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: