print.rpart: Print an Rpart Object

In rpart: Recursive Partitioning and Regression Trees

Print an Rpart Object

Description

This function prints an rpart object. It is a method for the generic function print of class "rpart".

Usage

## S3 method for class 'rpart'
print(x, minlength = 0, spaces = 2, cp, digits = getOption("digits"),
  nsmall = min(20, digits), ...)

Arguments

x	fitted model object of class "rpart". This is assumed to be the result of some function that produces an object with the same named components as that returned by the rpart function.
minlength	Controls the abbreviation of labels: see labels.rpart.
spaces	the number of spaces to indent nodes of increasing depth.
digits	the number of digits of numbers to print.
nsmall	the number of digits to the right of the decimal. See format.
cp	prune all nodes with a complexity less than cp from the printout. Ignored if unspecified.
...	arguments to be passed to or from other methods.

Details

This function is a method for the generic function print for class "rpart". It can be invoked by calling print for an object of the appropriate class, or directly by calling print.rpart regardless of the class of the object.

Side Effects

A semi-graphical layout of the contents of x$frame is printed. Indentation is used to convey the tree topology. Information for each node includes the node number, split, size, deviance, and fitted value. For the "class" method, the class probabilities are also printed.

See Also

print, rpart.object, summary.rpart, printcp

Examples

z.auto <- rpart(Mileage ~ Weight, car.test.frame)
z.auto
## Not run: node), split, n, deviance, yval
      * denotes terminal node

 1) root 60 1354.58300 24.58333  
   2) Weight>=2567.5 45  361.20000 22.46667  
     4) Weight>=3087.5 22   61.31818 20.40909 *
     5) Weight<3087.5 23  117.65220 24.43478  
      10) Weight>=2747.5 15   60.40000 23.80000 *
      11) Weight<2747.5 8   39.87500 25.62500 *
   3) Weight<2567.5 15  186.93330 30.93333 *

## End(Not run)

rpart documentation built on May 29, 2024, 8:38 a.m.