rsq.rpart

Produces 2 plots. The first plots the r-square (apparent and
 apparent - from cross-validation) versus the number of splits. 
 The second plots the Relative Error(cross-validation) +/- 1-SE from
 cross-validation versus the number of splits.

tree

Recursive partitioning for classification,
regression and survival trees.  An implementation of most of the
functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Beth Atkinson

rpart

Recursive Partitioning and Regression Trees

Terry Therneau

Brian Ripley

rsq.rpart function

<dl><dt>x</dt>
<dd>fitted model object of class <code>"rpart"</code>. This is assumed to be the result
 of some function that produces an object with the same named
 components as that returned by the <code>rpart</code> function.</dd>
</dl>

Arguments

Side Effects

Plots the Approximate R-Square for the Different Splits — rsq.rpart

<dl>

<dt>x</dt>
<dd>fitted model object of class <code>"rpart"</code>. This is assumed to be the result
 of some function that produces an object with the same named
 components as that returned by the <code>rpart</code> function.</dd>
</dl>

rsq.rpart: Plots the Approximate R-Square for the Different Splits

Description

Usage

Arguments

Side Effects

Examples