cramer function

Calculate Cramer's V for categorical variables

Function calculates Cramer's V for two categorical variables based on the table function

cramer(x, y, use = c("na.or.complete", "complete.obs", "everything",
  "all.obs"), unbiased = TRUE)

Arguments

• x: First categorical variable.
• y: Second categorical variable.
• use: What observations to use. See cor function for details. The only option that is not available here is "pairwise.complete.obs".
• unbiased: Determines whether to calculate the biased version of Cramer's V or the one with the small sample correction.

Returns

The following list of values is returned:

• value - The value of Cramer's V;
• statistic - The value of Chi squared statistic associated with the Cramer's V;
• p.value - The p-value of Chi squared test associated with the Cramer's V;
• df - The number of degrees of freedom from the test.

Details

The function calculates Cramer's V and also returns the associated statistics from Chi-Squared test with the null hypothesis of independence of the two variables.

See details in the vignette "Marketing analytics with greybox": vignette("maUsingGreybox","greybox")

Examples

cramer(mtcars$am, mtcars$gear)

References

Wicher Bergsma (2013), A bias-correction for Cramér's V and Tschuprow's T. Journal of the Korean Statistical Society, 42, pp. 323-328. tools:::Rd_expr_doi("10.1016/j.jkss.2012.10.002") .

See Also

table, tableplot, spread, mcor, association

Author(s)

Ivan Svetunkov, ivan@svetunkov.com