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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.
x
y
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)) # }
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