cramer_v.Rd
Compute Cramer's V, which measures the strength of the association between categorical variables.
cramer_v(x, y = NULL, correct = TRUE, ...)
x  a numeric vector or matrix. 

y  a numeric vector; ignored if 
correct  a logical indicating whether to apply continuity
correction when computing the test statistic for 2 by 2 tables: one
half is subtracted from all \(O  E\) differences; however, the
correction will not be bigger than the differences themselves. No correction
is done if 
...  other arguments passed to the function

# Data preparation df < as.table(rbind(c(762, 327, 468), c(484, 239, 477))) dimnames(df) < list( gender = c("F", "M"), party = c("Democrat","Independent", "Republican") ) df#> party #> gender Democrat Independent Republican #> F 762 327 468 #> M 484 239 477# Compute cramer's V cramer_v(df)#> [1] 0.1044358