Dear All, I am using wilcox.test to test two samples, data_a and data_b, earch sample has 3 replicates, suppose data_a and data_b are 20*3 matrix. Then I used the following to test the null hypothesis (they are from same distribution.):
wilcox.test(x=data_a, y=data_b, alternative="g") I got pvalue = 1.90806170863311e-09. When I switched data_a and data_b by doing the following: wilcox.test(x=data_b, y=data_a, alternative="g") I got pvalue = 0.999999998111886. I suppose because I am test them with same null hypothesis, I should get same result (pvalue). Since I am not a savy statistician at all, maybe that is a wrong assumption, could anyone please point out the right interpretion please? Thanks! Best, Baoqiang ______________________________________________ [email protected] 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.
