Dear forum users, It's 3:35am and I am swamped with statistics homework lol I'm terrible with R and this time I have no idea what the prof wants. Here is the question:
Consider the (two-‐sample) Wilcoxon rank statistic T = Σrank(Xi). For n1=106 and n2=192, determine by simulation the α=.05 critical point for testing H0: θ=0, H1:θ<0. We can do this as follows: For m=10000 (no wimpy m=200 or 500 as in the book), draw m=10000 subsets of size 106 from the integers 1:298 using repeatedly the command xdat = sample(1:298, size=106). For each such subset, the value of the Wilcoxon is sum(xdat). Be sure to answer the following question: why is it unnecessary to calculate ranks? Any help would be greatly appreciately at this time. -- View this message in context: http://r.789695.n4.nabble.com/Wilcoxon-and-the-use-of-simulation-tp3904036p3904036.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.