Cramer's V — weighted.cramer • descriptio

Computes Cramer's V measure of association between two (possibly weighted) categorical variables

weighted.cramer(x, y, weights = NULL, na.rm = FALSE)

Arguments

x: the first categorical variable
y: the second categorical variable
weights: numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.
na.rm: logical, indicating whether NA values should be silently removed before the computation proceeds.

Value

Numerical value with Cramer's V.

References

Rakotomalala R., 'Comprendre la taille d'effet (effect size)', http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf

Author

Nicolas Robette

See also

Examples

data(Movies)
weighted.cramer(Movies$Country, Movies$ArtHouse)
#> [1] 0.4691762