p.adjust.method.description

Adjustment method for p-values for multiple
comparisons. Possible methods are: <code>"holm"</code> (default), <code>"hochberg"</code>,
<code>"hommel"</code>, <code>"bonferroni"</code>, <code>"BH"</code>, <code>"BY"</code>, <code>"fdr"</code>, <code>"none"</code>.

p.adjust.method

Preparing text to describe which p-value adjustment method was used.

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, and regression analyses.

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p.adjust.method.description: Preparing text to describe which p-value adjustment method was used.

Description

Usage

Arguments

Value