Have a look at this reprint: Legendre, P. 2010. Coefficient of concordance. In: Encyclopedia of Research Design. SAGE Publications (in press).
Available as a PDf file on Pierre Legendre's website: http://www.bio.umontreal.ca/legendre/reprints/index.html It should answer your questions. > > Message: 1 > Date: Wed, 4 Nov 2009 16:21:27 +0000 > From: Corrado <[email protected]> > Subject: Re: [R-sig-eco] Testing "order" on predicted data > To: Sarah Goslee <[email protected]>, [email protected] > Message-ID: <[email protected]> > Content-Type: Text/Plain; charset="iso-8859-1" > > > I am not looking for any relationships between data, only rank order > correspondence, which means the nearer is the rank order equivalence the > better it is. I have tried to explain in my 2 emails, probably failing. The > number of variables is normally one, as in my second email. > > I considered Kendal and Wilcoxon (and also Friedman), but I am not sure which > one is better (that is better at comparing rank orders). > > Another example, to simplify the question: if you have ten judges evaluating > the quality of 10 products by ranking from the best (1) to the worst (10) and > you want to discover which couple of judges did provide the most similar > ranking for the products, which test would you use? > -- Etienne Laliberté ================================ Rural Ecology Research Group School of Forestry University of Canterbury Private Bag 4800 Christchurch 8140, New Zealand Phone: +64 3 366 7001 ext. 8365 Fax: +64 3 364 2124 www.elaliberte.info _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
