[R] post-hoc test with kruskal.test()
dwinsemius at comcast.net
Wed Oct 14 14:29:30 CEST 2009
There is a post hoc test along the lines of the Kruskal-Wallis test.
It is implemented on the help page of oneway_test from package coin.
The authors of the package, Hothorn, Hornik, van de Wiel, and
Zeileis, cite Hollander and Wolfe (1999) for details and say it is
called the NemenyiDDamico-Wolfe-Dunn test.
Or see nparcomp function in package nparcomp.
There is also a post hoc test for the situation where a Friedman test
has been done, and that is seen on the help page for SymmetryTests in
package coin: the Wilcoxon-Nemenyi-McDonald-Thompson test:
There is also an option of using the MTP function in the multtest
On Oct 14, 2009, at 3:17 AM, Robert Kalicki wrote:
> Dear R users,
> I would like to know if there is a way in R to execute a post-hoc test
> (factor levels comparison, like Tukey for ANOVA) of a non-parametric
> analysis of variance with kruskal.test() function. I am comparing
> different groups. The preliminary analysis using the kruskal-wallis-
> show significance, but I still don't know the relationship and the
> significance level between each group?
> Do you have any suggestion?
David Winsemius, MD
West Hartford, CT
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