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. 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. Thanks.... ______________________________________________ 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.html