[R] lda in R vs S
Prof Brian D Ripley
ripley at stats.ox.ac.uk
Thu May 6 22:24:07 CEST 1999
On Thu, 6 May 1999, Marc R. Feldesman wrote:
> I'm running a discriminant analysis in R (0.64.1) to compare it with SPlus
That's not released until tomorrow! I guess you have the pre-release,
prerw0641, which is actually of 0.64.0.
> 4.5R2. The following command line works fine in SPlus but gives an error
> in R. I've only used R for a little while so I'm not certain here what R
> (or lda) is complaining about. The dependent variable (sarich.na[,3]) is
> an alpha categorical variable, if that makes a difference. I'm using
What's that? The response ought to be a factor, according to the docs:
formula: A formula of the form `groups ~ x1 + x2 + ...{}'
That is, the response is the grouping factor and
the right hand side specifies the (non-factor)
discriminators.
> version VR5.3 (file name VR5.3pl037.zip).
>
> lda.out<-lda(sarich.na[,3]~., data=sarich.na[,4:32])
> Error in model.frame(formula, rownames, variables, varnames, extras,
> extranames, : invalid variable type
>
> Is this an lda issue or an R issue?
It is an R issue. Only logical, integer and real variables are allowed
in R model frames, for as the code says
/* Sanity checks to ensure that the the answer can become */
/* a data frame. Be deeply suspicious here! */
But that is not the `right' way to do this in either. Use either
lda.out<-lda(sarich.na[,4:32], sarich.na[,3])
or
lda.out<-lda(somename ~ ., data=sarich.na[,3:32])
where somename is the name of column 3, and that had better be a factor.
--
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)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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