[R] How to fit a classification model in R?
ozric at web.de
Tue Mar 16 07:09:36 CET 2004
helps, what use a backward elimination of attributes ,
further i remind in library(leaps) some helpfuel things
for modellimg selection.
Am Dienstag, 16. März 2004 05:53 schrieb Richard A. O'Keefe:
> I have about 20 000 cases with discrete variables (some are counts,
> some are factors). I'm interested in fitting a series of models
> outcome ~ 1
> outcome ~ sex
> outcome ~ sex + age
> outcome ~ age * sex
> outcome ~ age * sex + location
> I do NOT expect to get any statistical significance out of this at all;
> it's purely exploratory (this is a small sample of the full data set).
> I'm trying multinom (present continuous because it is not a fast method);
> what are recommended ways of doing it?
> As part of this question, what would fitting a "Naive Bayes" model look
> like in R?
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
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