cramersv | R Documentation |
This function calculates Cramer's V, a measure of association between two categorical variables.
cramersv(x)
x |
The result of |
Cramer's V is a scaled version of the chi-squared test statistic \chi^2
and
takes values in [0, 1]
. It is calculated as
\sqrt{\chi^2 / (n \cdot (k - 1))}
, where n
is the number of observations,
and k
is the smaller of the number of levels of the two variables.
Yates continuity correction is never applied. So in the 2x2 case, if x
is the
result of stats::chisq.test()
, make sure no continuity correction was applied.
Otherwise, results can be inconsistent.
A numeric vector of length one.
Cramer, Harald. 1946. Mathematical Methods of Statistics. Princeton: Princeton University Press, page 282 (Chapter 21. The two-dimensional case).
ci_cramersv()
cramersv(mtcars[c("am", "vs")])
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