Hallo Christoph,
> There is always the possibility to summarize the replicates and > then calculate a common pairwise Wilcoxon test. mmmh, in this case I prefer the Friedman test, I would like not to loose any data. > The Friedman test calculates the ranks inside of the blocks, for > each block separately and is not considering all subjects > jointly. true, but it considers all the treatments together, while Wilcoxon works per pairs of treatments within the blocks. > In R implemented is the case with unreplicated blocked data, so > this doesn't help you. > > > If no such method exists in R, I am anyway intersted in possible > > references. > > Look at: > > Myles Hollander & Douglas A. Wolfe (1999), _Nonparametric > statistical methods_. New York: John Wiley & Sons. > > There you find the generalization of the replicated case, but > you have to implement it. I already implemented the Friedman test for the replicated case although taken from Conover 1999 _Practical non parametric statistics_. I hope it is the same. My interest in a Wilcoxon procedure is due to the fact that according to Hsu 1996 _Multiple comparisons_ the Friedman test is not recommended for multiple comparisons becasue it has been shown that it is not a confident method (the actual alpha value is greater). Regards, Marco ------------------------------------------------------------------- Marco Chiarandini, Fachgebiet Intellektik, Fachbereich Informatik, Technische Universit�t Darmstadt, Hochschulstra�e 10, D-64289 Darmstadt - Germany, Office: S2/02 Raum E312 Tel: +49.(0)6151.166802 Fax: +49.(0)6151.165326 email: [EMAIL PROTECTED] web page: http://www.intellektik.informatik.tu-darmstadt.de/~machud ______________________________________________ [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
