mean_labeller

A dataframe from which variables specified are preferentially to
be taken.

data

The grouping variable from the dataframe <code>data</code>.

The response (a.k.a. outcome or dependent) variable from the
dataframe <code>data</code>.

Logical that decides whether 95
is to be displayed (Default: <code>FALSE</code>).

mean.ci

Number of digits after decimal point (should be an integer)
(Default: <code>k = 2</code>).

Create a dataframe with mean per group and a formatted label for
display in <code>ggbetweenstats</code> plot.

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) or
categorical (pie 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,
and regression analyses.

mean_labeller: Create a dataframe with mean per group and a formatted label for display in `ggbetweenstats` plot.

Description

Usage

Arguments