Computes the Cram<e9>r's association coefficient between 2 nominal variables.
cramer(x, y)
a contingency table ('matrix' or 'table' object). x
and y
can also both be factors.
ignored if x
is a contingency table. If not, y
should be a vector of the same length.
# NOT RUN {
var1 <- sample(LETTERS[1:3],30,replace=TRUE)
var2 <- sample(letters[1:3],30,replace=TRUE)
cramer(var1,var2)
# or cramer(table(var1,var2))
# }
Run the code above in your browser using DataLab