On Nov 25, 2012, at 4:55 AM, sm2284 wrote:
Dear R-ers,
I am currently running some Wilcoxon tests in R-64.
How do I find the degrees of freedom in the output I am receiving?
wilcox.test(good$TRUE, good$x4a, paired=FALSE)
Wilcoxon rank sum test with continuity correction
data: good$TRUE and good$x4a
W = 2455, p-value < 2.2e-16
alternative hypothesis: true location shift is not equal to 0
When using wilcox.test with two samples, the function passes some
version of the Rank-Sum statistic W to the pwilcox function followed
by the lengths of the two vectors. So I suppose you could say the
sample sizes are the "degrees of freedom". Reasoning informally I
would think the smaller of those lengths would be the most important
in determining stability of the inference.
BTW, methinks it a very questionable practice to name a column 'TRUE'.
--
David Winsemius, MD
Alameda, CA, USA
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