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De : Meyners,Michael,LAUSANNE,AppliedMathematics
Envoyé : mercredi 14 octobre 2009 10:30
À : Robert Kalicki; r-help@r-project.org Objet : RE: [R]
post-hoc test with kruskal.test()
Robert,
you can do the corresponding paired comparisons using
wilcox.test. As far as I know, there is no such general
ael
> -Original Message-
> From: Robert Kalicki
> Sent: Mittwoch, 14. Oktober 2009 14:11
> To: Meyners,Michael,LAUSANNE,AppliedMathematics
> Subject: RE: [R] post-hoc test with kruskal.test()
>
> Hi Michael,
> Thank you very much for your clear and prompt answ
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 NemenyiDDam
Robert Kalicki
> Sent: Mittwoch, 14. Oktober 2009 09:17
> To: r-help@r-project.org
> Subject: [R] post-hoc test with kruskal.test()
>
> 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
&g
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 three
different groups. The preliminary analysis using the kruskal-wallis-test
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