I get these BIZARRE results from wilcox.test() When INCREASING the number of samples i get INCREASED p-values. When increasing the number of samples further, the p-values goes down again. This seems really bizarre!
Can anyone explain why this is so?! Example: > w <- wilcox.test(c(1:40),(c(1:40)+100)) > w$p.value [1] 1.860340e-23 > w <- wilcox.test(c(1:50),(c(1:50)+100)) > w$p.value [1] 7.066072e-18 > w <- wilcox.test(c(1:60),(c(1:60)+100)) > w$p.value [1] 3.556571e-21 > w <- wilcox.test(c(1:70),(c(1:70)+100)) > w$p.value [1] 1.817156e-24 Best regards, genecleaner (R version 2.11.1 (2010-05-31), Win7) -- View this message in context: http://r.789695.n4.nabble.com/BIZARRE-results-from-wilcox-test-tp3597818p3597818.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
