cramer_v | R Documentation |
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 # Compute cramer's V cramer_v(df)
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