Due to size constraints, most vignettes are only available on the
website for this package. The articles index lists all of them,
including articles for each primary function (and its
grouped_ variant), frequently asked questions, pairwise
comparisons, interpretation of Bayes factors, and the design principles
guiding the package:
https://www.indrapatil.com/ggstatsplot/articles/
A journal article describing the philosophy and principles behind this package: https://joss.theoj.org/papers/10.21105/joss.03167
Another quick way to get an overview of this package is to go through the following slides: https://www.indrapatil.com/intro-to-ggstatsplot/
{ggstatsplot}The {statsExpressions} package forms the statistical
backend that processes data and creates data frames and expressions
containing results from statistical tests.
For more exhaustive documentation for this package, including a summary of all supported statistical tests and effect sizes, see: https://www.indrapatil.com/statsExpressions/
If you find any bugs or have any suggestions/remarks, please file an
issue on GitHub: https://github.com/IndrajeetPatil/ggstatsplot/issues