rcompanion (version 1.10.1)

cramerV: Cramer V

Description

Calculates Cramer's V for a table of nominal variables.

Usage

cramerV(x, y = NULL, digits = 4, bias.correct = FALSE)

Arguments

x

Either a two-way table or a two-way matrix. Can also be a vector of observations for one dimension of a two-way table.

y

If x is a vector, y is the vector of observations for the second dimension of a two-way table.

digits

The number of significant digits in the output.

bias.correct

If TRUE, a bias correction is applied.

Value

A single statistic, Cramer's V.

Details

Cramer's V is used as a measure of association between two nominal variables, or as an effect size for a chi-square test of association. For a 2 x 2 table, the absolute value of the phi statistic is the same as Cramer's V.

References

http://rcompanion.org/handbook/H_10.html

Examples

# NOT RUN {
data(Anderson)
fisher.test(Anderson)
cramerV(Anderson)

# }