cat_counter

for use with <code>formula</code>, a data frame containing all the
data

data

The variable to use as the rows in the contingency table.

The variable to use as the columns in the contingency
table. Default is <code>NULL</code>. If <code>NULL</code>, one-sample proportion test (a goodness
of fit test) will be run for the <code>x</code> variable. Otherwise an appropriate
association test will be run. This argument can not be <code>NULL</code> for
<code>ggbarstats</code> function.

Counts and percentages across grouping variables.

internal

Extension of 'ggplot2', 'ggstatsplot' creates
graphics with details from statistical tests included in the plots
themselves. It is targeted primarily at behavioral sciences community
to provide a one-line code 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 only 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.

cat_counter: Counts and percentages across grouping variables.

Description

Usage

Arguments

Examples