>From previous posting: "This is my function:
wilcox.test(A,B, data = data, paired = FALSE) It gives me high p value, though the median of A column is 6900 and B column is 3500. Why it gives p value high if there is a difference in the median?" Let's examine your choice to use the Wilcoxon test with paired = FALSE. If both A and B are given and paired is FALSE, a Wilcoxon rank sum test (equivalent to the Mann-Whitney test) is carried out. In this case, the null hypothesis is that the distributions of x and y differ by a location shift of mu and the alternative is that they differ by some other location shift (and the one-sided alternative "greater" is that A is shifted to the right of B). You observed that the medians are different. While the medians may be different, the test is dependent on ranks not medians. HTH, Thomas Subia ______________________________________________ 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.
