A minimalistic, fast, pipe-friendly, robust, and opinionated statistical summary table generator.
sumtab is a flexible R package designed to generate customizable summary tables for peer-reviewed scientific articles, offering various options for parametric/non-parametric statistical tests, descriptive statistics, and multivariate analysis.
- Supports parametric (e.g., t-test) and non-parametric (e.g., Wilcoxon test) statistical tests.
- Automatically selects the appropriate test based on the data's characteristics.
- Pipe-friendly design for easy integration with
%>%. - Option for grouping data and displaying multivariate analysis.
- Customizable formatting options for generating publication-ready tables.
You can install the package directly from GitHub using devtools:
# Install devtools if you haven't already
install.packages("devtools")
# Install sumtab from GitHub
devtools::install_github("advafaeian/sumtab")Here’s a basic example of how to use the package:
library(sumtab)
# Summarize your data
sumtab(data = my_data)
# Or using the pipe-friendly syntax:
my_data %>% sumtab()
my_data %>% sumtab(by = "my_group", reporting_type = "parametric", analysis = TRUE)