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. In a typical
exploratory data analysis workflow, data visualization and statistical
modeling are two different phases: visualization informs modeling, and
modeling in its turn can suggest a different visualization method, and so
on and so forth. The central idea of ggstatsplot is simple: combine these
two phases into one in the form of graphics with statistical details, which
makes data exploration simpler and faster. Currently, it supports only the
most common types of statistical tests (parametric, non-parametric, Bayes
Factor, and robust versions of t-test/anova, correlation, regression
analyses, contingency tables analyses, and meta-analysis).
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 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.
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_plots2 helper function to combine
multiple ggstatsplot plots using cowplot::plot_grid() with a
combination of title, caption, and annotation label.
For more documentation, see the dedicated Website.
Useful links: