p_adjust_text

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

Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The functions
are pipe-friendly and provide a consistent syntax to work with tidy
data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Indrajeet Patil

statsExpressions

Tidy Dataframes and Expressions with Statistical Details

p_adjust_text function

<dl><dt>p.adjust.method</dt>
<dd>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>.</dd></dl>

Arguments

p-value adjustment method text — p_adjust_text

<dl>

<dt>p.adjust.method</dt>
<dd>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>.</dd>

</dl>

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p_adjust_text: p-value adjustment method text

Description

Usage

Value

Arguments

Examples