Re: [R] Two factor (or more) non-parametric comparison of means
?kruskal.test 2005/10/11, John Sorkin [EMAIL PROTECTED]: Can anyone suggest a good non-parametric test, and an R implementation of the test, that allows for two or more factors? Wilcoxon signed rank allows for only one. Thanks, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics Baltimore VA Medical Center GRECC and University of Maryland School of Medicine Claude Pepper OAIC University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 410-605-7119 -- NOTE NEW EMAIL ADDRESS: [EMAIL PROTECTED] [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Johan Sandblom N8, MRC, Karolinska sjh t +46851776108 17176 Stockholm m +46735521477 Sweden What is wanted is not the will to believe, but the will to find out, which is the exact opposite - Bertrand Russell __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Two factor (or more) non-parametric comparison of means
I suspect that John may be looking for ?friedman.test, which I believe will allow for a two-way non-parametric test. kruskal.test() will perform a non-parametric test on two or more samples (or factor levels) as a generalization of wilcox.test() for one or two samples (or factor levels). HTH, Marc Schwartz On Tue, 2005-10-11 at 18:22 +0200, Johan Sandblom wrote: ?kruskal.test 2005/10/11, John Sorkin [EMAIL PROTECTED]: Can anyone suggest a good non-parametric test, and an R implementation of the test, that allows for two or more factors? Wilcoxon signed rank allows for only one. Thanks, John __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Two factor (or more) non-parametric comparison of means
Marc Schwartz (via MN) [EMAIL PROTECTED] writes: I suspect that John may be looking for ?friedman.test, which I believe will allow for a two-way non-parametric test. You could be right, but you could also be wrong... It depends quite a bit on what is meant by a two-factor comparison of means. If he literally means means (!), then a permutation test (permuting within levels of the other factor) could be appropriate. It also makes a difference whether there's a single replication or more per cell in the cross-classification. kruskal.test() will perform a non-parametric test on two or more samples (or factor levels) as a generalization of wilcox.test() for one or two samples (or factor levels). HTH, Marc Schwartz On Tue, 2005-10-11 at 18:22 +0200, Johan Sandblom wrote: ?kruskal.test 2005/10/11, John Sorkin [EMAIL PROTECTED]: Can anyone suggest a good non-parametric test, and an R implementation of the test, that allows for two or more factors? Wilcoxon signed rank allows for only one. Thanks, John __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- O__ Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Two factor (or more) non-parametric comparison of means
Peter, Good points all around. Hopefully John will provide further clarification. Best regards, Marc On Tue, 2005-10-11 at 19:46 +0200, Peter Dalgaard wrote: Marc Schwartz (via MN) [EMAIL PROTECTED] writes: I suspect that John may be looking for ?friedman.test, which I believe will allow for a two-way non-parametric test. You could be right, but you could also be wrong... It depends quite a bit on what is meant by a two-factor comparison of means. If he literally means means (!), then a permutation test (permuting within levels of the other factor) could be appropriate. It also makes a difference whether there's a single replication or more per cell in the cross-classification. kruskal.test() will perform a non-parametric test on two or more samples (or factor levels) as a generalization of wilcox.test() for one or two samples (or factor levels). HTH, Marc Schwartz On Tue, 2005-10-11 at 18:22 +0200, Johan Sandblom wrote: ?kruskal.test 2005/10/11, John Sorkin [EMAIL PROTECTED]: Can anyone suggest a good non-parametric test, and an R implementation of the test, that allows for two or more factors? Wilcoxon signed rank allows for only one. Thanks, John __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
