ggstatsplot-package {ggstatsplot} | R Documentation |
ggstatsplot: 'ggplot2' Based Plots with Statistical Details
Description
{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.
Details
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 usingpatchwork::wrap_plots()
.
References: Patil (2021) doi:10.21105/joss.03236.
For more documentation, see the dedicated Website.
Author(s)
Maintainer: Indrajeet Patil patilindrajeet.science@gmail.com (ORCID) (@patilindrajeets) [copyright holder]
Other contributors:
Chuck Powell ibecav@gmail.com (ORCID) [contributor]
See Also
Useful links:
Report bugs at https://github.com/IndrajeetPatil/ggstatsplot/issues