cramer_v: Compute Cramer's V

In spicy: Descriptive Statistics and Data Management Tools

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 based on the chi-squared statistic and adjusts for the size of the table. 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 June 8, 2025, 11:06 a.m.