rcompanion (version 2.0.3)

cramerV: Cramer's V (phi)

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.

...

Additional arguments passed to chisq.test.

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

See Also

cohenW

Examples

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

### Example with two vectors
Species = c(rep("Species1", 16), rep("Species2", 16))
Color   = c(rep(c("blue", "blue", "blue", "green"),4),
            rep(c("green", "green", "green", "blue"),4))
fisher.test(Species, Color)
cramerV(Species, Color)

# }