[R-sig-eco] Testing "order" on predicted data

[Etienne Laliberté]

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 <ct529 at york.ac.uk>
> Subject: Re: [R-sig-eco] Testing "order" on predicted data
> To: Sarah Goslee <sarah.goslee at gmail.com>, r-sig-ecology at r-project.org
> Message-ID: <200911041621.27945.ct529 at york.ac.uk>
> 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
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