tree.control(tree)R Documentation

Select Parameters for Tree

Description

The produces default values of mincut and minsize, and ensures that mincut is at least half minsize.

To produce a tree that perfectly fits the data, set mindev=-1 and minsize = 2.

Usage

tree.control(nobs, mincut=5, minsize=10, mindev=0.01)

Arguments

nobs The number of observations in the training set.
mincut The minimum number of observations to include in either child node. This is a weighted quantity; the observational weights are used to compute the `number'. The default is 5.
minsize The smallest allowed node node: a weighted quantity. The default is 10.
mindev The within-node deviance must be at least this times that of the root node for the node to be split.

Value

A list
mincut The maximum of the input or default mincut and 1
minsize The maximum of the input or default minsize and 2.
nmax A estimate of the maximum number of nodes that might be grown.
nobs The input nobs.

Author(s)

B.D. Ripley

See Also

tree


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