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:
http://finzi.psych.upenn.edu/R/library/coin/html/SymmetryTests.html
There is also an option of using the MTP function in the multtest
package.
http://finzi.psych.upenn.edu/R/library/multtest/html/MTP.html
--
David Winsemius
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
three
different groups. The preliminary analysis using the kruskal-wallis-
test
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
Heritage Laboratories
West Hartford, CT
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