cramer_v: Compute Cramer's V
In spicy: Descriptive Statistics and Data Management Tools

cramer_v

R Documentation

Compute Cramer's V

Description

cramer_v() computes Cramer's V for a two-way frequency table, measuring the strength of association between two categorical variables.

Usage

cramer_v(x)

Arguments

`x`	A contingency table (of class `table`) for which to compute the statistic.

Details

Cramer's V is computed as V = \sqrt{\chi^2 / (n \cdot (k - 1))}, where \chi^2 is the Pearson chi-squared statistic, n is the total number of observations, and k = \min(r, c) with r and c the number of rows and columns. It is suitable for nominal (unordered categorical) variables.

Value

A numeric vector of length 1, representing the Cramer's V statistic.

Examples

# Example with mtcars dataset
data(mtcars)

# Discretize continuous variables
mtcars$gear <- as.factor(mtcars$gear)
mtcars$cyl <- as.factor(mtcars$cyl)

# Create contingency table
tab <- table(mtcars$gear, mtcars$cyl)

# Compute Cramer's V
cramer_v(tab)

spicy documentation built on March 14, 2026, 5:06 p.m.