Dear Michael, thank you very much for your help. I perfomed the wilcox.exact function on each of the 8 items for the two groups that I am analysing (that is, I performed 8 times the wilcox test). Here an example for the values (ratings from a questionnaire) of one of the 8 items:
a1=5 9 10 10 10 10 10 10 10 10 b1=7 5 10 NaN 10 10 8 10 10 8 9 9 wilcox.exact(a1,b1, alternative="two.sided", mu=0, paired=FALSE, exact=TRUE, conf.level=0.95) I obtained: data: a1 and b1 W = 73.5, p-value = 0.1514 alternative hypothesis: true mu is not equal to 0 Then I adjusted p-values using p.adjust. For the example above the p-bonferroni value was 1. The threshold p-value is 0.00625 (that is 0.05/8) Finally, because p-bonferroni > 0.00625 can I conclude that for each item my samples are from the same distribution? I am a little bit confused.... thank you! netrunner -- View this message in context: http://n4.nabble.com/exact-wilcox-test-and-Bonferroni-correction-tp1099893p1100077.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.