maptree (version 1.4-7)

clip.rpart: Prunes an Rpart Classification or Regression Tree

Description

Reduces a prediction tree produced by rpart to a smaller tree by specifying either a cost-complexity parameter, or a number of nodes to which to prune.

Usage

clip.rpart (tree, cp=NULL, best=NULL)

Arguments

tree

object of class rpart.

cp

cost-complexity parameter.

best

number of nodes to which to prune.

Value

Pruned tree object of class rpart.

Details

A minor enhancement of the existing prune.rpart to incorporate the parameter best as it is used in the (now defunct) prune.tree function in the old tree package. See example.

See Also

rpart, prune.rpart

Examples

# NOT RUN {
  library (rpart)
  data (oregon.env.vars, oregon.border, oregon.grid)

  draw.tree (clip.rpart (rpart (oregon.env.vars), best=7), 
    nodeinfo=TRUE, units="species", cases="cells", digits=0)

  group <- group.tree (clip.rpart (rpart (oregon.env.vars), best=7))
  names(group) <- row.names(oregon.env.vars)
  map.groups (oregon.grid, group)
  lines (oregon.border)
  map.key (0.05, 0.65, labels=as.character(seq(6)), 
    size=1, new=FALSE, sep=0.5, pch=19, head="node")
# }