cramersV
Cramer's V
Calculate the Cramer's V measure of association
Usage
cramersV(...)
Arguments
- ...
- Arguments to be passed to the
chisq.test
function.
Details
Calculates the Cramer's V measure of effect size for chi-square tests of association and goodness of fit. The arguments to the cramersV
function are all passed straight to the chisq.test
function, and should have the same format.
Value
Warning
This package is under development, and has been released only due to teaching constraints. Until this notice disappears from the help files, you should assume that everything in the package is subject to change. Backwards compatibility is NOT guaranteed. Functions may be deleted in future versions and new syntax may be inconsistent with earlier versions. For the moment at least, this package should be treated with extreme caution.
See Also
chisq.test
, assocstats
(in the vcd package)
Examples
library(lsr)
# participants. Each participant chooses between one of three
# options. Possible data for this experiment:
condition1 <- c(30, 20, 50)
condition2 <- c(35, 30, 35)
X <- cbind( condition1, condition2 )
rownames(X) <- c( 'choice1', 'choice2', 'choice3' )
print(X)
# To test the null hypothesis that the distribution of choices
# is identical in the two conditions, we would run a chi-square
# test:
chisq.test(X)
# To estimate the effect size we can use Cramer's V:
cramersV( X ) # returns a value of 0.159