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
Hi Stephen, See packages: coin nparcomp npmc There is also kruskalmc() in package pgirmess Regards, Mark. stephen sefick wrote:> > 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. > >-- View this message in context: http://www.nabble.com/non-parametric-Anova-and-tukeyHSD-tp19227579p19227986.html Sent from the R help mailing list archive at Nabble.com.
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.