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?