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trend_translate <- data.frame (trendeng = c(" unknown" , " uncertain" , " decreasing" ,
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" increasing" , " stable" ,
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" deteriorating" , " improving" ),
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- trendnl = c(" onbekend" , " onzeker" , " \U 2198 " , " \U 2197 " , " =" ,
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+ trendnl = c(" onbekend" , " onzeker" , " $ \\ searrow$ " , " $ \\ nearrow$ " , " =" ,
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" verslechterend" , " verbeterend" ),
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trendlegende = c(" onbekend" , " onzeker" , " afname" ,
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" toename" , " stabiel" ,
@@ -13,7 +13,7 @@ expected_trend_translate <- data.frame(trendeng = c("very positive", "positive",
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" stabiel" , " negatief" ,
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" heel negatief" , " onbekend" ))
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kleurenpallet <- data.frame (
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- waarde = c(" onbekend" , " onzeker" , " \U 2198 " , " afname" , " \U 2197 " , " toename" ,
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+ waarde = c(" onbekend" , " onzeker" , " $ \\ searrow$ " , " afname" , " $ \\ nearrow$ " , " toename" ,
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" =" , " stabiel" , " U2 zeer ongunstig" , " U1 matig ongunstig" ,
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" FV gunstig" , " goed" , " slecht" , " matig" , " verslechterend" ,
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" verbeterend" ),
@@ -36,17 +36,18 @@ toekomst_translate <- data.frame(
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INBOtheme :: traffic_palette(9 )[8 ]))
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frr_translate <- data.frame (
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- symbool = c(" ≈" , " < " , " << " , " <<<" ),
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+ symbool = c(" ≈" , " $<$ " , " $<<$ " , " $ <<<$ " ),
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frr_eng = c(" Approximately equal to the favourable reference range (less than 2% smaller)" ,
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" Between 2% and 10% smaller than the FRR" ,
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" Between 11% and 50% smaller than the FRR" ,
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" Between 51% and 100% smaller than the FRR" ),
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frr_areaal = c(" actueel areaal ongeveer gelijk aan FRR (minder dan 2\\ % kleiner)" ,
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" actueel areaal tussen 2\\ % en 10\\ % kleiner dan FRR" ,# dubbele \ om latex problemen te voorkomen
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" actueel areaal tussen 11\\ % en 50\\ % kleiner dan FRR" ,
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- " actueel areaal tussen 51\\ % en 100\\ % kleiner dan FRR" ))
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+ " actueel areaal tussen 51\\ % en 100\\ % kleiner dan FRR" ),
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+ order = 1 : 4 )
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fra_translate <- data.frame (
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- symbool = c(" ≈" , " < " , " << " , " <<<" , " <<<<" ),
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+ symbool = c(" ≈" , " $<$ " , " $<<$ " , " $ <<<$ " , " $ <<<<$ " ),
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fra_eng = c(" Approximately equal to the favourable reference area (less than 2% smaller)" ,
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" Between 2% and 10% smaller than the FRA" ,
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" Between 11% and 25% smaller than the FRA" ,
@@ -56,7 +57,8 @@ fra_translate <- data.frame(
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" actuele oppervl. tussen 2\\ % en 10\\ % kleiner dan FRA" ,# dubbele \ om latex problemen te voorkomen
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" actuele oppervl. tussen 11\\ % en 25\\ % kleiner dan FRA" ,
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" actuele oppervl. tussen 26\\ % en 50\\ % kleiner dan FRA" ,
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- " actuele oppervl. tussen 51\\ % en 100\\ % kleiner dan FRA" ))
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+ " actuele oppervl. tussen 51\\ % en 100\\ % kleiner dan FRA" ),
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+ order = 1 : 5 )
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# pressures & threats categories uit https://docs.google.com/spreadsheets/d/1InQHG_ZJUqSVjSA1VyyJd9qlQGtF5Kui/edit#gid=1546634614
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@@ -82,22 +84,29 @@ legende_caption <- function(trend = NA, FRR_areaal = NA, FRA_area = NA){
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trendlegende <- NA
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frrlegende <- NA
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fralegende <- NA
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- if (! is.null(trend )) {
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- d <- data.frame (trendeng = trend ) %> % distinct() %> %# input = wat er in de fiches staat
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- filter(! (trendeng %in% c(" unknown" , " uncertain" ))) %> %
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+ if (any(! is.na(trend ))) {
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+ d <- data.frame (trendeng = trend ) %> %
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+ distinct() %> %# input = wat er in de fiches staat
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+ filter(! is.na(trendeng ) &
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+ ! (trendeng %in% c(" unknown" , " uncertain" ))) %> %
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left_join(trend_translate )
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trendlegende <- str_c(d $ trendnl , d $ trendlegende , sep = " " , collapse = " , " )
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trendlegende <- str_c(" trend: " , trendlegende )
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}
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- if (! is.null(FRR_areaal )) {
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- d <- data.frame (frr_eng = FRR_areaal ) %> % distinct() %> %# input = wat er in de fiches staat
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+ if (any(! is.na(FRR_areaal ))) {
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+ d <- data.frame (frr_eng = FRR_areaal ) %> %
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+ filter(! is.na(frr_eng )) %> %
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+ distinct() %> %# input = wat er in de fiches staat
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left_join(frr_translate )
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frrlegende <- str_c(d $ symbool , d $ frr_areaal , sep = " " , collapse = " , " )
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frrlegende <- str_c(" FRR: " , frrlegende )
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}
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- if (! is.null(FRA_area )) {
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- d <- data.frame (fra_eng = FRA_area ) %> % distinct() %> %# input = wat er in de fiches staat
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- left_join(fra_translate )
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+ if (any(! is.na(FRA_area ))) {
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+ d <- data.frame (fra_eng = FRA_area ) %> %
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+ filter(! is.na(fra_eng )) %> %
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+ distinct() %> %# input = wat er in de fiches staat
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+ left_join(fra_translate ) %> %
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+ arrange(order )
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fralegende <- str_c(d $ symbool , d $ fra_area , sep = " " , collapse = " , " )
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fralegende <- str_c(" FRA: " , fralegende )
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}
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