ggstatsplot is an extension of ggplot2 package. It creates
graphics with details from statistical tests included in the plots
themselves. It provides an easier API to generate information-rich plots
for statistical analysis of continuous (violin plots, scatterplots,
histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar
charts) data. Currently, it supports the most common types of statistical
tests: parametric, nonparametric, robust, and Bayesian versions of
t-test/ANOVA, correlation analyses, contingency table analysis,
meta-analysis, and regression analyses.
ggstatsplot
The main functions are-
ggbetweenstats function to produce information-rich comparison plot
between different groups or conditions with ggplot2 and details from
the statistical tests in the subtitle.
ggwithinstats function to produce information-rich comparison plot
within different groups or conditions with ggplot2 and details from the
statistical tests in the subtitle.
ggscatterstats function to produce ggplot2 scatterplots along with a
marginal distribution plots from ggExtra and details from the statistical
tests in the subtitle.
ggpiestats function to produce pie chart with details from the
statistical tests in the subtitle.
ggbarstats function to produce stacked bar chart with details from the
statistical tests in the subtitle.
gghistostats function to produce histogram for a single variable with
results from one sample test displayed in the subtitle.
ggdotplotstats function to produce Cleveland-style dot plots/charts for
a single variable with labels and results from one sample test displayed in
the subtitle.
ggcorrmat function to visualize the correlation matrix.
ggcoefstats function to visualize results from regression analyses.
combine_plots helper function to combine multiple ggstatsplot plots
using patchwork::wrap_plots().
For more documentation, see the dedicated Website.
Useful links: