pairwise_chisq_test: A pairwise Chi-squared test

In edsandorf/cmdlR: Choice Modeling in R

A pairwise Chi-squared test

Description

A pairwhise non-parametric chi-squared test for difference between grouped categorical variables.

Usage

pairwise_chisq_test(x, g, p.adjust.method = stats::p.adjust.methods, ...)

Arguments

x	A response vector
g	A grouping vector. If not a factor it will be converted to one.
p.adjust.method	A character string specifying the method for multiple testing adjustments. See p.adjust.methods
...	Additional arguments passed to chisq.test

Source

Modified from here: https://stats.stackexchange.com/questions/85664/r-procedure-for-comparing-multiple-categorical-variables-similar-to-anova-fol

Examples

group <- rep(LETTERS[1:3], 10)
sex <- rep(c('Male', 'Female'), 15)

pairwise_chisq_test(sex, group, p.adjust.method = "none")

edsandorf/cmdlR documentation built on Jan. 17, 2024, 12:33 a.m.