On Fri, Dec 19, 2008 at 05:44:47AM -0800, kdebusk wrote: > I have data sets from three different sites. None of the data sets are > normally distributed and can not be log-transformed to a normal > distribution. I would like to compare the data sets to see if any of > the sites are similar to each other, and would like something more > powerful than a non-parametric wilcoxen test. Does anyone have any > suggestions on more powerful ways of comparing non-normal data sets? > If it helps, the data sets follow a Gamma distribution. Thanks for all > input. > > ______________________________________________ > 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. >
If the data are gamma distributed, then a glm with family Gamma should be a good option. albyn ______________________________________________ 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.
