R in a Nutshell

rpart

This package provides functions for recursive partitioning and regression trees.

Functions

Function	Description
meanvar	Creates a plot on the current graphics device of the deviance of the node divided by the number of observations at the node. Also returns the node number.
na.rpart	Handles missing values in an rpart object.
path.rpart	Returns a names list, where each element contains the splits on the path from the root to the selected nodes.
plotcp	Gives a visual representation of the cross-validation results in an rpart object.
post	Generates a PostScript presentation plot of an rpart object.
printcp	Displays the cp table for a fitted rpart object.
prune	Determines a nested sequence of subtrees of the supplied rpart object by recursively snipping off the least important splits, based on the complexity parameter (cp).
rpart	Fits an rpart model.
rpart.control	Various parameters that control aspects of the rpart fit.
rpconvert	Rpart objects changed (slightly) in their internal format in order to accommodate the changes for user-written split functions. This routine updates an old object to the new format.
rsq.rpart	Produces two 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.
snip.rpart	Creates a “snipped” rpart object, containing the nodes that remain after selected subtrees have been snipped off. The user can snip nodes ...