Two factor (or more) non-parametric comparison of means

"Marc Schwartz (via MN)" <mschwartz at mn.rr.com> 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 <jsorkin at grecc.umaryland.edu>:
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 at 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             ??ster Farimagsgade 5, Entr.B
  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
 (*) \(*) -- University of Copenhagen   Denmark          Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)                  FAX: (+45) 35327907

Two factor (or more) non-parametric comparison of means

Thread (5 messages)