Message-ID: <c7b7b3852b32ec07ea7b2097ebf071aa@charter.net>
Date: 2005-09-13T04:09:37Z
From: Stephen D. Weigand
Subject: Finding a decision tree's leaf node from a new value
In-Reply-To: <001601c5b544$bd9ffeb0$5e7aa8c0@FEUPsig.fe.up.pt>
It sounds to me like you're looking for the function predict.rpart().
Hope this helps,
Stephen
On Sep 9, 2005, at 8:45 AM, Jo??o Mendes Moreira wrote:
> Dear mailinglist members,
>
> I have the following problem: I run a decision tree using the rpart
> function and, afterwords, I try to find to which leaf node a new
> register (not used to build the decision tree) belongs to.
>
> I will try to explain better:
>
> rpart.tree <- rpart(target.value ~., data)
> leaf.node <- new.function(rpart.tree, new.register)
>
> The new register has all the explanatory values used to build the tree
> but has not the target value.
> The new.function is the function I am trying to write and shall return
> the leaf.node from the decision tree where it should belong.
>
> What I need ( and I am am not able to) is to reproduce the decision
> path over my new.register.
>
> Thanks in advance
>
> Joao Moreira