Yes, Jonathan has looked at randomForest, but for rpart trees, ipred might
be more appropriate.
Cheers,
Andy
> From: Sean Davis
>
> Jonathan,
>
> Try making a list instead of an array. See ?list. Also, did
> you look into
> random forests? I'm not sure what you want to do, but there might be
> methods there to do some of the work for you.
>
> Sean
>
> On 3/19/04 1:12 PM, "Jonathan Williams"
> <jonathan.williams at pharmacology.oxford.ac.uk> wrote:
>
> > I would like to collect the trees grown by rpart fits in an array,
> > in order to be able to use them later to predict new data. I have
> > tried to use parse and eval to do this, without success. I'd be
> > very grateful if someone could explain how to do it.
> >
> > The kind of thing I hope to do is:
> >
> > resmat=array(NA, 100)
> > for (run in 1:100) resmat[run]=rpart(y~., data=train[run])
> >
> > So that, later, I can do:
> > for (run in 1:100) pred[run]=predict(resmat[run], newdat)
> >
> > But, resmat[run] does not work, even though it saves the cptables.
> >
> > Thanks, in advance,
> >
> > Jonathan Williams
> > OPTIMA
> > Radcliffe Infirmary
> > Woodstock Road
> > OXFORD OX2 6HE
> > Tel +1865 (2)24356
> >
> > ______________________________________________
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> >
>
>
> ______________________________________________
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