Due to constraints on the size of the R package, all available vignettes are only available on the website for this package:
https://indrajeetpatil.github.io/ggstatsplot/articles/
ggbetweenstats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggbetweenstats.html)
ggwithinstats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggwithinstats.html)
ggcorrmat: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggcorrmat.html)
gghistostats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/gghistostats.html)
ggdotplotstats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggdotplotstats.html)
ggpiestats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggpiestats.html)
ggscatterstats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggscatterstats.html)
ggcoefstats: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggcoefstats.html)
How to arrange multiple plots in a single plot along with annotations using the combine_plots helper function: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/combine_plots.html)
Default theme (theme_ggstatsplot) used for the package and how it can be modified: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/theme_ggstatsplot.html)
Introduction to ggstatsplot (publication describing philosophy and principles behind this package): (https://github.com/IndrajeetPatil/ggstatsplot/blob/master/paper/paper.pdf)
Interpreting effect sizes for different tests: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/effsize_interpretation.html)
Gallery of ggstatsplot examples (shows how ggstatsplot can be further modified using ggplot2 functions): (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/gallery.html)
Examples illustrating how to use functional programming package like purrr to extend ggstatsplot functionality- (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/purrr_examples.html)
Frequently Asked Questions (FAQ)- (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/faq.html)
Session information: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/session_info.html)
In addition to these vignettes, another quick way to get an overview of this package is to go through the following slides: https://indrajeetpatil.github.io/ggstatsplot_slides/slides/ggstatsplot_presentation.html#1
ggstatsplotTo make the maintenance and development of ggstatsplot more manageable, it is being broken into smaller pieces.
statsExpressionsThe statistical backend that processes data and creates expressions containing results from statistical tests is statsExpressions. For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/statsExpressions/
If you find any bugs or have any suggestions/remarks, please file an issue on GitHub: https://github.com/IndrajeetPatil/ggstatsplot/issues