[R] Measuring Goodness of a Matrix
mark_difford at yahoo.co.uk
Tue Jun 24 23:04:55 CEST 2008
>> Suppose I have 2 matrices A and B.
>> And I want to measure how good each of this matrix is.
You really want to be using Robert & Escoufier's RV-coefficient (A unifying
tool for linear multivariate statistical methods: The $RV$-coefficient Appl.
Statist., 1976, 25, 257-265).
Several packages in R use it. If I were you I would look at the coinertia()
function in package ade4, which is a fine implementation, with a good plot
method. There is also a randomization test. You could also look at
Procrustean analysis (also with a randomization test and also implemented in
the named package).
Gundala Viswanath wrote:
> Hi all,
> Suppose I have 2 matrices A and B.
> And I want to measure how good each of this matrix is.
> So I intend to compare A and B with another "gold standard"
> matrix X. Meaning the more similar a matrix to X the better it is.
> What is the common way in R to
> measure matrix similarity (ie. A vs X, and B vs X) ?
> - Gundala Viswanath
> Jakarta - Indonesia
> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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