pairwise.chisq.test: Pairwise Chi-Square Tests

In jgsbook: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann

Pairwise Chi-Square Tests

Description

This function performs pairwise Chi-Square tests for two factors.

Usage

pairwise.chisq.test(A, B, p.adjust.method = "bonferroni")

Arguments

A	A factor with two or moew levels. The first variable.
B	A factor with two or more levels. The second variable.
p.adjust.method	A string specifying the method for adjusting p-values. Default is "bonferroni".

Details

This function creates all possible pairs of levels of factor B and performs a Chi-Square test for each pair of B on variable A. The p-values are adjusted according to the specified method. #' This function is created for educational purposes only. For exact p-values, consider using reporttools::pairwise.fisher.test().

Value

A data frame with the results of the pairwise Chi-Square tests. Includes the groups, Chi-Square statistic, degrees of freedom, p-values, adjusted p-values, and significance stars.

Examples

set.seed(123)
A <- factor(sample(c("Male", "Female"), 100, replace = TRUE))
B <- factor(sample(c("Location1", "Location2", "Location3"), 100, replace = TRUE))
pairwise.chisq.test(A, B, "holm")

jgsbook documentation built on June 24, 2024, 5:06 p.m.