`R/ggstatsplot-package.R`

`ggstatsplot-package.Rd`

`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.