Re: [R] discriminant analysis

From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>
Date: Fri 23 Jul 2004 - 20:01:57 EST


I don't think this is `discriminant analysis' as used in English (the French translation has a wider meaning). I suggest you start with multinom (in package nnet, part of the standard R distribution) which does fit a log-linear model, and rpart (in package rpart) as a classification tree is often useful to select variables in this sort of problem (and with 49 explanatory variables you are presumably hoping that only a few are needed).

On Fri, 23 Jul 2004, Pierre.Olivier.Mazagol wrote:

> Hello.
> I have a data base with 50 qualitative variables and a lot of
> individuals. I try to estimate the links between one of these variables
> (landcover) and the 49 others (geomorphology, hydrography...). I want to
> use a "discriminant analysis on qualitative variables" (as DISQUAL in
> SPAD) or a " log-linear model ". Which R-Package(s) or other methods can
> you advise me.

-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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Received on Fri Jul 23 20:20:03 2004

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