While I defer to Frank as far as expertise goes, not having access to his paper, I googled, and I just read that this kind of model is not possible when there are a lack of ties for ranks in the data, and adds an intercept for every rank in the data set. So while interpretation doesn't get more difficult with additional ranks, unlike the multinonimal model, Frank's suggestion would not fly for continuous data that was transformed to ranks, as opposed to data collected as ordered categories, where it would be preferable.
On Jan 23, 2008, at 10:52 AM, Frank E Harrell Jr wrote: > David Airey wrote: >>> We need a two-way non-parametric ANOVA in order to analysis >>> properly some ecological data, do you know any reference in R? or >>> how to do it? Thank you very much All the best diana >>> >> A couple more references here are below. I liked the Scheirer >> reference. >> /* >> Scheirer CJ, Ray WS, Hare N (1976) The analysis of ranked data >> derived >> from completely randomized factorial designs. Biometrics 32:429-434 >> Groggel DJ, Skillings JH (1986) Distribution-free tests for main >> effects >> in multifactor designs. American Statistician 40:99-102 >> */ > > My guess is that those are a bit out of date, especially the first > one, when compared to the PO model. > Cheers > Frank > >> ______________________________________________ >> 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. > > > -- > Frank E Harrell Jr Professor and Chair School of Medicine > Department of Biostatistics Vanderbilt University ______________________________________________ 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.
