ggstatsplot is an extension of ggplot2 package for creating graphics with details from statistical tests included in the plots themselves and targeted primarily at behavioral sciences community to provide a one-line code to produce information-rich plots. Currently, it supports only the most common types of statistical tests (parametric, nonparametric, and robust versions of t-test/anova, correlation, and contingency tables 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.
ggscatterstats function to produce ggplot2
scatterplots along with a marginal histograms/boxplots/density 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.
gghistostats function to produce histogram for a
single variable with results from one sample test displayed in the subtitle.
ggcorrmat function to visualize
correlation matrix.
combine_plots helper
function to combine multiple ggstatsplot plots using
cowplot::plot_grid() with a combination of title, caption, and annotation
label.
ggcoefstats function to visualize
results from regression analyses.
theme_ggstatsplot default theme used for this
package.
specify_decimal_p helper function
to format results for pretty printing.
For more documentation, see the dedicated Website.
Useful links: