Hi, I have two set of data in excel: A column( 16.38, -31, -16.77, 127, -57, 23.44 and so on) B column ( -12, -59.23, -44, 34.23, 55.5, -12.12 and so on)
I run the wilcox test as : wilcox.test(A , B, data = mydata, paired = FALSE) I got always the p value very high, like 0.60 Even I make changes in the data, it gives me 0.7, 0.4 etc which is too high than 0.05 and can not thus reject the null hypothesis. What could be the problem as I know there is difference in the data? Regards [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.