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.
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.