adjust_pvalue: Adjust P-values for Multiple Comparisons

In kassambara/rstatix: Pipe-Friendly Framework for Basic Statistical Tests

Adjust P-values for Multiple Comparisons

Description

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

Usage

adjust_pvalue(data, p.col = NULL, output.col = NULL, method = "holm")

Arguments

data	a data frame containing a p-value column
p.col	column name containing p-values
output.col	the output column name to hold the adjusted p-values
method	method for adjusting p values (see p.adjust). 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".

Value

a data frame

Examples

# Perform pairwise comparisons and adjust p-values
ToothGrowth %>%
 t_test(len ~ dose) %>%
 adjust_pvalue()

kassambara/rstatix documentation built on Feb. 6, 2023, 3:36 a.m.