[R] non-parametric Anova and tukeyHSD

[Bert Gunter]

An anova with sites as the independent variable, you mean?

My suggestion: Forget formal inference and multiple testing (Tukey HSD),
order the sites (i.e. their levels with site as a factor) "appropriately,"
which means what you decide it should on the basis of the site
characteristics, locations, etc.; or if that is meaningless, on the basis of
their medians. And then do a trellis plot by site of the (jittered?) results
-- a "stripplot" --  with an overlaid kernel density. Or perhaps histograms.
Or both. Then, as Ellis Ott advised, "Look at your data ... and think."

Cheers,
Bert Gunter


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of stephen sefick
Sent: Friday, August 29, 2008 2:16 PM
To: r-help at r-project.org
Subject: [R] non-parametric Anova and tukeyHSD

I have insect data from twelve sites and like most environmental data
it is non-normal mostly.  I would like to preform an anova and a means
seperation like tukey's HSD in a nonparametric sense (on some sort of
central tendency measure - median?).  I am searching around at this
time on the internet.  Any suggestions, books, etc. would be greatly
appreciated.

-- 
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.

	-K. Mullis

______________________________________________
R-help at 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.