adjust_pvalue

A pipe-friendly function to add an adjusted p-value column into
 a data frame. Supports grouped data.

Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy,
for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses.
The output of each test is automatically transformed into a tidy data frame to facilitate visualization.
Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix.
Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs
(repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs.
It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and
'Cramer V' for the association between categorical variables.
The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.

Alboukadel Kassambara

rstatix

Pipe-Friendly Framework for Basic Statistical Tests

adjust_pvalue function

<dl><dt>data</dt>
<dd>a data frame containing a p-value column</dd>
<dt>p.col</dt>
<dd>column name containing p-values</dd>
<dt>output.col</dt>
<dd>the output column name to hold the adjusted p-values</dd>
<dt>method</dt>
<dd>method for adjusting p values (see
<code><a href="/link/p.adjust?package=rstatix&version=0.7.2" data-mini-rdoc="rstatix::p.adjust">p.adjust</a></code>). Allowed values include "holm", "hochberg",
"hommel", "bonferroni", "BH", "BY", "fdr", "none". If you don't want to
adjust the p value (not recommended), use p.adjust.method = "none".</dd></dl>

Arguments

Adjust P-values for Multiple Comparisons — adjust_pvalue

<dl>

<dt>data</dt>
<dd>a data frame containing a p-value column</dd>


<dt>p.col</dt>
<dd>column name containing p-values</dd>


<dt>output.col</dt>
<dd>the output column name to hold the adjusted p-values</dd>


<dt>method</dt>
<dd>method for adjusting p values (see
<code><a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust</a></code>). Allowed values include "holm", "hochberg",
"hommel", "bonferroni", "BH", "BY", "fdr", "none". If you don't want to
adjust the p value (not recommended), use p.adjust.method = "none".</dd>

</dl>

adjust_pvalue: Adjust P-values for Multiple Comparisons

Description

Usage

Value

Arguments

Examples