Do you have a citation for that statement? I cannot convince myself
that it should be true.
After looking at the CRAN Task View, I would suggest the OP look at
rlm(MASS) or lmrob(robustbase).
--
David
On Oct 2, 2009, at 11:05 AM, Kjetil Halvorsen wrote:
On Fri, Oct 2, 2009 at 8:45 AM, David Winsemius <dwinsem...@comcast.net
> wrote:
There are multiple routes to "robust" statistics, but the quick
answer to
this question is probably friedman.test
I don't think friedman.test is robust to variance heterogeneity. It is
only robust to
non-normality.
Kjetil
I seem to remember a CRAN Task View on the area of Robust Statistics.
--
David Winsemius
On Oct 2, 2009, at 3:05 AM, Maike Luhmann wrote:
Dear list members,
I am looking for an alternative function for a two-way ANOVA in
the case
of
variance heterogeneity. For one-way ANOVA, I found oneway.test(),
but I
didn't find anything alike for two-way ANOVA. Does anyone have a
suggestion?
Thank you!
Maike Luhmann
Freie Universität Berlin
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
