
+#: ttestOneS/results/ttest.description
+#: ttestPS/results/ttest.description
+msgid "a table containing the t-test results"
+msgstr "t检验表"
+
+#: ancova/results/main.description
+msgid "a table of ANCOVA results"
+msgstr "协方差分析表"
+
+#: anova/results/main.description
+#: linReg/results/models.template/anova.description
+msgid "a table of ANOVA results"
+msgstr "方差分析表"
+
+#: contTables/results/odds.description
+msgid "a table of comparative measures"
+msgstr "效应比较表"
+
+#: anovaOneW/results/assump/eqv.description
+msgid "a table of homogeneity of variances tests"
+msgstr "方差齐性检验表"
+
+#: ancova/results/assump/homo.description
+#: anova/results/assump/homo.description
+msgid "a table of homogeneity tests"
+msgstr "方差齐性检验表"
+
+#: logLinear/results/models.template/lrt.description
+#: logRegBin/results/models.template/lrt.description
+#: logRegMulti/results/models.template/lrt.description
+#: logRegOrd/results/models.template/lrt.description
+msgid "a table of likelihood ratio tests"
+msgstr "似然比检验表"
+
+#: logRegOrd/results/models.template/thres.description
+msgid "a table of model coefficient thresholds"
+msgstr "模型系数阈值表"
+
+#: linReg/results/models.template/coef.description
+#: logLinear/results/models.template/coef.description
+#: logRegBin/results/models.template/coef.description
+#: logRegMulti/results/models.template/coef.description
+#: logRegOrd/results/models.template/coef.description
+msgid "a table of model coefficients"
+msgstr "模型系数表"
+
+#: ancova/results/assump/norm.description
+#: anova/results/assump/norm.description
+#: linReg/results/models.template/assump/norm.description
+msgid "a table of normality tests"
+msgstr "正态性检验表"
+
+#: logRegBin/results/models.template/pred/class.description
+msgid "a table of predicted classifications"
+msgstr "预测分类表"
+
+#: logRegBin/results/models.template/pred/measures.description
+msgid "a table of predictive measures"
+msgstr "预测评价表"
+
+#: contTables/results/freqs.description
+msgid "a table of proportions"
+msgstr "比例表"
+
+#: contTablesPaired/results/test.description
+msgid "a table of test results"
+msgstr "检验结果表"
+
+#: contTables/results/nom.description
+msgid "a table of the 'nominal' test results"
+msgstr "'nominal'检验结果表"
+
+#: anovaRMNP/results/table.description
+msgid "a table of the Friedman test results"
+msgstr "friedman检验结果表"
+
+#: contTables/results/taub.description
+msgid "a table of the Kendall's tau-b test results"
+msgstr "kendall's tau-b检验结果表"
+
+#: contTables/results/mh.description
+msgid "a table of the Mantel-Haenszel test for trend"
+msgstr "mantel-Haenszel趋势检验结果表"
+
+#: descriptives/results/descriptives.description
+#: descriptives/results/descriptivesT.description
+msgid "a table of the descriptive statistics"
+msgstr "描述统计表"
+
+#: contTables/results/gamma.description
+msgid "a table of the gamma test results"
+msgstr "gamma检验结果表"
+
+#: anovaRMNP/results/comp.description
+msgid "a table of the pairwise comparisons"
+msgstr "两两比较结果表"
+
+#: propTestN/results/props.description
+msgid "a table of the proportions"
+msgstr "比例表"
+
+#: propTest2/results/table.description
+msgid "a table of the proportions and test results"
+msgstr "比例表和检验结果表"
+
+#: anovaNP/results/table.description
+#: anovaOneW/results/anova.description
+#: propTestN/results/tests.description
+msgid "a table of the test results"
+msgstr "检验结果表"
+
+#: contTables/results/chiSq.description
+msgid "a table of χ² test results"
+msgstr "χ² 检验结果表"
+
+#: reliability/options/revItems.description.R
+msgid "a vector containing strings naming the varibales that are reverse scaled"
+msgstr "命名反向计分变量的字符串向量"
+
+#: propTestN/options/ratio.description.R
+msgid "a vector of numbers: the expected proportions"
+msgstr "数字向量：理论比例"
+
+#: anovaRM/options/bs.description.R
+msgid "a vector of strings naming the between subjects factors from `data`"
+msgstr "对`数据`中组间因子命名的字符串向量"
+
+#: corrPart/options/controls.description.R
+msgid "a vector of strings naming the control variables in `data`"
+msgstr "对`数据`中控制变量命名的字符串向量"
+
+#: logRegBin/options/covs.description.R
+#: logRegMulti/options/covs.description.R
+#: logRegOrd/options/covs.description.R
+#: mancova/options/covs.description.R
+msgid "a vector of strings naming the covariates from `data`"
+msgstr "对`数据`中协变量命名的字符串向量"
+
+#: anovaRM/options/cov.description.R
+msgid "a vector of strings naming the covariates from `data`. Variables must be numeric"
+msgstr "对`数据`中协变量命名的字符串向量。变量必须是数值型"
+
+#: logLinear/options/factors.description.R
+#: mancova/options/factors.description.R
+msgid "a vector of strings naming the factors from `data`"
+msgstr "对`数据`中因子命名的字符串向量"
+
+#: logRegBin/options/factors.description.R
+#: logRegMulti/options/factors.description.R
+#: logRegOrd/options/factors.description.R
+msgid "a vector of strings naming the fixed factors from `data`"
+msgstr "对`数据`中固定因子命名的字符串向量"
+
+#: anovaRMNP/options/measures.description.R
+msgid "a vector of strings naming the repeated measures variables"
+msgstr "对`数据`中重复测量变量命名的字符串向量"
+
+#: descriptives/options/vars.description.R
+#: efa/options/vars.description.R
+#: pca/options/vars.description.R
+#: propTest2/options/vars.description.R
+#: reliability/options/vars.description.R
+#: ttestOneS/options/vars.description.R
+msgid "a vector of strings naming the variables of interest in `data`"
+msgstr "对`数据`中目标变量命名的字符串向量"
+
+#: corrMatrix/options/vars.description.R
+#: corrPart/options/vars.description.R
+msgid "a vector of strings naming the variables to correlate in `data`"
+msgstr "对`数据`中关联变量命名的字符串向量"
+
+#: descriptives/options/splitBy.description.R
+msgid "a vector of strings naming the variables used to split `vars`"
+msgstr "命名拆分`变量`的字符串向量"
+
+#: ttestOneS/results/qq.description
+msgid "an array of Q-Q plots"
+msgstr "一组Q-Q图"
+
+#: ancova/results/contrasts.description
+#: anova/results/contrasts.description
+msgid "an array of contrasts tables"
+msgstr "一组对比表"
+
+#: descriptives/results/plots.description
+msgid "an array of descriptive plots"
+msgstr "一组描述图"
+
+#: descriptives/results/frequencies.description
+msgid "an array of frequency tables"
+msgstr "一组频数表"
+
+#: anovaOneW/results/plots.description
+#: ttestIS/results/plots.description
+msgid "an array of groups of plots"
+msgstr "一组图"
+
+#: linReg/results/models.description
+#: logLinear/results/models.description
+#: logRegBin/results/models.description
+#: logRegMulti/results/models.description
+#: logRegOrd/results/models.description
+msgid "an array of model specific results"
+msgstr "一系列详细模型结果"
+
+#: anovaNP/results/comparisons.description
+msgid "an array of pairwise comparison tables"
+msgstr "一组两两比较结果表"
+
+#: ancova/results/postHoc.description
+#: anova/results/postHoc.description
+#: anovaOneW/results/postHoc.description
+msgid "an array of post-hoc tables"
+msgstr "一组事后检验结果表"
+
+#: ttestPS/results/plots.description
+msgid "an array of the descriptive plots"
+msgstr "一组描述图"
+
+#: ancova/results/emm.description
+#: anova/results/emm.description
+#: anovaRM/results/emm.description
+#: linReg/results/models.template/emm.description
+#: logLinear/results/models.template/emm.description
+#: logRegBin/results/models.template/emm.description
+#: logRegMulti/results/models.template/emm.description
+msgid "an array of the estimated marginal means plots + tables"
+msgstr "一组边际估计均值图+表"
+
+#: propTest2/results/postPlots.description
+msgid "an array of the posterior plots"
+msgstr "一组后验概率图"
+
+#: cfa/results/pathDiagram.description
+msgid "an image containing the model path diagram"
+msgstr "模型路径图"
+
+#: ttestOneS/results/plots.description
+msgid "an image of the descriptive plots"
+msgstr "描述图"
+
+#: pca/options/nFactors.description.R
+msgid "an integer (default: 1), the number of components in the model"
+msgstr "整数（默认为1），表示模型中的成分个数"
+
+#: efa/options/nFactors.description.R
+msgid "an integer (default: 1), the number of factors in the model"
+msgstr "整数（默认为1），表示模型中的因子个数"
+
+#: descriptives/options/pcNEqGr.description.R
+msgid "an integer (default: 4) specifying the number of equal groups"
+msgstr "整数（默认为4），表示相等组的个数"
+
+#: propTest2/ui[2][0][0]/priorB.label
+msgid "b parameter"
+msgstr "b参数"
+
+#: propTest2/options/priorA.title
+msgid "beta 'a' parameter"
+msgstr "β分布的'a'参数"
+
+#: propTest2/options/priorB.title
+msgid "beta 'b' parameter"
+msgstr "β分布的'b'参数"
+
+#: contTables/options/compare/columns.title
+msgid "columns"
+msgstr "列"
+
+#: pca/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "component(s)"
+msgstr "主成分"
+
+#: R/pca.b.R
+msgid "components"
+msgstr "组成"
+
+#: R/corrpart.b.R
+msgid "controlling for {items}"
+msgstr "控制{items}"
+
+#: R/ancova.b.R
+msgid "cubic"
+msgstr "三次方的"
+
+#: contTablesPaired/options.description.R.usage
+msgid "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove    Total\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve           794           150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    Total             880           720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar Test\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                Value    df    p\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    χ² continuity correction     16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Counts`) from the\n"
+"# formula if each row represents a single observation:\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+msgstr "dat <- data.frame(\n"
+"    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n"
+"    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n"
+"    `Counts` = c(794, 150, 86, 570),\n"
+"    check.names=FALSE)\n"
+"\n"
+"contTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n"
+"\n"
+"#\n"
+"#  配对样本列联表\n"
+"#\n"
+"#  列联表\n"
+"#  ────────────────────────────────────────────────\n"
+"#    1st survey    Approve    Disapprove     合计\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Approve             794          150      944\n"
+"#    Disapprove         86           570      656\n"
+"#    合计                     880          720     1600\n"
+"#  ────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  McNemar 检验\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#                                统计量    自由度    p值\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    χ²                           17.4     1    < .001\n"
+"#    连续校正χ²             16.8     1    < .001\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"\n"
+"# 如果每行代表一个观察值，则省略公式的左边的(`计数`)\n"
+"\n"
+"contTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)"
+
+#: propTest2/options.description.R.usage
+msgid "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (2 OUTCOMES)\n"
+"#\n"
+"#  Binomial Test\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         Level    Count    Total    Proportion    p\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    Note. Hₐ is proportion ≠ 0.5\n"
+"#"
+msgstr "dat <- data.frame(x=c(8, 15))\n"
+"\n"
+"propTest2(dat, vars = x, areCounts = TRUE)\n"
+"\n"
+"#\n"
+"#  比例检验 (2 分类结局)\n"
+"#\n"
+"#  二项分布检验\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#         水平    计数    合计           比例    p值\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    x    1            8       23         0.348    0.210\n"
+"#         2           15       23         0.652    0.210\n"
+"#  ───────────────────────────────────────────────────────\n"
+"#    注. Hₐ 为比例 ≠ 0.5\n"
+"#"
+
+#: cfa/options.description.R.usage
+msgid "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  CONFIRMATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Factor     Indicator    Estimate    SE        Z        p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1              0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4              0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FACTOR ESTIMATES\n"
+"#\n"
+"#  Factor Covariances\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                          Estimate    SE        Z       p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ fixed parameter\n"
+"#\n"
+"#\n"
+"#  MODEL FIT\n"
+"#\n"
+"#  Test for Exact Fit\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  Fit Measures\n"
+"#  ───────────────────────────────────────────────\n"
+"#    CFI      TLI      RMSEA     Lower     Upper\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+msgstr "data <- lavaan::HolzingerSwineford1939\n"
+"\n"
+"jmv::cfa(\n"
+"    data = data,\n"
+"    factors = list(\n"
+"        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n"
+"        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n"
+"        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n"
+"    resCov = NULL)\n"
+"\n"
+"#\n"
+"#  验证性因子分析\n"
+"#\n"
+"#  因子载荷\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    因子       变量          系数    标准误        Z值        p值\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Visual     x1          0.900    0.0832    10.81    < .001\n"
+"#               x2              0.498    0.0808     6.16    < .001\n"
+"#               x3              0.656    0.0776     8.46    < .001\n"
+"#    Textual    x4         0.990    0.0567    17.46    < .001\n"
+"#               x5              1.102    0.0626    17.60    < .001\n"
+"#               x6              0.917    0.0538    17.05    < .001\n"
+"#    Speed      x7              0.619    0.0743     8.34    < .001\n"
+"#               x8              0.731    0.0755     9.68    < .001\n"
+"#               x9              0.670    0.0775     8.64    < .001\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"# 因子系数\n"
+"#\n"
+"#  因子协方差\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                    系数    标准误        Z值       p值\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    Visual     Visual      1.000 ᵃ\n"
+"#               Textual     0.459      0.0635    7.22    < .001\n"
+"#               Speed       0.471      0.0862    5.46    < .001\n"
+"#    Textual    Textual     1.000 ᵃ\n"
+"#               Speed       0.283      0.0715    3.96    < .001\n"
+"#    Speed      Speed       1.000 ᵃ\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    ᵃ 固定系数\n"
+"#\n"
+"#\n"
+"#  模型拟合\n"
+"#\n"
+"#  精确拟合检验\n"
+"#  ────────────────────────\n"
+"#    χ²值    自由度   p值\n"
+"#  ────────────────────────\n"
+"#    85.3    24    < .001\n"
+"#  ────────────────────────\n"
+"#\n"
+"#\n"
+"#  拟合评价\n"
+"#  ───────────────────────────────────────────────\n"
+"#     CFI        TLI         RMSEA     下限     上限\n"
+"#  ───────────────────────────────────────────────\n"
+"#    0.931    0.896    0.0921    0.0714    0.114\n"
+"#  ───────────────────────────────────────────────\n"
+"#"
+
+#: contTables/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  CONTINGENCY TABLES\n"
+"#\n"
+"#  Contingency Tables\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    Total\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    Total      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Tests\n"
+"#  ───────────────────────────────\n"
+"#          Value    df    p\n"
+"#  ───────────────────────────────\n"
+"#    χ²      138     9    < .001\n"
+"#    N       592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# Alternatively, omit the left of the formula (`Freq`) if each row\n"
+"# represents a single observation:\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+msgstr "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"contTables(formula = Freq ~ Hair:Eye, dat)\n"
+"\n"
+"#\n"
+"#  列联表\n"
+"#\n"
+"#  列联表\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Hair     Brown    Blue    Hazel    Green    合计\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#    Black       68      20       15        5      108\n"
+"#    Brown      119      84       54       29      286\n"
+"#    Red         26      17       14       14       71\n"
+"#    Blond        7      94       10       16      127\n"
+"#    合计      220     215       93       64      592\n"
+"#  ─────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ²检验\n"
+"#  ───────────────────────────────\n"
+"#          统计量    自由度    p值\n"
+"#  ───────────────────────────────\n"
+"#    χ²值  138         9       < .001\n"
+"#    个案数   592\n"
+"#  ───────────────────────────────\n"
+"#\n"
+"\n"
+"# 如果每行代表一个观察值，则省略公式的左边的 (`Freq`)\n"
+"\n"
+"contTables(formula = ~ Hair:Eye, dat)"
+
+#: propTestN/options.description.R.usage
+msgid "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  PROPORTION TEST (N OUTCOMES)\n"
+"#\n"
+"#  Proportions\n"
+"#  ────────────────────────────────\n"
+"#    Level    Count    Proportion\n"
+"#  ────────────────────────────────\n"
+"#    Brown      220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  χ² Goodness of Fit\n"
+"#  ───────────────────────\n"
+"#    χ²     df    p\n"
+"#  ───────────────────────\n"
+"#    133     3    < .001\n"
+"#  ───────────────────────\n"
+"#"
+msgstr "data('HairEyeColor')\n"
+"dat <- as.data.frame(HairEyeColor)\n"
+"\n"
+"propTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n"
+"\n"
+"#\n"
+"#  比例检验 (多分类结局)\n"
+"#\n"
+"#  比例\n"
+"#  ────────────────────────────────\n"
+"#       水平     计数         比例\n"
+"#  ────────────────────────────────\n"
+"#    Brown    220         0.372\n"
+"#    Blue       215         0.363\n"
+"#    Hazel       93         0.157\n"
+"#    Green       64         0.108\n"
+"#  ────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  拟合优度χ²检验\n"
+"#  ───────────────────────\n"
+"#    χ²值   自由度    p值\n"
+"#  ───────────────────────\n"
+"#    133     3        < .001\n"
+"#  ───────────────────────\n"
+"#"
+
+#: linReg/options.description.R.usage
+msgid "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────\n"
+"#    Model    R        R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE         t         p\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('Prestige', package='carData')\n"
+"\n"
+"linReg(data = Prestige, dep = income,\n"
+"       covs = vars(education, prestige, women),\n"
+"       blocks = list(list('education', 'prestige', 'women')))\n"
+"\n"
+"#\n"
+"#  线性回归\n"
+"#\n"
+"#  模型拟合评价\n"
+"#  ───────────────────────────\n"
+"#    模型     R           R²\n"
+"#  ───────────────────────────\n"
+"#        1    0.802    0.643\n"
+"#  ───────────────────────────\n"
+"#\n"
+"#\n"
+"#  模型详细结果\n"
+"#\n"
+"#  模型 1\n"
+"#\n"
+"#\n"
+"#  模型系数\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#      变量               系数    标准误         t值           p值\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#    Intercept      -253.8    1086.16    -0.234     0.816\n"
+"#    women           -50.9       8.56    -5.948    < .001\n"
+"#    prestige        141.4      29.91     4.729    < .001\n"
+"#    education       177.2     187.63     0.944     0.347\n"
+"#  ────────────────────────────────────────────────────────\n"
+"#"
+
+#: anova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANOVA\n"
+"#\n"
+"#  ANOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp               108     2           54.2     4.11     0.022\n"
+"#    Residuals               712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n"
+"    emmPlots = TRUE,              # produce plots of those marginal means\n"
+"    emmTables = TRUE)             # produce tables of those marginal means"
+msgstr "data('ToothGrowth')\n"
+"\n"
+"ANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  方差分析\n"
+"#\n"
+"#  方差分析\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                               平方和   自由度    均方    F值        p值\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    dose                   2426     2         1213.2    92.00    < .001\n"
+"#    supp                    205     1          205.4    15.57    < .001\n"
+"#    dose:supp           108     2           54.2     4.11     0.022\n"
+"#    残差                      712    54           13.2\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ANOVA(\n"
+"    formula = len ~ dose * supp,\n"
+"    data = ToothGrowth,\n"
+"    emMeans = ~ supp + dose:supp, # 估计supp和dose:supp的边际均值\n"
+"    emmPlots = TRUE,              # 绘制边际均值图\n"
+"    emmTables = TRUE)             # 绘制边际均值表"
+
+#: ancova/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ANCOVA\n"
+"#\n"
+"#  ANCOVA\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                 Sum of Squares    df    Mean Square    F        p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    Residuals              1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+msgstr "data('ToothGrowth')\n"
+"\n"
+"ancova(formula = len ~ supp + dose, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  协方差分析\n"
+"#\n"
+"#  协方差分析\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                               平方和    自由度    均方    F值        p值\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    supp                    205     1          205.4     11.4     0.001\n"
+"#    dose                   2224     1         2224.3    124.0    < .001\n"
+"#    残差                    1023    57           17.9\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"\n"
+"ancova(\n"
+"    formula = len ~ supp + dose,\n"
+"    data = ToothGrowth,\n"
+"    postHoc = ~ supp,\n"
+"    emMeans = ~ supp)"
+
+#: anovaNP/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Kruskal-Wallis\n"
+"#  ───────────────────────────────\n"
+"#           χ²      df    p\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+msgstr "data('ToothGrowth')\n"
+"\n"
+"anovaNP(formula = len ~ dose, data=ToothGrowth)\n"
+"\n"
+"#\n"
+"#  单因素方差分析 (非参数法)\n"
+"#\n"
+"#  Kruskal-Wallis检验\n"
+"#  ───────────────────────────────\n"
+"#              χ²值    自由度   p值\n"
+"#  ───────────────────────────────\n"
+"#    len    40.7     2    < .001\n"
+"#  ───────────────────────────────\n"
+"#"
+
+#: ttestIS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  INDEPENDENT SAMPLES T-TEST\n"
+"#\n"
+"#  Independent Samples T-Test\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                          statistic    df      p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t         1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('ToothGrowth')\n"
+"\n"
+"ttestIS(formula = len ~ supp, data = ToothGrowth)\n"
+"\n"
+"#\n"
+"#  独立样本T检验\n"
+"#\n"
+"#  独立样本T检验\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                                      统计量    自由度   p值\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    len    Student's t值     1.92    58.0    0.060\n"
+"#  ────────────────────────────────────────────────────\n"
+"#"
+
+#: ttestOneS/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  ONE SAMPLE T-TEST\n"
+"#\n"
+"#  One Sample T-Test\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                           statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len     Student's t         19.1    59.0    < .001\n"
+"#    dose    Student's t         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('ToothGrowth')\n"
+"\n"
+"ttestOneS(ToothGrowth, vars = vars(len, dose))\n"
+"\n"
+"#\n"
+"#  单样本T检验\n"
+"#\n"
+"#  单样本T检验\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#                                           统计量    自由度      p值\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#    len       Student's t值        19.1    59.0    < .001\n"
+"#    dose    Student's t值         14.4    59.0    < .001\n"
+"#  ──────────────────────────────────────────────────────\n"
+"#"
+
+#: anovaOneW/options.description.R.usage
+msgid "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  ONE-WAY ANOVA\n"
+"#\n"
+"#  One-Way ANOVA (Welch's)\n"
+"#  ────────────────────────────────────────\n"
+"#           F       df1    df2     p\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2    37.7    < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+msgstr "data('ToothGrowth')\n"
+"dat <- ToothGrowth\n"
+"dat$dose <- factor(dat$dose)\n"
+"\n"
+"anovaOneW(formula = len ~ dose, data = dat)\n"
+"\n"
+"#\n"
+"#  单因素方差分析\n"
+"#\n"
+"#  单因素方差分析 (Welch's法)\n"
+"#  ────────────────────────────────────────\n"
+"#              F值   自由度1  自由度2     p值\n"
+"#  ────────────────────────────────────────\n"
+"#    len    68.4      2           37.7      < .001\n"
+"#  ────────────────────────────────────────\n"
+"#"
+
+#: logRegBin/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  BINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate      SE          Z           p\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Intercept    2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653       482.7    -1.35e-5    1.000\n"
+"#    bwt            -1.18532        87.0     -0.0136    0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    Note. Estimates represent the log odds of \"low = 1\"\n"
+"#    vs. \"low = 0\"\n"
+"#\n"
+"#"
+msgstr "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            low = factor(birthwt$low),\n"
+"            age = birthwt$age,\n"
+"            bwt = birthwt$bwt)\n"
+"\n"
+"logRegBin(data = dat, dep = low,\n"
+"          covs = vars(age, bwt),\n"
+"          blocks = list(list(\"age\", \"bwt\")),\n"
+"          refLevels = list(list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  二分类Logistic回归\n"
+"#\n"
+"#  模型拟合评价\n"
+"#  ───────────────────────────────────────\n"
+"#    模型    偏差        AIC值     R²-McF值\n"
+"#  ───────────────────────────────────────\n"
+"#        1     4.97e-7    6.00     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  模型详细结果\n"
+"#\n"
+"#  模型 1\n"
+"#\n"
+"#  模型系数\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    变量                系数                 标准误          Z值           p值\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    截距         2974.73225    218237.2      0.0136    0.989\n"
+"#    age            -0.00653         482.7          -1.35e-5     1.000\n"
+"#    bwt            -1.18532         87.0            -0.0136       0.989\n"
+"#  ────────────────────────────────────────────────────────────\n"
+"#    注. 系数表示\"low = 1\"与\"low = 0\"相比的对数比"
+
+#: logRegMulti/options.description.R.usage
+msgid "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  MULTINOMIAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ──────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race     Predictor    Estimate    SE        Z         p\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "data('birthwt', package='MASS')\n"
+"\n"
+"dat <- data.frame(\n"
+"            race = factor(birthwt$race),\n"
+"            age = birthwt$age,\n"
+"            low = factor(birthwt$low))\n"
+"\n"
+"logRegMulti(data = dat, dep = race,\n"
+"            covs = age, factors = low,\n"
+"            blocks = list(list(\"age\", \"low\")),\n"
+"            refLevels = list(\n"
+"                list(var=\"race\", ref=\"1\"),\n"
+"                list(var=\"low\", ref=\"0\")))\n"
+"\n"
+"#\n"
+"#  无序多分类Logistic回归\n"
+"#\n"
+"#  模型拟合评价\n"
+"#  ──────────────────────────────────────\n"
+"#    模型    偏差    AIC值    R²-McF值\n"
+"#  ──────────────────────────────────────\n"
+"#        1         360    372    0.0333\n"
+"#  ──────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  模型详细结果\n"
+"#\n"
+"#模型 1\n"
+"#\n"
+"#  模型系数\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    race   变量            系数    标准误        Z值         p值\n"
+"#  ───────────────────────────────────────────────────────────────\n"
+"#    2 - 1 截距           0.8155    1.1186     0.729    0.466\n"
+"#             age           -0.1038    0.0487    -2.131    0.033\n"
+"#             low:\n"
+"#             1 – 0          0.7527    0.4700     1.601    0.109\n"
+"#    3 - 1    截距      1.0123    0.7798     1.298    0.194\n"
+"#             age           -0.0663    0.0324    -2.047    0.041\n"
+"#             low:\n"
+"#             1 – 0          0.5677    0.3522     1.612    0.107\n"
+"#  ───────────────────────────────────────────────────────────────"
+
+#: anovaRM/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA\n"
+"#\n"
+"#  Within Subjects Effects\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                  Sum of Squares    df    Mean Square    F       p\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    Residual                 257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#\n"
+"#\n"
+"#\n"
+"#  Between Subjects Effects\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                Sum of Squares    df    Mean Square    F    p\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Residual               954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    Note. Type 3 Sums of Squares\n"
+"#"
+msgstr "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRM(\n"
+"    data = bugs,\n"
+"    rm = list(\n"
+"        list(\n"
+"            label = 'Frightening',\n"
+"            levels = c('Low', 'High'))),\n"
+"    rmCells = list(\n"
+"        list(\n"
+"            measure = 'LDLF',\n"
+"            cell = 'Low'),\n"
+"        list(\n"
+"            measure = 'LDHF',\n"
+"            cell = 'High')),\n"
+"    rmTerms = list(\n"
+"        'Frightening'))\n"
+"\n"
+"#\n"
+"#  重复测量方差分析\n"
+"#\n"
+"#  组内效应\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#                                  平方和    自由度    均方       F值     p值\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    Frightening              126     1         126.11    44.2    < .001\n"
+"#    残差                           257    90           2.85\n"
+"#  ───────────────────────────────────────────────────────────────────────\n"
+"#    注. 类型3平方和\n"
+"#\n"
+"#\n"
+"#\n"
+"#  组间效应\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#                              平方和    自由度    均方    F值    p值\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    残差                   954    90           10.6\n"
+"#  ─────────────────────────────────────────────────────────────────\n"
+"#    注. 类型3平方和\n"
+"#"
+
+#: anovaRMNP/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n"
+"#\n"
+"#  Friedman\n"
+"#  ────────────────────────\n"
+"#    χ²      df    p\n"
+"#  ────────────────────────\n"
+"#    55.8     3    < .001\n"
+"#  ────────────────────────\n"
+"#"
+msgstr "data('bugs', package = 'jmv')\n"
+"\n"
+"anovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n"
+"\n"
+"#\n"
+"#  重复测量方差分析（非参数法）\n"
+"#\n"
+"#  Friedman检验\n"
+"#  ────────────────────────\n"
+"#    χ²值      自由度    p值\n"
+"#  ────────────────────────\n"
+"#    55.8        3       < .001\n"
+"#  ────────────────────────\n"
+"#"
+
+#: ttestPS/options.description.R.usage
+msgid "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  PAIRED SAMPLES T-TEST\n"
+"#\n"
+"#  Paired Samples T-Test\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                   statistic    df      p\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('bugs', package = 'jmv')\n"
+"\n"
+"ttestPS(bugs, pairs = list(\n"
+"        list(i1 = 'LDLF', i2 = 'LDHF')))\n"
+"\n"
+"#\n"
+"#  配对样本T检验\n"
+"#\n"
+"#  配对样本T检验\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                                                         统计量    自由度     p值\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    LDLF    LDHF    Student's t值        -6.65    90.0    < .001\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+
+#: efa/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  EXPLORATORY FACTOR ANALYSIS\n"
+"#\n"
+"#  Factor Loadings\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2        Uniqueness\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Note. 'oblimin' rotation was used\n"
+"#"
+msgstr "data('iris')\n"
+"\n"
+"efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  探索性因子分析\n"
+"#\n"
+"#  因子载荷\n"
+"#  ────────────────────────────────────────────────\n"
+"#                    1        2                      独特剩余值\n"
+"#  ────────────────────────────────────────────────\n"
+"#    Sepal.Length    0.993                0.10181\n"
+"#    Sepal.Width              0.725       0.42199\n"
+"#    Petal.Length    0.933                0.00483\n"
+"#    Petal.Width     0.897                0.07088\n"
+"#  ────────────────────────────────────────────────\n"
+"#    注. 使用斜交旋转法\n"
+"#"
+
+#: mancova/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  MANCOVA\n"
+"#\n"
+"#  Multivariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                     value     F       df1    df2    p\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  Univariate Tests\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    Residuals    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('iris')\n"
+"\n"
+"mancova(data = iris,\n"
+"    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n"
+"    factors = Species)\n"
+"\n"
+"#\n"
+"#  多元协方差分析\n"
+"#\n"
+"#  多变量检验\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#                                             统计量     F值      自由度1    自由度2    p值\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n"
+"#               Wilks' Lambda         0.0234     199      8    288    < .001\n"
+"#               Hotelling's Trace       32.5     581      8    286    < .001\n"
+"#               Roy's Largest Root      32.2    1167      4    145    < .001\n"
+"#  ───────────────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  单变量检验\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#                               因变量                    平方和    自由度     均方    F值         p值\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n"
+"#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n"
+"#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n"
+"#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n"
+"#    残差    Sepal.Length                   38.96    147         0.2650\n"
+"#                 Sepal.Width                    16.96    147         0.1154\n"
+"#                 Petal.Length                   27.22    147         0.1852\n"
+"#                 Petal.Width                     6.16    147         0.0419\n"
+"#  ───────────────────────────────────────────────────────────────────────────────────────────────\n"
+"#"
+
+#: pca/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  PRINCIPAL COMPONENT ANALYSIS\n"
+"#\n"
+"#  Component Loadings\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         Uniqueness\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    Note. 'varimax' rotation was used\n"
+"#"
+msgstr "data('iris')\n"
+"\n"
+"pca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n"
+"\n"
+"#\n"
+"#  主成分分析\n"
+"#\n"
+"#  成分载荷\n"
+"#  ────────────────────────────────────────\n"
+"#                    1         独特剩余值\n"
+"#  ────────────────────────────────────────\n"
+"#    Sepal.Length     0.890        0.2076\n"
+"#    Sepal.Width     -0.460        0.7883\n"
+"#    Petal.Length     0.992        0.0168\n"
+"#    Petal.Width      0.965        0.0688\n"
+"#  ────────────────────────────────────────\n"
+"#    注. 使用最大方差法\n"
+"#"
+
+#: reliability/options.description.R.usage
+msgid "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  RELIABILITY ANALYSIS\n"
+"#\n"
+"#  Scale Reliability Statistics\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α    McDonald's ω\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+msgstr "data('iris')\n"
+"\n"
+"reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n"
+"            omegaScale = TRUE)\n"
+"\n"
+"#\n"
+"#  信度分析\n"
+"#\n"
+"#  量表信度统计\n"
+"#  ─────────────────────────────────────────\n"
+"#             Cronbach's α系数    McDonald's ω系数\n"
+"#  ─────────────────────────────────────────\n"
+"#    scale           0.708           0.848\n"
+"#  ─────────────────────────────────────────\n"
+"#"
+
+#: corrMatrix/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  CORRELATION MATRIX\n"
+"#\n"
+"#  Correlation Matrix\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n"
+"#            p-value            —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r                  —     0.902     0.832\n"
+"#            p-value                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r                            —     0.791\n"
+"#            p-value                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r                                      —\n"
+"#            p-value                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+msgstr "data('mtcars')\n"
+"\n"
+"corrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n"
+"\n"
+"#\n"
+"#  相关矩阵\n"
+"#\n"
+"#  相关矩阵\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#                           mpg      cyl       disp      hp\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r系数        —    -0.852    -0.848    -0.776\n"
+"#                  p值           —    < .001    < .001    < .001\n"
+"#\n"
+"#    cyl     Pearson's r系数                  —     0.902     0.832\n"
+"#            p值                      —    < .001    < .001\n"
+"#\n"
+"#    disp    Pearson's r系数                            —     0.791\n"
+"#            p值                                —    < .001\n"
+"#\n"
+"#    hp      Pearson's r系数                                      —\n"
+"#            p值                                          —\n"
+"#  ──────────────────────────────────────────────────────────────\n"
+"#"
+
+#: corrPart/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  PARTIAL CORRELATION\n"
+"#\n"
+"#  Partial Correlation\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r         —\n"
+"#            p-value             —\n"
+"#\n"
+"#    cyl     Pearson's r    -0.590         —\n"
+"#            p-value        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r    -0.606     0.719        —\n"
+"#            p-value        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Note. controlling for 'hp'\n"
+"#"
+msgstr "data('mtcars')\n"
+"\n"
+"corrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n"
+"\n"
+"#\n"
+"#  偏相关\n"
+"#\n"
+"#  偏相关\n"
+"#  ────────────────────────────────────────────────────\n"
+"#                           mpg       cyl       disp\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    mpg     Pearson's r系数         —\n"
+"#            p值             —\n"
+"#\n"
+"#    cyl     Pearson's r系数    -0.590         —\n"
+"#            p值        < .001         —\n"
+"#\n"
+"#    disp    Pearson's r系数    -0.606     0.719        —\n"
+"#            p值        < .001    < .001        —\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    注. 控制'hp'变量\n"
+"#"
+
+#: logLinear/options.description.R.usage
+msgid "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  LOG-LINEAR REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC     R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Predictor          Estimate     SE          Z            p\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "data('mtcars')\n"
+"\n"
+"tab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\n"
+"dat <- as.data.frame(tab)\n"
+"\n"
+"logLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n"
+"          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n"
+"          refLevels = list(\n"
+"              list(var=\"gear\", ref=\"3\"),\n"
+"              list(var=\"cyl\", ref=\"4\")))\n"
+"\n"
+"#\n"
+"#  对数线性回归\n"
+"#\n"
+"#  模型拟合评价\n"
+"#  ───────────────────────────────────────\n"
+"#    模型    偏差    AIC值     R²-McF值\n"
+"#  ───────────────────────────────────────\n"
+"#        1    4.12e-10    41.4     1.000\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  模型详细结果\n"
+"#\n"
+"#  模型 1\n"
+"#\n"
+"#  模型系数\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    变量                  系数     标准误          Z值            p值\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#    截距          -4.71e-16        1.00    -4.71e-16    1.000\n"
+"#    gear:\n"
+"#    4 – 3                  2.079        1.06        1.961    0.050\n"
+"#    5 – 3                  0.693        1.22        0.566    0.571\n"
+"#    cyl:\n"
+"#    6 – 4                  0.693        1.22        0.566    0.571\n"
+"#    8 – 4                  2.485        1.04        2.387    0.017\n"
+"#    gear:cyl:\n"
+"#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n"
+"#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n"
+"#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n"
+"#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n"
+"#  ──────────────────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+
+#: descriptives/options.description.R.usage
+msgid "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# frequency tables can be provided for factors\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  DESCRIPTIVES\n"
+"#\n"
+"#  Descriptives\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    N            32      32      32      32\n"
+"#    Missing       0       0       0       0\n"
+"#    Mean       20.1    6.19     231    3.69\n"
+"#    Median     19.2    6.00     196    4.00\n"
+"#    Minimum    10.4    4.00    71.1       3\n"
+"#    Maximum    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  FREQUENCIES\n"
+"#\n"
+"#  Frequencies of gear\n"
+"#  ────────────────────\n"
+"#    Levels    Counts\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# spliting by a variable\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# providing histograms\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# splitting by multiple variables\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+msgstr "data('mtcars')\n"
+"dat <- mtcars\n"
+"\n"
+"# 为因子提供频数表\n"
+"dat$gear <- as.factor(dat$gear)\n"
+"\n"
+"descriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n"
+"\n"
+"#\n"
+"#  描述\n"
+"#\n"
+"#  描述\n"
+"#  ───────────────────────────────────────────\n"
+"#               mpg     cyl     disp    gear\n"
+"#  ───────────────────────────────────────────\n"
+"#    个案数           32      32      32      32\n"
+"#    缺失值       0       0       0       0\n"
+"#    均值       20.1    6.19     231    3.69\n"
+"#    中位数     19.2    6.00     196    4.00\n"
+"#    最小值    10.4    4.00    71.1       3\n"
+"#    最大值    33.9    8.00     472       5\n"
+"#  ───────────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  频数\n"
+"#\n"
+"#  gear的频数\n"
+"#  ────────────────────\n"
+"#    水平    计数\n"
+"#  ────────────────────\n"
+"#    3             15\n"
+"#    4             12\n"
+"#    5              5\n"
+"#  ────────────────────\n"
+"#\n"
+"\n"
+"# 按变量拆分\n"
+"descriptives(formula = disp + mpg ~ cyl, dat,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"#提供直方图\n"
+"descriptives(formula = mpg ~ cyl, dat, hist=T,\n"
+"    median=F, min=F, max=F, n=F, missing=F)\n"
+"\n"
+"# 根据多个变量拆分\n"
+"descriptives(formula = mpg ~ cyl:gear, dat,\n"
+"    median=F, min=F, max=F, missing=F)"
+
+#: ttestOneS/options/mann.description
+msgid "deprecated"
+msgstr "不赞成"
+
+#: anovaOneW/results/plots.template/desc.description
+#: ttestIS/results/plots.template/desc.description
+#: ttestPS/results/plots.template/desc.description
+msgid "descriptives plot"
+msgstr "描述图"
+
+#: package/analyses/empty.menuGroup
+#: empty/options.menuGroup
+msgid "dev"
+msgstr "偏差"
+
+#: R/ancova.b.R
+#: ancova/results/main.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaOneW/results/postHoc.template.columns.content
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "df"
+msgstr "自由度"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df1"
+msgstr "自由度1"
+
+#: anovaOneW/results/anova.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: mancova/results/multivar.columns.title
+msgid "df2"
+msgstr "自由度2"
+
+#: anovaRM/ui/variablesupplier[1]/rmCells.template[0].ghostText
+msgid "drag variable here"
+msgstr "将变量选入这里"
+
+#: ancova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anova/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: anovaRM/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: cfa/ui[0][0]/factors.template/blockList.ghostText
+#: linReg/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: linReg/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logLinear/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logLinear/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegBin/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegBin/ui[6][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegMulti/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+#: logRegMulti/ui[5][0]/emMeansSupplier[0]/emMeans.template/blockList.ghostText
+#: logRegOrd/ui[1]/modelSupplier[0]/blocks.template/blockList.ghostText
+msgid "drag variables here"
+msgstr "将变量选入这里"
+
+#: descriptives/ui[2][0][1][0]/pcEqGr/pcNEqGr.suffix
+msgid "equal groups"
+msgstr "个相等的组"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "error %"
+msgstr "误差%"
+
+#: efa/ui[1][0][1]/nFactorMethod_fixed/nFactors.suffix
+msgid "factor(s)"
+msgstr "因子"
+
+#: R/pca.b.R
+msgid "factors"
+msgstr "因子"
+
+#: R/cfa.b.R
+msgid "fixed parameter"
+msgstr "固定系数"
+
+#: corrMatrix/options/flag.description.ui
+#: corrPart/options/flag.description.ui
+msgid "flag significant correlations (p < .05) with symbols."
+msgstr "用符号标记有统计学意义的相关（p<0.05）"
+
+#: anovaOneW/options/phFlag.description.ui
+msgid "flag significant post-hoc comparisons."
+msgstr "标记有统计学意义的事后检验."
+
+#: reliability/results/items.columns.superTitle
+msgid "if item dropped"
+msgstr "如果剔除该条目"
+
+#: anovaRM/options/contrasts.description.R
+msgid "in development"
+msgstr "进行中"
+
+#: anovaRM/options/groupSumm.description.ui
+msgid "include a summary of the groups"
+msgstr "包括各组的信息摘要"
+
+#: R/reliability.b.R
+msgid "item {item} correlates negatively with the total scale and probably should be reversed"
+msgstr "条目{item}与总分呈负相关，可能应该反向计分"
+
+#: reliability/results/items.columns.title
+msgid "item-rest correlation"
+msgstr "剩余条目相关性"
+
+#: R/reliability.b.R
+msgid "items {items} correlate negatively with the total scale and probably should be reversed"
+msgstr "条目{item}与总分呈负相关，可能应该反向计分"
+
+#: R/ancova.b.R
+msgid "linear"
+msgstr "线性的"
+
+#: R/descriptives.b.R
+msgid "lower bound"
+msgstr "下限"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "mean"
+msgstr "均值"
+
+#: R/pca.b.R
+msgid "none"
+msgstr "无"
+
+#: R/pca.b.R
+msgid "oblimin"
+msgstr "斜交"
+
+#: R/ancova.b.R
+msgid "octic"
+msgstr "octic"
+
+#: contTables/options/yaxisPc/total_pc.title
+msgid "of total"
+msgstr "合计"
+
+#: corrMatrix/options/hypothesis.description.R
+#: corrPart/options/hypothesis.description.R
+msgid "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively."
+msgstr "备择假设中的“'corr'”（默认）、“'pos'”、“'neg'”分别对应相关、正相关、负相关。"
+
+#: corrPart/options/type.description.R
+msgid "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation."
+msgstr "相关类型“part”（默认）或“semi”分别对应偏相关或半偏相关."
+
+#: cfa/options/fitMeasures.description.R
+msgid "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively"
+msgstr "`'cfi'`、`'tli'`、 `'srmr'`、`'rmsea'`、`'aic'`或 `'bic'`分别对应CFI、TLI、SRMR、RMSEA的90%置信区间、校正AIC和BIC模型拟合指标"
+
+#: ancova/options/effectSize.description.R
+#: anova/options/effectSize.description.R
+#: anovaRM/options/effectSize.description.R
+msgid "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively"
+msgstr "“eta”、“partEta”或“omega”分别用η²、偏η²和ω²效应量表示"
+
+#: anovaRM/options/spherCorr.description.R
+msgid "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively"
+msgstr "`'none'` （默认）、“GG”或“HF”分别表示对球形度检验未进行P值校正、进行Greenhouse-Geisser P值校正和Huynh-Feldt P值校正"
+
+#: anovaRM/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively"
+msgstr "`'none'`、“tukey”（默认）、“scheffe”、“bonf”或“holm”分别表示未校正、Tukey、Scheffe、Bonferroni和Holm校正"
+
+#: ancova/options/postHocCorr.description.R
+#: anova/options/postHocCorr.description.R
+msgid "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively"
+msgstr "“none”、“tukey”、“scheffe”、“bonf”或“holm”分别表示未校正、Tukey、Scheffe、Bonferroni和Holm校正"
+
+#: mancova/options/multivar.description.R
+msgid "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively"
+msgstr "`'pillai'`、`'wilks'`、`'hotel'`或`'roy'`分别表示Pillai's Trace、Wilks' Lambda、Hotelling's Trace和Roy's最大根多元统计"
+
+#: logLinear/options/pseudoR2.description.R
+#: logRegBin/options/pseudoR2.description.R
+#: logRegMulti/options/pseudoR2.description.R
+#: logRegOrd/options/pseudoR2.description.R
+msgid "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively"
+msgstr "`'r2mf'`、`'r2cs'`或`'r2n'`分别表示McFadden's、Cox & Snell和Nagelkerke pseudo-R²"
+
+#: R/ancova.b.R
+#: R/descriptives.b.R
+#: ancova/results/main.columns.title
+#: ancova/results/assump/norm.columns.title
+#: ancova/results/contrasts.template.columns.title
+#: anovaNP/results/table.columns.title
+#: anovaNP/results/comparisons.template.columns.title
+#: anovaOneW/results/anova.columns.title
+#: anovaOneW/results/assump/norm.columns.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+#: anovaRM/results/assump/spherTable.columns.title
+#: anovaRM/results/contrasts.template.columns.title
+#: anovaRMNP/results/table.columns.title
+#: anovaRMNP/results/comp.columns.title
+#: cfa/results/factorLoadings.columns.title
+#: cfa/results/factorEst/factorCov.columns.title
+#: cfa/results/factorEst/factorIntercept.columns.title
+#: cfa/results/resEst/resCov.columns.title
+#: cfa/results/resEst/resIntercept.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/results/chiSq.columns.title
+#: contTables/results/taub.columns.title
+#: contTables/results/mh.columns.title
+#: contTablesPaired/results/test.columns.title
+#: linReg/results/modelFit.columns.title
+#: linReg/results/modelComp.columns.title
+#: linReg/results/models.template/anova.columns.title
+#: linReg/results/models.template/coef.columns.title
+#: linReg/results/models.template/assump/durbin.columns.title
+#: linReg/results/models.template/assump/norm.columns.title
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logLinear/results/models.template/coef.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegBin/results/models.template/coef.columns.title
+#: logRegBin/results/models.template/assump/boxTidwell.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegMulti/results/models.template/coef.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: logRegOrd/results/models.template/coef.columns.title
+#: logRegOrd/results/models.template/thres.columns.title
+#: mancova/results/multivar.columns.title
+#: mancova/results/univar.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: mancova/results/assump/shapiro.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTest2/results/table.columns.title
+#: propTestN/results/tests.columns.title
+#: ttestIS/results/ttest.columns.title
+#: ttestIS/results/assum/norm.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "p"
+msgstr "p值"
+
+#: anovaOneW/results/postHoc.template.columns.content
+#: corrMatrix/results/matrix.columns.content
+#: corrPart/results/matrix.columns.content
+msgid "p-value"
+msgstr "p值"
+
+#: R/ancova.b.R
+msgid "p<sub>bonferroni</sub>"
+msgstr "p<sub>bonferroni</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>holm</sub>"
+msgstr "p<sub>holm</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>scheffe</sub>"
+msgstr "p<sub>scheffe</sub>"
+
+#: R/ancova.b.R
+msgid "p<sub>tukey</sub>"
+msgstr "p<sub>tukey</sub>"
+
+#: ancova/options/effectSize/partEta.title
+#: anova/options/effectSize/partEta.title
+msgid "partial η²"
+msgstr "偏 η²"
+
+#: anovaOneW/options/fishers.description.ui
+msgid "perform Fisher's (or what might be call 'normal') ANOVAs."
+msgstr "执行Fisher's（即通常所称的）方差分析。"
+
+#: ttestIS/options/norm.description.ui
+#: ttestPS/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "执行Shapiro-Wilk正态性检验。较低的p值提示数据不服从正态分布。"
+
+#: ancova/options/norm.description.ui
+#: anova/options/norm.description.ui
+msgid "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed."
+msgstr "执行Shapiro-Wilk正态性检验。较低的p值提示残差不服从正态分布。"
+
+#: ttestIS/options/students.description.ui
+msgid "perform Student's independent samples t-tests."
+msgstr "执行独立样本t检验."
+
+#: ttestOneS/options/students.description.ui
+msgid "perform Student's one-sample t-tests."
+msgstr "执行单样本t检验."
+
+#: ttestPS/options/students.description.ui
+msgid "perform Student's paired samples t-tests."
+msgstr "执行配对样本t检验."
+
+#: anovaOneW/options/welchs.description.ui
+msgid "perform Welch's ANOVAs."
+msgstr "执行 Welch's 方差分析."
+
+#: ttestIS/options/welchs.description.ui
+msgid "perform Welch's tests."
+msgstr "执行 Welch's 检验."
+
+#: ttestOneS/options/wilcoxon.description.ui
+#: ttestPS/options/wilcoxon.description.ui
+msgid "perform Wilcoxon signed rank tests."
+msgstr "执行Wilcoxon符号秩检验."
+
+#: ttestIS/options/mann.description.ui
+msgid "perform a Mann-Whitney U test."
+msgstr "执行Mann-Whitney U检验."
+
+#: ttestOneS/options/norm.description.ui
+msgid "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution."
+msgstr "执行Shapiro-Wilk正态性检验。较低的p值提示数据不服从正态分布。"
+
+#: ancova/options/modelTest.description.ui
+#: anova/options/modelTest.description.ui
+msgid "perform an overall model test."
+msgstr "执行整体模型检验."
+
+#: corrMatrix/options/plotDens.description.ui
+msgid "plot densities along the diagonal of the correlation matrix plot."
+msgstr "沿着相关矩阵图的对角线绘制密度。"
+
+#: ancova/options/emmPlotData.description.ui
+#: anova/options/emmPlotData.description.ui
+#: anovaRM/options/emmPlotData.description.ui
+msgid "plot the data along with the marginal means."
+msgstr "绘制边际均值图."
+
+#: R/pca.b.R
+msgid "promax"
+msgstr "最优法"
+
+#: ttestIS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's independent samples t-tests."
+msgstr "提供独立样本t检验的贝叶斯因子."
+
+#: ttestOneS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's one-sample t-tests."
+msgstr "提供单样本t检验的贝叶斯因子."
+
+#: ttestPS/options/bf.description.ui
+msgid "provide Bayes factors for the Student's paired samples t-tests."
+msgstr "提供配对样本t检验的贝叶斯因子."
+
+#: ancova/options/homo.description.ui
+#: anova/options/homo.description.ui
+#: anovaRM/options/leveneTest.description.ui
+msgid "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "提供Levene's方差齐性检验结果。较低的p值提示组间方差不齐。"
+
+#: anovaOneW/options/eqv.description.ui
+#: ttestIS/options/eqv.description.ui
+msgid "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances."
+msgstr "提供Levene's方差齐性检验结果。较低的p值提示组间方差不齐。"
+
+#: anovaOneW/options/qq.description.ui
+#: ttestIS/options/qq.description.ui
+#: ttestPS/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "提供残差Q-Q图：通过对比实际残差与预期残差判断数据是否完全服从正态分布。偏离对角线较远表明数据不服从正态分布。"
+
+#: ancova/options/qq.description.ui
+#: anova/options/qq.description.ui
+#: anovaRM/options/qq.description.ui
+msgid "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed."
+msgstr "提供残差Q-Q图：通过对比实际残差与预期残差判断数据是否完全服从正态分布。偏离对角线较远表明残差不服从正态分布。"
+
+#: ancova/options/postHocES.description.ui
+#: anova/options/postHocES.description.ui
+msgid "provide a Cohen's d measure of effect size for the post-hoc tests."
+msgstr "为事后检验提供Cohen’s d效应量。"
+
+#: corrMatrix/options/kendall.description.ui
+#: corrPart/options/kendall.description.ui
+msgid "provide a Kendall's tau-b for each combination of variables."
+msgstr "为每一组变量提供Kendall's tau-b值."
+
+#: corrMatrix/options/pearson.description.ui
+#: corrPart/options/pearson.description.ui
+msgid "provide a Pearson's r for each combination of variables."
+msgstr "为每一组变量提供Pearson's 相关系数r."
+
+#: ttestOneS/options/qq.description.ui
+msgid "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution."
+msgstr "提供残差Q-Q图：通过对比实际残差与预期残差判断数据是否完全服从正态分布。偏离对角线较远表明数据不服从正态分布。"
+
+#: corrMatrix/options/spearman.description.ui
+#: corrPart/options/spearman.description.ui
+msgid "provide a Spearman's rho for each combination of variables."
+msgstr "为每一组变量提供Spearman's相关系数rho."
+
+#: ttestOneS/options/ci.description.ui
+msgid "provide a confidence interval for the difference between the mean estimate and the test value."
+msgstr "提供平均值和比较值之差的置信区间。"
+
+#: corrMatrix/options/plots.description.ui
+msgid "provide a correlation matrix plot."
+msgstr "提供相关矩阵图."
+
+#: corrMatrix/options/sig.description.ui
+#: corrPart/options/sig.description.ui
+msgid "provide a p-value for each correlation co-efficient."
+msgstr "为每个相关系数提供p值."
+
+#: ttestOneS/options/desc.description.ui
+msgid "provide a table of descriptives for each variable."
+msgstr "为每个变量提供描述表."
+
+#: ancova/options/emmTables.description.ui
+#: anova/options/emmTables.description.ui
+#: anovaRM/options/emmTables.description.ui
+msgid "provide a table of the estimated marginal means."
+msgstr "提供边际估计均值表."
+
+#: corrMatrix/options/ci.description.ui
+msgid "provide confidence intervals for Pearson's r."
+msgstr "提供Pearson's相关系数r的置信区间."
+
+#: ttestIS/options/ciES.description.ui
+#: ttestOneS/options/ciES.description.ui
+#: ttestPS/options/ciES.description.ui
+msgid "provide confidence intervals for the effect-sizes"
+msgstr "提供效应量的置信区间"
+
+#: ttestIS/options/ci.description.ui
+#: ttestPS/options/ci.description.ui
+msgid "provide confidence intervals for the mean differences."
+msgstr "提供均值差的置信区间."
+
+#: ancova/options/postHocEsCi.description.ui
+#: anova/options/postHocEsCi.description.ui
+msgid "provide confidence intervals for the post-hoc effect sizes."
+msgstr "提供事后检验效应量的置信区间."
+
+#: corrMatrix/options/plotStats.description.ui
+msgid "provide correlation co-efficients in the correlation matrix plot."
+msgstr "在相关矩阵图中提供相关系数."
+
+#: anovaOneW/options/descPlot.description.ui
+msgid "provide descriptive plots for each group."
+msgstr "为每组提供描述图。"
+
+#: ttestOneS/options/plots.description.ui
+msgid "provide descriptive plots for each variable."
+msgstr "为每个变量提供描述图。"
+
+#: ttestPS/options/plots.description.ui
+msgid "provide descriptives for each group of measurements."
+msgstr "为每组测量值进行描述."
+
+#: anovaOneW/options/desc.description.ui
+#: ttestIS/options/desc.description.ui
+msgid "provide descriptives for each group."
+msgstr "对每组进行描述."
+
+#: ttestIS/options/plots.description.ui
+msgid "provide descriptives plots."
+msgstr "提供描述图."
+
+#: ttestIS/options/effectSize.description.ui
+#: ttestPS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's D)."
+msgstr "提供效应量（Cohen's d值）"
+
+#: ttestOneS/options/effectSize.description.ui
+msgid "provide effect-sizes (Cohen's d)."
+msgstr "提供效应量（Cohen's d值）"
+
+#: ttestIS/options/meanDiff.description.ui
+#: ttestPS/options/meanDiff.description.ui
+msgid "provide mean differences and standard errors of the mean differences."
+msgstr "提供均值差及其标准误."
+
+#: anovaOneW/options/phMeanDif.description.ui
+msgid "provide mean differences with the post-hoc tests."
+msgstr "提供事后检验的均值差."
+
+#: ttestOneS/options/meanDiff.description.ui
+msgid "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value."
+msgstr "提供估计均值与比较值的均值差及其标准误."
+
+#: ancova/options/effectSize.description.ui
+#: anova/options/effectSize.description.ui
+#: anovaRM/options/effectSize.description.ui
+msgid "provide measures of effect size; η², partial η², or ω²."
+msgstr "提供效应量η², 偏 η², 或ω²."
+
+#: anovaRM/options/spherCorr.description.ui
+msgid "provide p-value corrections for sphericity."
+msgstr "提供球形度校正的p值."
+
+#: ancova/options/emmPlots.description.ui
+#: anova/options/emmPlots.description.ui
+#: anovaRM/options/emmPlots.description.ui
+msgid "provide plots of the estimated marginal means."
+msgstr "绘制边际估计均值图."
+
+#: ancova/options/postHoc.description.ui
+#: anova/options/postHoc.description.ui
+#: anovaOneW/options/phMethod.description.ui
+#: anovaRM/options/postHoc.description.ui
+msgid "provide post-hoc tests."
+msgstr "提供事后检验结果."
+
+#: anovaOneW/options/phSig.description.ui
+msgid "provide significance levels for the post-hoc tests."
+msgstr "提供事后检验的显著性水平."
+
+#: anovaRM/options/spherTests.description.ui
+msgid "provide sphericity tests."
+msgstr "提供球形度检验结果."
+
+#: anovaOneW/options/phTest.description.ui
+msgid "provide test results (t-value and degrees of freedom) for post-hoc tests."
+msgstr "提供事后检验结果（t值和自由度）"
+
+#: corrMatrix/options/n.description.ui
+#: corrPart/options/n.description.ui
+msgid "provide the number of cases."
+msgstr "提供个案数."
+
+#: R/ancova.b.R
+msgid "quadratic"
+msgstr "二次方"
+
+#: R/ancova.b.R
+msgid "quartic"
+msgstr "四次方"
+
+#: R/pca.b.R
+msgid "quartimax"
+msgstr "四次方极大法"
+
+#: R/ancova.b.R
+msgid "quintic"
+msgstr "五次方"
+
+#: R/reliability.b.R
+msgid "reverse scaled item"
+msgstr "反向计分条目"
+
+#: contTables/options/compare/rows.title
+msgid "rows"
+msgstr "行"
+
+#: contTables/options/xaxis.description.R
+msgid "rows (default), or columns in bar plot X axis"
+msgstr "条形图X轴中的行（默认）或列"
+
+#: reliability/results/scale.columns.content
+msgid "scale"
+msgstr "标度"
+
+#: reliability/results/scale.columns.title
+#: reliability/results/items.columns.title
+msgid "sd"
+msgstr "标准差"
+
+#: R/ancova.b.R
+msgid "septic"
+msgstr "七次方"
+
+#: logRegOrd/options.description.R.usage
+msgid "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  ORDINAL LOGISTIC REGRESSION\n"
+"#\n"
+"#  Model Fit Measures\n"
+"#  ───────────────────────────────────────\n"
+"#    Model    Deviance    AIC    R²-McF\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  MODEL SPECIFIC RESULTS\n"
+"#\n"
+"#  MODEL 1\n"
+"#\n"
+"#  Model Coefficients\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    Predictor    Estimate    SE       Z        p\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+msgstr "set.seed(1337)\n"
+"\n"
+"y <- factor(sample(1:3, 100, replace = TRUE))\n"
+"x1 <- rnorm(100)\n"
+"x2 <- rnorm(100)\n"
+"\n"
+"df <- data.frame(y=y, x1=x1, x2=x2)\n"
+"\n"
+"logRegOrd(data = df, dep = y,\n"
+"          covs = vars(x1, x2),\n"
+"          blocks = list(list(\"x1\", \"x2\")))\n"
+"\n"
+"#\n"
+"#  有序Logistic回归\n"
+"#\n"
+"#  模型拟合评价\n"
+"#  ───────────────────────────────────────\n"
+"#      模型    偏差    AIC值    R²-McF值\n"
+"#  ───────────────────────────────────────\n"
+"#        1         218    226    5.68e-4\n"
+"#  ───────────────────────────────────────\n"
+"#\n"
+"#\n"
+"#  模型详细结果\n"
+"#\n"
+"#  模型 1\n"
+"#\n"
+"#  模型系数\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    变量           系数    标准误       Z值        p值\n"
+"#  ────────────────────────────────────────────────────\n"
+"#    x1             0.0579    0.193    0.300    0.764\n"
+"#    x2             0.0330    0.172    0.192    0.848\n"
+"#  ────────────────────────────────────────────────────\n"
+"#\n"
+"#"
+
+#: R/ancova.b.R
+msgid "sextic"
+msgstr "六次方的"
+
+#: R/pca.b.R
+msgid "simplimax"
+msgstr "最简法"
+
+#: R/pca.b.R
+msgctxt "specific factor"
+msgid "Factor"
+msgstr "因子"
+
+#: contTables/options/bartype.description.R
+msgid "stack or side by side (default), barplot type"
+msgstr "堆积或并排（默认），条形图类型"
+
+#: ttestPS/results/ttest.columns.title
+msgid "statistic"
+msgstr "统计量"
+
+#: R/ancova.b.R
+#: contTables/results/taub.columns.title
+#: linReg/results/models.template/coef.columns.title
+msgid "t"
+msgstr "t值"
+
+#: anovaOneW/results/postHoc.template.columns.content
+msgid "t-value"
+msgstr "t值"
+
+#: efa/options/factorScoreMethod/tenBerge.title
+msgid "ten Berge"
+msgstr "ten Berge 法"
+
+#: R/descriptives.b.R
+msgid "th percentile"
+msgstr "百分位数"
+
+#: linReg/options/weights.description.R
+msgid "the (optional) weights from `data` to be used in the fitting process"
+msgstr ""
+
+#: ttestOneS/options/hypothesis.description.ui
+msgid "the alternative and null hypotheses;\n"
+"\n"
+"|              | Alternative (Hₐ)  | Null (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n"
+"| > Test value | Mean > Test value | Mean <= Test value |\n"
+"| < Test value | Mean < Test value | Mean >= Test value |"
+msgstr "备择假设和零假设;\n"
+"\n"
+"|              | 备择假设 (Hₐ)  | 零假设 (H₀)          |\n"
+"|--------------|-------------------|--------------------|\n"
+"| ≠ 比较值 | 均值 ≠ 比较值 | 均值 = 比较值  |\n"
+"| > 比较值 | 均值 > 比较值 | 均值 <= 比较值 |\n"
+"| < 比较值 | 均值 < 比较值 | 均值 >= 比较值 |"
+
+#: contTables/options/hypothesis.description.ui
+#: ttestIS/options/hypothesis.description.ui
+#: ttestPS/options/hypothesis.description.ui
+msgid "the alternative hypothesis."
+msgstr "备择假设."
+
+#: corrMatrix/options/hypothesis.description.ui
+#: corrPart/options/hypothesis.description.ui
+msgid "the alternative hypothesis. Allows for one-tailed tests."
+msgstr "备择假设。可以进行单侧检验."
+
+#: anovaRM/options/bs.description.ui
+msgid "the between subjects factors (optional)."
+msgstr "组间因子（可选）"
+
+#: anovaRM/options/bsTerms.description.ui
+msgid "the between subjects terms of the model."
+msgstr "模型的组间项."
+
+#: ancova/options/factors.description.ui
+msgid "the categorical explanatory (or independent) variables."
+msgstr "分类解释变量（或自变量）。"
+
+#: ttestIS/options/ciWidthES.description.ui
+#: ttestOneS/options/ciWidthES.description.ui
+#: ttestPS/options/ciWidthES.description.ui
+msgid "the confidence interval width for the effect-sizes."
+msgstr "效应量的置信区间宽度."
+
+#: ancova/options/postHocEsCiWidth.description.ui
+#: anova/options/postHocEsCiWidth.description.ui
+msgid "the confidence interval width for the post-hoc effect sizes."
+msgstr "事后检验效应量的置信区间宽度."
+
+#: corrMatrix/options/ciWidth.description.ui
+#: ttestIS/options/ciWidth.description.ui
+#: ttestOneS/options/ciWidth.description.ui
+#: ttestPS/options/ciWidth.description.ui
+msgid "the confidence interval width."
+msgstr "置信区间宽度."
+
+#: ancova/options/covs.description.ui
+msgid "the continuous explanatory (or independent) variables, also known as covariates."
+msgstr "连续性解释变量（或自变量），也称协变量."
+
+#: ancova/options/contrasts.description.ui
+#: anova/options/contrasts.description.ui
+msgid "the contrasts to use."
+msgstr "对比."
+
+#: corrPart/options/controls.description.ui
+msgid "the control variables of interest."
+msgstr "需要控制的协变量."
+
+#: propTestN/options/counts.description.R
+msgid "the counts in `data`"
+msgstr "`数据`中的计数资料"
+
+#: anovaRM/options/cov.description.ui
+msgid "the covariates (specifying these makes this an ANCOVA)"
+msgstr "协变量（在协方差分析中指定这些变量）"
+
+#: linReg/options/covs.description.R
+msgid "the covariates from `data`"
+msgstr "`数据`中的协变量"
+
+#: ancova/options/data.description.R
+#: anova/options/data.description.R
+#: anovaNP/options/data.description.R
+#: anovaOneW/options/data.description.R
+#: anovaRM/options/data.description.R
+#: anovaRMNP/options/data.description.R
+#: cfa/options/data.description.R
+#: contTables/options/data.description.R
+#: contTablesPaired/options/data.description.R
+#: corrMatrix/options/data.description.R
+#: corrPart/options/data.description.R
+#: descriptives/options/data.description.R
+#: efa/options/data.description.R
+#: linReg/options/data.description.R
+#: logLinear/options/data.description.R
+#: logRegBin/options/data.description.R
+#: logRegMulti/options/data.description.R
+#: logRegOrd/options/data.description.R
+#: mancova/options/data.description.R
+#: pca/options/data.description.R
+#: propTest2/options/data.description.R
+#: propTestN/options/data.description.R
+#: reliability/options/data.description.R
+#: ttestIS/options/data.description.R
+#: ttestOneS/options/data.description.R
+#: ttestPS/options/data.description.R
+msgid "the data as a data frame"
+msgstr "数据框格式"
+
+#: linReg/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric"
+msgstr "`数据`中的因变量，必须是数值型"
+
+#: ancova/options/dep.description.R
+#: anova/options/dep.description.R
+msgid "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)"
+msgstr "`数据`中的因变量，必须是数值型（提供公式时不需要，见示例）."
+
+#: ancova/options/dep.description.ui
+msgid "the dependent variable. For ANCOVA, these will be continuous."
+msgstr "因变量. 对于协方差分析，必须是连续性变量."
+
+#: anova/options/dep.description.ui
+msgid "the dependent variable. For ANOVA, these will be continuous."
+msgstr "因变量. 对于方差分析，必须是连续性变量."
+
+#: ttestIS/options/vars.description.R
+msgid "the dependent variables (not necessary when using a formula, see the examples)"
+msgstr "因变量（使用公式时不需要，见示例）"
+
+#: ttestIS/options/vars.description.ui
+msgid "the dependent variables -- a separate t-test is performed for each dependent variable specified."
+msgstr "因变量 -- 对每个特定的因变量进行单独的t检验."
+
+#: anovaOneW/options/deps.description.ui
+msgid "the dependent variables. For ANOVA, these will be continuous."
+msgstr "因变量. 对于方差分析，必须是连续性变量."
+
+#: ancova/options/emmPlotError.description.ui
+#: anova/options/emmPlotError.description.ui
+#: anovaRM/options/emmPlotError.description.ui
+msgid "the error bars to plot on the marginal means."
+msgstr "绘制在边际均值图上的误差线."
+
+#: ancova/options/covs.description.R
+msgid "the explanatory covariates (not necessary when providing a formula, see examples)"
+msgstr "协变量（提供公式时不需要，见示例）"
+
+#: ancova/options/factors.description.R
+#: anova/options/factors.description.R
+msgid "the explanatory factors in `data` (not necessary when providing a formula, see examples)"
+msgstr "`数据`中的解释性因子变量（提供公式时不需要，见示例）"
+
+#: anovaOneW/options/group.description.ui
+msgid "the explanatory or independent variable. For ANOVA this will be categorical."
+msgstr "解释性变量或自变量. 对方差分析必须是分类变量."
+
+#: anova/options/factors.description.ui
+msgid "the explanatory or independent variables. For ANOVA these will be categorical."
+msgstr "解释性变量或自变量. 对方差分析必须是分类变量."
+
+#: linReg/options/factors.description.R
+msgid "the fixed factors from `data`"
+msgstr "`数据`中的固定因子"
+
+#: ttestIS/options/group.description.R
+msgid "the grouping variable with two levels (not necessary when using a formula, see the examples)"
+msgstr "两水平的分组变量（使用公式时不需要，见示例）"
+
+#: anovaRM/options/depLabel.description.ui
+msgid "the label to use for the dependent variable."
+msgstr "因变量标签."
+
+#: cfa/results/modelSyntax.description
+msgid "the lavaan syntax used to fit the model"
+msgstr "用于拟合模型的lavaan语法"
+
+#: anovaOneW/options/miss.description.ui
+#: ttestIS/options/miss.description.ui
+#: ttestPS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "缺失值处理方法。`Analysis by analysis` 为每次分析时删除缺失值。`Listwise`为所有分析过程中删除有缺失值的行."
+
+#: ttestOneS/options/miss.description.ui
+msgid "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing."
+msgstr "缺失值处理方法。`Analysis by analysis` 为删除每个变量的缺失值。`Listwise`为所有分析过程中删除有缺失值的行."
+
+#: ancova/options/modelTerms.description.ui
+msgid "the model terms which make up the model."
+msgstr "模型项."
+
+#: anova/options/modelTerms.description.ui
+msgid "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted."
+msgstr "模型项。默认情况下，会创建一个全因子模型，这里可以自定义模型的项."
+
+#: ttestPS/options/pairs.description.ui
+msgid "the pairs of measurements -- a separate t-test is performed for each pair of measurements."
+msgstr "两两比较 -- 对每对比较进行单独的t检验."
+
+#: ancova/options/postHocCorr.description.ui
+#: anova/options/postHocCorr.description.ui
+#: anovaRM/options/postHocCorr.description.ui
+msgid "the post-hoc multiple comparisons corrections to use."
+msgstr "要使用的事后多重比较方法."
+
+#: ttestIS/options/bfPrior.description.ui
+#: ttestOneS/options/bfPrior.description.ui
+#: ttestPS/options/bfPrior.description.ui
+msgid "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707."
+msgstr "student's t检验贝叶斯因子的先验宽度。该值介于0.5和2.0之间，默认为0.707."
+
+#: anovaRM/options/rm.description.ui
+msgid "the repeated measures design."
+msgstr "重复测量设计."
+
+#: anovaRM/options/rmCells.description.ui
+msgid "the repeated measures measurements."
+msgstr "重复测量指标."
+
+#: anovaRM/options/rmTerms.description.ui
+msgid "the repeated measures terms of the model."
+msgstr "模型中的重复测量项."
+
+#: ancova/options/emMeans.description.ui
+#: anova/options/emMeans.description.ui
+#: anovaRM/options/emMeans.description.ui
+msgid "the terms to provide estimated marginal means for. Here you can specify multiple terms."
+msgstr "提供边际估计均值项。可以指定多个项."
+
+#: ttestOneS/options/testValue.description.ui
+msgid "the test value to test against (typically zero)."
+msgstr "比较值（通常为零）"
+
+#: corrPart/options/type.description.ui
+msgid "the type of correlation to calculate"
+msgstr "相关性计算类型"
+
+#: ancova/options/ss.description.ui
+#: anova/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 1, 2, or 3."
+msgstr "平方和类型；类型1、2或3。"
+
+#: anovaRM/options/ss.description.ui
+msgid "the type of sums of squares to use; Type 2, or 3."
+msgstr "平方和类型；类型2或3。"
+
+#: propTestN/options/var.description.R
+msgid "the variable of interest in `data` (not necessary when using a formula, see the examples)"
+msgstr "`数据`中的目标变量（提供公式时不需要，见示例）"
+
+#: ttestIS/options/group.description.ui
+msgid "the variable specifying the groups; must have 2 levels."
+msgstr "分组变量；必须有两个水平."
+
+#: contTables/options/cols.description.R
+#: contTablesPaired/options/cols.description.R
+msgid "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "列联表中的列变量（提供公式时不需要，见示例）"
+
+#: contTables/options/counts.description.R
+#: contTablesPaired/options/counts.description.R
+msgid "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "列联表中用作计数的变量（提供公式时不需要，见示例）"
+
+#: contTables/options/rows.description.R
+#: contTablesPaired/options/rows.description.R
+msgid "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "列联表中的行变量（提供公式时不需要，见示例）"
+
+#: ttestOneS/options/vars.description.ui
+msgid "the variables of interest -- a separate t-test is performed for each variable specified."
+msgstr "目标变量 -- 对每个指定的变量进行单独的t检验。"
+
+#: corrMatrix/options/vars.description.ui
+#: corrPart/options/vars.description.ui
+msgid "the variables of interest."
+msgstr "目标变量."
+
+#: contTables/options/layers.description.R
+msgid "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)"
+msgstr "用于拆分列联表的变量（提供公式时不需要，见示例）"
+
+#: ancova/options/ciWidthEmm.description.ui
+#: anova/options/ciWidthEmm.description.ui
+#: anovaRM/options/ciWidthEmm.description.ui
+msgid "the width for the Confidence intervals."
+msgstr "置信区间宽度."
+
+#: contTables/options/yaxisPc.description.R
+msgid "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis."
+msgstr "合计_百分比（默认）、列_百分比或行_百分比。分别使用`合计`, `列内`或`行内`百分比作为条形图的y轴."
+
+#: R/descriptives.b.R
+msgid "upper bound"
+msgstr "上限"
+
+#: mancova/results/multivar.columns.title
+msgid "value"
+msgstr "值"
+
+#: R/corrpart.b.R
+msgid "variation from the control variables is only removed from the variables in the columns"
+msgstr "仅从列变量中删除变化较大的控制变量"
+
+#: R/pca.b.R
+msgid "varimax"
+msgstr "最大方差法"
+
+#: ancova/options/emmWeights.description.ui
+#: anova/options/emmWeights.description.ui
+#: anovaRM/options/emmWeights.description.ui
+msgid "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)"
+msgstr "每个单元格平均加权。(默认情况下为根据单元格频率进行加权)"
+
+#: contTables/options/yaxisPc/column_pc.title
+msgid "within column"
+msgstr "列内"
+
+#: contTables/options/yaxisPc/row_pc.title
+msgid "within rows"
+msgstr "行内"
+
+#: contTables/options/yaxis.description.R
+msgid "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis"
+msgstr "y计数（默认）或y百分比。分别使用`计数` 或 `百分比`作为条形图的y轴"
+
+#: contTables/results/chiSq.columns.content
+msgid "z test difference in 2 proportions"
+msgstr "2比例差异的z检验"
+
+#: contTables/options/zProp.title
+msgid "z test for difference in 2 proportions"
+msgstr "z检验"
+
+#: R/conttables.b.R
+msgid "z test only available for 2x2 tables"
+msgstr "z检验仅适用于2x2四格表"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Lower"
+msgstr "{ciWidth}% CI 下限"
+
+#: R/corrmatrix.b.R
+msgid "{ciWidth}% CI Upper"
+msgstr "{ciWidth}% CI 上限"
+
+#: R/descriptives.b.R
+msgid "{ciWidth}% CI mean {title}"
+msgstr "{ciWidth}% CI 均值 {title}"
+
+#: R/ancova.b.R
+#: R/anovarm.b.R
+#: R/cfa.b.R
+#: R/descriptives.b.R
+#: R/linreg.b.R
+#: R/loglinear.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+#: R/logregord.b.R
+#: R/proptest2.b.R
+#: R/ttestis.b.R
+#: R/ttestones.b.R
+#: R/ttestps.b.R
+msgid "{ciWidth}% Confidence Interval"
+msgstr "{ciWidth}% 置信区间"
+
+#: R/conttables.b.R
+msgid "{ciWidth}% Confidence Intervals"
+msgstr "{ciWidth}% 置信区间"
+
+#: R/utils.R
+msgid "{item1} and {item2}"
+msgstr "{item1} 和 {item2}"
+
+#: R/utils.R
+msgid "{list}, and {lastItem}"
+msgstr "{list}, 和{lastItem}"
+
+#: R/utils.R
+msgid "{list}, {nextItem}"
+msgstr "{list}, {nextItem}"
+
+#: R/ttestps.b.R
+msgid "{n} pair(s) of values were tied"
+msgstr "{n} 对值是相等的"
+
+#: R/reliability.b.R
+msgid "{type} score based on the variables {vars}"
+msgstr "基于变量{vars}的{type}类型得分"
+
+#: R/reliability.b.R
+msgid "{varName} (reversed)"
+msgstr "{varName} (反向)"
+
+#: R/logregbin.b.R
+msgid "{varType} of binomial logistic regression model{modelNo}"
+msgstr "二分类Logistic回归模型{modelNo}的{varType}"
+
+#: R/linreg.b.R
+msgid "{varType} of linear regression model{modelNo}"
+msgstr "线性回归模型{modelNo}的{varType}"
+
+#: R/corrpart.b.R
+msgid "{} - Kendall's Tau B"
+msgstr "{} -Kendall's Tau B系数"
+
+#: R/corrpart.b.R
+msgid "{} - Pearson's r"
+msgstr "{} - Pearson's相关系数r"
+
+#: R/corrpart.b.R
+msgid "{} - Spearman's rho"
+msgstr "{} - Spearman's秩相关系数rho"
+
+#: ttestIS/results/ttest.columns.title
+#: ttestOneS/results/ttest.columns.title
+#: ttestPS/results/ttest.columns.title
+msgid "±%"
+msgstr "±%"
+
+#: linReg/results/modelComp.columns.title
+msgid "ΔR²"
+msgstr "ΔR²"
+
+#: anovaNP/results/table.columns.title
+msgid "ε²"
+msgstr "ε²"
+
+#: ancova/options/effectSize/eta.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/eta.title
+#: anovaRM/options/effectSize/eta.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²"
+msgstr "η²值"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>G</sub>"
+msgstr "η²<sub>G</sub>"
+
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "η²<sub>p</sub>"
+msgstr "η²<sub>p</sub>"
+
+#: ancova/results/main.columns.title
+msgid "η²p"
+msgstr "η²p"
+
+#: anovaNP/results/table.columns.title
+#: anovaRMNP/results/table.columns.title
+#: cfa/results/modelFit/test.columns.title
+#: contTables/options/chiSq.title
+#: contTables/results/chiSq.columns.content
+#: contTables/results/mh.columns.title
+#: contTablesPaired/options/chiSq.title
+#: contTablesPaired/results/test.columns.content
+#: logLinear/results/modelFit.columns.title
+#: logLinear/results/modelComp.columns.title
+#: logLinear/results/models.template/lrt.columns.title
+#: logRegBin/results/modelFit.columns.title
+#: logRegBin/results/modelComp.columns.title
+#: logRegBin/results/models.template/lrt.columns.title
+#: logRegMulti/results/modelFit.columns.title
+#: logRegMulti/results/modelComp.columns.title
+#: logRegMulti/results/models.template/lrt.columns.title
+#: logRegOrd/results/modelFit.columns.title
+#: logRegOrd/results/modelComp.columns.title
+#: logRegOrd/results/models.template/lrt.columns.title
+#: mancova/results/assump/boxM.columns.title
+#: pca/results/modelFit/fit.columns.title
+#: pca/results/assump/bartlett.columns.title
+#: propTestN/results/tests.columns.title
+msgid "χ²"
+msgstr "χ²"
+
+#: propTestN/results/tests.title
+msgid "χ² Goodness of Fit"
+msgstr "χ² 拟合优度检验"
+
+#: package/analyses/propTestN.menuSubtitle
+#: propTestN/options.menuSubtitle
+msgid "χ² Goodness of fit"
+msgstr "χ² 拟合优度检验"
+
+#: contTables/results/chiSq.title
+msgid "χ² Tests"
+msgstr "χ² 检验"
+
+#: contTables/options/chiSqCorr.title
+#: contTables/results/chiSq.columns.content
+#: contTablesPaired/options/chiSqCorr.title
+#: contTablesPaired/results/test.columns.content
+msgid "χ² continuity correction"
+msgstr "连续性校正χ²"
+
+#: cfa/options/modelTest.title
+msgid "χ² test"
+msgstr "χ² 检验"
+
+#: package/analyses/contTables.menuSubtitle
+#: contTables/options.menuSubtitle
+msgid "χ² test of association"
+msgstr "χ² 关联检验"
+
+#: ancova/options/effectSize/omega.title
+#: ancova/results/main.columns.title
+#: anova/options/effectSize/omega.title
+#: anovaRM/options/effectSize/omega.title
+#: anovaRM/results/rmTable.columns.title
+#: anovaRM/results/bsTable.columns.title
+msgid "ω²"
+msgstr "ω²"
+
+#: R/linreg.b.R
+#: R/logregbin.b.R
+#: R/logregmulti.b.R
+msgid "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD"
+msgstr "⁻ 均值 - 1个标准差, <sup>μ</sup> 均值, ⁺ 均值 + 1个标准差"
+
+#: propTest2/ui[1][0][1]/hypothesis_notequal.label
+#: ttestOneS/ui[1][0][1]/hypothesis_dt.label
+msgid "≠ Test value"
+msgstr "≠ 检测值"
diff --git a/jamovi/js/ancova.events.js b/jamovi/js/ancova.events.js
index 47c8b1d0..c1e87639 100644
--- a/jamovi/js/ancova.events.js
+++ b/jamovi/js/ancova.events.js
@@ -4,7 +4,7 @@ const events = {
         calcModelTerms(ui, this);
         filterModelTerms(ui, this);
         updatePostHocSupplier(ui, this);
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onChange_factors: function(ui) {
@@ -48,7 +48,7 @@ const events = {
     },
 
     onEvent_emMeans_listItemsChanged: function(ui) {
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     }
 };
 
@@ -63,7 +63,7 @@ let calcMarginalMeansSupplier = function(ui, context) {
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1)) );
     });
 };
 
diff --git a/jamovi/js/anova.js b/jamovi/js/anova.js
index 020fa684..cc4b0a22 100644
--- a/jamovi/js/anova.js
+++ b/jamovi/js/anova.js
@@ -6,7 +6,7 @@ module.exports = {
     view_updated: function(ui) {
         this.calcModelTerms(ui);
         this.filterModelTerms(ui);
-        this.updateModelLabels(ui.emMeans, 'Term');
+        this.updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     factors_changed: function(ui) {
@@ -42,7 +42,7 @@ module.exports = {
     },
 
     emMeans_listItemsChanged: function(ui) {
-        this.updateModelLabels(ui.emMeans, 'Term');
+        this.updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     filterModelTerms: function(ui) {
@@ -91,7 +91,7 @@ module.exports = {
 
     updateModelLabels: function(list, blockName) {
         list.applyToItems(0, (item, index) => {
-            item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+            item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1) ));
         });
     },
 
diff --git a/jamovi/js/anovarm.events.js b/jamovi/js/anovarm.events.js
index 1a9c21f4..eed3c1de 100644
--- a/jamovi/js/anovarm.events.js
+++ b/jamovi/js/anovarm.events.js
@@ -5,14 +5,15 @@ const events = {
     update: function(ui) {
         this._factorCells = null;
 
-        this.initializeValue(ui.rmTerms, [["RM Factor 1"]]);
-        this.setCustomVariable("RM Factor 1", "none", []);
+        let factor = _('RM Factor {0}').replace('{0}', 1);
+        this.initializeValue(ui.rmTerms, [[factor]]);
+        this.setCustomVariable(factor, "none", []);
 
         updateFactorCells(ui, this);
         updateModelTerms(ui, this);
         filterModelRMTerms(ui, this);
         filterModelTerms(ui, this);
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onChange_rm: function(ui) {
@@ -73,13 +74,13 @@ const events = {
     },
 
     onEvent_emMeans_listItemsChanged: function(ui) {
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     }
 };
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1) ));
     });
 };
 
diff --git a/jamovi/js/cfa.events.js b/jamovi/js/cfa.events.js
index 81cfbf1f..fff40671 100644
--- a/jamovi/js/cfa.events.js
+++ b/jamovi/js/cfa.events.js
@@ -2,12 +2,12 @@
 const events = {
 
     update: function(ui) {
-        updateModelLabels(ui);
+        updateModelLabels(ui, this);
         calcModelTerms(ui, this);
     },
 
     onEvent_test_listItemsAdded: function(ui, data) {
-        updateModelLabels(ui);
+        updateModelLabels(ui, this);
         calcModelTerms(ui, this);
         setTimeout(() => {
             data.item.controls[0].$input.focus();
@@ -15,7 +15,7 @@ const events = {
     },
 
     onEvent_test_listItemsChanged: function(ui) {
-        updateModelLabels(ui);
+        updateModelLabels(ui, this);
         calcModelTerms(ui, this);
     },
 
@@ -29,15 +29,15 @@ const events = {
     },
 
     onEvent_factorNameChange : function(ui) {
-        updateModelLabels(ui);
+        updateModelLabels(ui, this);
     }
 };
 
-const updateModelLabels = function(ui) {
+const updateModelLabels = function(ui, context) {
     let list = ui.factors.applyToItems(0, (item, index) => {
         let value = item.controls[0].value();
         if ( ! value || value.trim() === '')
-            item.controls[0].setValue("Factor " + (index + 1) );
+            item.controls[0].setValue(_('Factor {0}').replace('{0}', (index + 1)) );
     });
 };
 
diff --git a/jamovi/js/linreg.events.js b/jamovi/js/linreg.events.js
index 8b0620c7..e03d43e9 100644
--- a/jamovi/js/linreg.events.js
+++ b/jamovi/js/linreg.events.js
@@ -1,13 +1,13 @@
 const events = {
 
     update: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         calcBlocks(ui, this);
         filterBlocks(ui, this);
 
         calcModelTerms(ui, this);
         updateLevelControls(ui, this);
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onChange_covs: function(ui) {
@@ -37,14 +37,14 @@ const events = {
     },
 
     onEvent_test_listItemsChanged: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         let blocks = this.cloneArray(ui.blocks.value(), []);
         this.workspace["blocks"] = blocks;
         calcMarginalMeansSupplier(ui, this);
     },
 
     onEvent_emMeans_listItemsChanged: function(ui) {
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onUpdate_emMeansSupplier: function(ui) {
@@ -70,7 +70,7 @@ let calcMarginalMeansSupplier = function(ui, context) {
     for (let blockIndex = 0; blockIndex < blocks.length; blockIndex++)  {
         if (blocks[blockIndex]) {
             for (let term of blocks[blockIndex])
-                variableList = _.union(variableList, term);
+                variableList = [...new Set([...variableList, ...term])];
         }
     }
 
@@ -118,7 +118,7 @@ var updateContrasts = function(ui, variableList, context) {
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1)) );
     });
 };
 
diff --git a/jamovi/js/loglinear.events.js b/jamovi/js/loglinear.events.js
index 59ead967..f7f1e7ff 100644
--- a/jamovi/js/loglinear.events.js
+++ b/jamovi/js/loglinear.events.js
@@ -1,13 +1,13 @@
 const events = {
 
     update: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         calcBlocks(ui, this);
         filterBlocks(ui, this);
 
         calcModelTerms(ui, this);
         updateLevelControls(ui, this);
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onChange_factors: function(ui) {
@@ -43,13 +43,13 @@ const events = {
     },
 
     onEvent_test_listItemsChanged: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         let blocks = this.cloneArray(ui.blocks.value(), []);
         this.workspace["blocks"] = blocks;
     },
 
     onEvent_emMeans_listItemsChanged: function(ui) {
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     }
 };
 
@@ -59,7 +59,7 @@ let calcMarginalMeansSupplier = function(ui, context) {
     let variableList = [];
     for (let blockIndex = 0; blockIndex < blocks.length; blockIndex++)  {
         for (let term of blocks[blockIndex])
-            variableList = _.union(variableList, term);
+            variableList = [...new Set([...variableList, ...term])];
     }
 
     if (ui.emMeansSupplier)
@@ -104,7 +104,7 @@ var updateContrasts = function(ui, variableList, context) {
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1)) );
     });
 };
 
diff --git a/jamovi/js/logregbin.events.js b/jamovi/js/logregbin.events.js
index 938ff2a2..2f50177a 100644
--- a/jamovi/js/logregbin.events.js
+++ b/jamovi/js/logregbin.events.js
@@ -1,13 +1,13 @@
 const events = {
 
     update: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         calcBlocks(ui, this);
         filterBlocks(ui, this);
 
         calcModelTerms(ui, this);
         updateLevelControls(ui, this);
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     },
 
     onChange_covs: function(ui) {
@@ -52,13 +52,13 @@ const events = {
     },
 
     onEvent_test_listItemsChanged: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         let blocks = this.cloneArray(ui.blocks.value(), []);
         this.workspace["blocks"] = blocks;
     },
 
     onEvent_emMeans_listItemsChanged: function(ui) {
-        updateModelLabels(ui.emMeans, 'Term');
+        updateModelLabels(ui.emMeans, _('Term {0}'));
     }
 };
 
@@ -68,7 +68,7 @@ let calcMarginalMeansSupplier = function(ui, context) {
     let variableList = [];
     for (let blockIndex = 0; blockIndex < blocks.length; blockIndex++)  {
         for (let term of blocks[blockIndex])
-            variableList = _.union(variableList, term);
+            variableList = [...new Set([...variableList, ...term])];
     }
 
     if (ui.emMeansSupplier)
@@ -116,7 +116,7 @@ var updateContrasts = function(ui, variableList, context) {
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1) ));
     });
 };
 
diff --git a/jamovi/js/logregord.events.js b/jamovi/js/logregord.events.js
index 9a371ff3..82ca8fb2 100644
--- a/jamovi/js/logregord.events.js
+++ b/jamovi/js/logregord.events.js
@@ -1,7 +1,7 @@
 const events = {
 
     update: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         calcBlocks(ui, this);
         filterBlocks(ui, this);
 
@@ -35,7 +35,7 @@ const events = {
     },
 
     onEvent_test_listItemsChanged: function(ui) {
-        updateModelLabels(ui.blocks, 'Block');
+        updateModelLabels(ui.blocks, _('Block {0}'));
         let blocks = this.cloneArray(ui.blocks.value(), []);
         this.workspace["blocks"] = blocks;
     },
@@ -85,7 +85,7 @@ var updateContrasts = function(ui, variableList, context) {
 
 let updateModelLabels = function(list, blockName) {
     list.applyToItems(0, (item, index) => {
-        item.controls[0].setPropertyValue("label", blockName + " " + (index + 1) );
+        item.controls[0].setPropertyValue("label", blockName.replace('{0}', (index + 1) ));
     });
 };
 
diff --git a/jamovi/linreg.a.yaml b/jamovi/linreg.a.yaml
index c3349ea1..934ea068 100644
--- a/jamovi/linreg.a.yaml
+++ b/jamovi/linreg.a.yaml
@@ -87,6 +87,17 @@ options:
       description:
           R: the fixed factors from `data`
 
+    - name: weights
+      type: Variable
+      title: Weights (optional)
+      suggested:
+        - continuous
+      permitted:
+        - numeric
+      default:
+      description:
+          R: the (optional) weights from `data` to be used in the fitting process
+
     - name: blocks
       title: Blocks
       type: Array
diff --git a/jamovi/linreg.r.yaml b/jamovi/linreg.r.yaml
index 7aefdd82..49ec239f 100644
--- a/jamovi/linreg.r.yaml
+++ b/jamovi/linreg.r.yaml
@@ -10,6 +10,7 @@ items:
       clearWith:
         - dep
         - blocks
+        - weights
       visible: (r || r2 || r2Adj || aic || bic || rmse || modelTest)
 
       columns:
@@ -78,6 +79,7 @@ items:
       clearWith:
         - dep
         - blocks
+        - weights
 
       columns:
         - name: model1
@@ -143,6 +145,7 @@ items:
               clearWith:
                 - dep
                 - blocks
+                - weights
               columns:
                 - name: term
                   title: ""
@@ -180,6 +183,7 @@ items:
                 - ciWidth
                 - ciWidthStdEst
                 - intercept
+                - weights
 
               columns:
                 - name: term
@@ -241,6 +245,7 @@ items:
                   clearWith:
                     - dep
                     - blocks
+                    - weights
 
                   columns:
                     - name: mean
@@ -278,6 +283,7 @@ items:
                   clearWith:
                     - dep
                     - blocks
+                    - weights
 
                   columns:
                     - name: autoCor
@@ -301,6 +307,7 @@ items:
                   clearWith:
                     - dep
                     - blocks
+                    - weights
 
                   columns:
                     - name: term
@@ -324,6 +331,7 @@ items:
                   clearWith:
                     - dep
                     - blocks
+                    - weights
                   columns:
                     - name: t[sw]
                       title: ''
@@ -349,6 +357,7 @@ items:
                   clearWith:
                     - dep
                     - blocks
+                    - weights
 
                 - name: resPlots
                   title: Residuals Plots
@@ -361,6 +370,7 @@ items:
                       clearWith:
                         - dep
                         - blocks
+                        - weights
 
             - name: emm
               title: Estimated Marginal Means
@@ -372,6 +382,7 @@ items:
               clearWith:
                 - dep
                 - blocks
+                - weights
                 - emMeans
               template:
 
@@ -389,6 +400,7 @@ items:
                       clearWith:
                         - dep
                         - blocks
+                        - weights
                         - refLevels
                         - ciEmm
                         - ciWidthEmm
@@ -403,6 +415,7 @@ items:
                       clearWith:
                         - dep
                         - blocks
+                        - weights
                         - refLevels
                         - ciWidthEmm
                         - emmWeights
@@ -416,6 +429,7 @@ items:
       clearWith:
         - dep
         - blocks
+        - weights
 
     - name: residsOV
       type: Output
@@ -426,6 +440,7 @@ items:
       clearWith:
         - dep
         - blocks
+        - weights
 
     - name: cooksOV
       type: Output
@@ -436,3 +451,4 @@ items:
       clearWith:
         - dep
         - blocks
+        - weights
diff --git a/jamovi/linreg.u.yaml b/jamovi/linreg.u.yaml
index 3f8afeff..81a26182 100644
--- a/jamovi/linreg.u.yaml
+++ b/jamovi/linreg.u.yaml
@@ -33,6 +33,12 @@ children:
             isTarget: true
             events:
               change: './linreg.events::onChange_factors'
+      - type: TargetLayoutBox
+        children:
+          - type: VariablesListBox
+            name: weights
+            isTarget: true
+            maxItemCount: 1
   - type: CollapseBox
     label: Model Builder
     collapsed: true
diff --git a/jamovi/pca.r.yaml b/jamovi/pca.r.yaml
index 18251084..16fb38a2 100644
--- a/jamovi/pca.r.yaml
+++ b/jamovi/pca.r.yaml
@@ -207,4 +207,5 @@ items:
         - nFactorMethod
         - nFactors
         - rotation
+        - factorScoreMethod
 ...
diff --git a/tests/testthat/testlinreg.R b/tests/testthat/testlinreg.R
index d1caba66..0f0e5b7a 100755
--- a/tests/testthat/testlinreg.R
+++ b/tests/testthat/testlinreg.R
@@ -230,3 +230,61 @@ test_that("analysis throws error for factor with one level", {
         regexp = "needs to have at least 2 levels"
     )
 })
+
+test_that("analysis works with weights", {
+    suppressWarnings(RNGversion("3.5.0"))
+    set.seed(1337)
+
+    df <- data.frame(
+        weights = abs(rnorm(100)),
+        dep = rnorm(100),
+        cov = rnorm(100),
+        factor = factor(sample(LETTERS[1:3], 100, replace=TRUE))
+    )
+
+    refLevels = list(list(var="factor", ref="A"))
+
+    r <- jmv::linReg(
+        df,
+        dep="dep",
+        covs="cov",
+        factors="factor",
+        weights="weights",
+        blocks=list(list("cov", "factor")),
+        refLevels=refLevels,
+    )
+
+    coef <- r$models[[1]]$coef
+    coefDf <- coef$asDF
+
+    testthat::expect_equal("Weighted by 'weights'", coef$notes$weights$note)
+    testthat::expect_equal(coefDf$est[1], -0.100, tolerance = 1e-3)
+    testthat::expect_equal(coefDf$se[2], 0.089, tolerance = 1e-3)
+    testthat::expect_equal(coefDf$t[4], 1.004, tolerance = 1e-3)
+    testthat::expect_equal(coefDf$p[5], 0.247, tolerance = 1e-3)
+})
+
+test_that("analysis throws error with negative weights", {
+    suppressWarnings(RNGversion("3.5.0"))
+    set.seed(1337)
+
+    df <- data.frame(
+        weights = rnorm(100),
+        dep = rnorm(100),
+        cov = rnorm(100)
+    )
+
+    testthat::expect_error(
+        {
+            jmv::linReg(
+                df,
+                dep="dep",
+                covs="cov",
+                weights="weights",
+                blocks=list(list("cov")),
+            )
+        },
+        regexp = "Negative weights are not permitted"
+    )
+})
+