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)
Publication describing philosophy and principles behind this package: (https://joss.theoj.org/papers/10.21105/joss.03167)
Frequently Asked Questions (FAQ)- (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/faq.html)
Interpreting effect sizes for different tests: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/effsize_interpretation.html)
Graphic design and statistical reporting principles guiding ggstatsplot development: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/principles.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)
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. Currently, the package internally relies on the following packages that manage different aspects of statistical analyses:
statsExpressionsThe statsExpressions package forms the statistical backend that processes data and creates dataframes and expressions containing results from statistical tests.
For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/statsExpressions/
pairwiseComparisonsThe pairwiseComparisons package forms the pairwise comparison backend for creating results that are used to display post hoc multiple comparisons displayed in ggbetweenstats and ggwithinstats functions.
For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/pairwiseComparisons/
Few other people have also written about ggstatsplot and its usage in their workflows: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/other_resources.html)
If you find any bugs or have any suggestions/remarks, please file an issue on GitHub: https://github.com/IndrajeetPatil/ggstatsplot/issues