Probably, it's an obvious info, but I have not found anything in R FAQ concerning this feature/bug.
The results of ks.test and wilcoxon.test (in the Mann-Whitney version, paired = 'FALSE') don't coincide with the results from the other statistical packages, e.g. Statistica, Medcalc, and (as for MW test) from the numerous online MW tests. E.g. Statistica p-value=0.0435353 Medcalc p-value=0.0435354 R p-value=0.04635 If I want to obtain result of test once, it does not matter. But what should I do if I want to perform Monte-Carlo simulations and I need in 10000 or even 100 000 p-values and then will build some distribution and then use results of Statictica? Whtever, the descrepancy bothers. Are there some alternative packages for non-parametric statistics that produce results comparable with the other program packages? Or, probably, there is exists some environment variable to perform calculations in more common way? Thank you! Sasha. ______________________________________________ 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.
