Brian, thanks for the prompt reply.
I am quite new to R and have no clue on how to call internal function.
Tried the following but failed:
> .Internal("pred.rpart")
Error in .Internal("pred.rpart") : invalid .Internal() argument
> .Internal()
Error in .Internal() : 0 arguments passed to '.Internal' which requires 1
> .Primitive("pred.rpart")
Error in .Primitive("pred.rpart") : no such primitive function
> .Primitive("rpart-internal")
Error in .Primitive("rpart-internal") : no such primitive function
So, I copy the whole source code into my codes
pred.rpart <- function(fit, x) {
frame <- fit$frame
nc <- frame[, c('ncompete', 'nsurrogate')]
:
:
}
but still have error msg:
> where <- pred.rpart(mod, newdata=as.matrix(xLost))
Error in pred.rpart(mod, newdata = as.matrix(xLost)) :
unused argument(s) (newdata = c("1335.0", "1335.0", "1335.0", "1335.0",
.....
Btw, my predict function is ok.
> predictLost <- predict(mod, newdata=data.frame(y=yLost, x=xLost))
Thanks.
----
Chua Siang Li
Consultant - Operations Research
Acceval Pte Ltd
Tel: 6297 8740
Email: [EMAIL PROTECTED]
Website: www.acceval-intl.com
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--------- Original Message --------
From: "Prof Brian Ripley" <[EMAIL PROTECTED]>
To: "Chua Siang Li" <[EMAIL PROTECTED]>
Cc: r-help@r-project.org
Subject: Re: [R] rpart$where and predict.rpart
Date: 07/22/08 18:51
On Tue, 22 Jul 2008, Chua Siang Li wrote:
>
> Hello there. I have fitted a rpart model.
> > rpartModel <- rpart(y~., data=data.frame(y=y,x=x),method="class", ....)
> and can use rpart$where to find out the terminal nodes that each
> observations belongs.
> Now, I have a set of new data and used predict.rpart which seems to give
> only the predicted value with no information similar to rpart$where.
> May I know how to find out the terminal nodes that each new observations
> belongs to?
You need to read the code to answer questions about internals. A very
quick glance at predict.rpart would have told you that
where <- pred.rpart(object, rpart.matrix(newdata))
is what you are looking for. (Note that pred.rpart like many other
internal functions is not exported from the name space.)
> Many thanks.
> ----
> Chua Siang Li
> Consultant - Operations Research
> Acceval Pte Ltd
> Tel: 6297 8740
> Email: [EMAIL PROTECTED]
> Website: [2]www.acceval-intl.com
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, [4]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
References
1. mailto:[EMAIL PROTECTED]
2. http://www.acceval-intl.com/
3. mailto:[EMAIL PROTECTED]
4. http://www.stats.ox.ac.uk/~ripley/
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