ggstatsplot: 'ggplot2' Based Plots with Statistical Details
{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.
package
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 {ggside} package 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().
References: Patil (2021) tools:::Rd_expr_doi("10.21105/joss.03236") .
For more documentation, see the dedicated Website.
Useful links:
Maintainer : Indrajeet Patil patilindrajeet.science@gmail.com (ORCID) [copyright holder]
Other contributors:
Useful links