[R] discriminant analysis

Prof Brian Ripley
Fri, 23 Jul 2004 10:01:57 -0000

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 at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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