jgsbook (version 1.0.6)

pairwise.chisq.test: 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")

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.

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().

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")