From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>

Date: Mon 16 May 2005 - 15:52:33 EST

Date: Mon 16 May 2005 - 15:52:33 EST

On Mon, 16 May 2005, Jim BRINDLE wrote:

> Hello,

*>
**> I am hoping someone could shed some light into the Wilcoxon Rank Sum Test
**> for me? In looking through Stats references, the Mann-Whitney U-test and
**> the Wilcoxon Rank Sum Test are statistically equivalent.
*

Yes, but not numerically: they differ by a constant (in the data, a function of the data size).

> When using the

*> following dataset:
**>
**> m <- c(2.0863,2.1340,2.1008,1.9565,2.0413,NA,NA)
**> f <- c(1.8938,1.9709,1.8613,2.0836,1.9485,2.0630,1.9143)
**>
**> and the wilcox.test command as below:
**>
**> wilcox.test(m,f, paired = FALSE, alternative = c("two.sided"))
**>
**> I get a test statistic (W) of 30. When I perform this test by hand
**> utilizing the methodology laid out in Ch. 6 of Ott & Longnecker I get a
**> value of 45. Any insight or good reference(s) as to the algorithm R is
**> using or this issue in general would be most appreciated.
*

I don't know that book but the R help page does have references. Also, ?pwilcox says

This distribution is obtained as follows. Let 'x' and 'y' be two random, independent samples of size 'm' and 'n'. Then the Wilcoxon rank sum statistic is the number of all pairs '(x[i], y[j])' for which 'y[j]' is not greater than 'x[i]'. This statistic takes values between '0' and 'm * n', and its mean and variance are 'm * n / 2' and 'm * n * (m + n + 1) / 12', respectively.

Your samples have length 5 (after removing NAs) and 7 and no ties. The R code is readable by

*> getAnywhere("wilcox.test.default")
*

as essentially

r <- rank(c(x,y)) sum(r[seq(along = x)]) - n.x * (n.x + 1)/2

I guess your reference just uses the first term.

Another way of looking at this is whether ranks start at 0 or at 1 (as in rank()): R's definition is the rank sum with 0-based ranks.

-- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.htmlReceived on Mon May 16 15:59:09 2005

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