chi.sq: Simplified Chi Square

In vannstats: Simplified Statistical Procedures for Social Sciences

Simplified Chi Square

Description

This function simplifies the call for Pearson's Chi Square test (chi.sq) on a given data frame.

Usage

chi.sq(df, var1, var2, correct = FALSE, post = FALSE, cramer = FALSE)

Arguments

df	data frame to read in.
var1	the dependent/outcome variable, Y.
var2	the main independent/predictor variable, X.
correct	logical (default set to F). When set to correct = T, will employ Yates' continuity correction (for data that violate the normality assumption).
post	logical (default set to F). When set to post = T, will return results of post-hoc (Z) tests of the standardized residual for each cell (the standardized difference between observed and expected frequencies), using Bonferroni's alpha adjustment, and returns an adjusted p-value for each cell/comparison.
cramer	logical (default set to F). When set to post = T, will return results of Cramer's V, a measure of the strength of the association between the two variables.

Value

This function returns the summary results table for a Pearson's Chi Square test, examining the relationship between var1 from data frame df, and var2.

Examples

data <- mtcars

chi.sq(data,vs,am)

vannstats documentation built on April 4, 2025, 1:37 a.m.