[R] effect sizes for Wilcoxon tests
claus.atzenbeck at freenet.de
Wed Nov 16 10:34:11 CET 2005
On Tue, 15 Nov 2005, Thomas Lumley wrote:
> I think you have misinterpreted the direction of Peter's scepticism.
> The question is whether an effect size defined this way means anything
> useful. For example, even if your data are Normally distributed with
> equal variance this definition will not agree with the definition
> based on the mean. This is only the start of the potential problems,
> especially if the distributions do not have the same shape.
I see the point. The book that I use (it is a kind of practical guide)
calculates the effect sizes of Mann-Whitney tests and compares it to
Cohen's benchmarks (small effect: r=.10 -- medium effect: r=.30 -- large
effect: r=.50). This was also my plan. However, as far as I understand
you and Peter, the formula is not appropriate for comparison with
> > However, how do I get Z from a Wilcoxon test in R?
> wtest <- wilcox.test(y~group,data=d, alternative="greater")
Thanks, also to Peter.
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