I thought I would write my #firstpost about this. If you've done any plotting in R, you've almost certainly used ggplot2 while it offers a simple approach to making plots, they are sometimes but ggstatsplot is an extension to it. It provides a variety of statistical tests including a text rich plots for better visualizations.
The link to the github repo is ggstatsplot.
This a very useful plotting technique has statistical details, which makes data exploration simpler and faster.
a quick peek of the ggbetweenstats code:
# for reproducibility set.seed(123) library(ggstatsplot) # plot ggbetweenstats( data = iris, x = Species, y = Sepal.Length, title = "Distribution of sepal length across Iris species" )
Everything in detail is presented in the github repo for more details do visit!
Credits: Indrajeet Patil