Cost-complexity Pruning of a DStree Object

Description

Determines a nested sequence of subtrees of the supplied DStree object by recursively snipping off the least important splits, based on the complexity parameter (cp).

Usage

snip(tree, cp)

Arguments

Value

A new DStree object that is trimmed to the value cp.

Examples

data(cost)
d.cost <- dis.cost(cost)

fit <- DStree(time~prevStroke+age+sex+alcohol+smoke,status="status",data=d.cost)

sfit<-snip(fit,cp=0.02)
plot(sfit) #plot smaller DStree object

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(DStree)
Loading required package: rpart
Loading required package: pec
Loading required package: prodlim
Loading required package: Ecdat
Loading required package: Ecfun

Attaching package: 'Ecfun'

The following object is masked from 'package:base':

    sign


Attaching package: 'Ecdat'

The following object is masked from 'package:datasets':

    Orange

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DStree/snip.Rd_%03d_medium.png", width=480, height=480)
> ### Name: snip
> ### Title: Cost-complexity Pruning of a DStree Object
> ### Aliases: snip
> 
> ### ** Examples
> 
> data(cost)
> d.cost <- dis.cost(cost)
> 
> fit <- DStree(time~prevStroke+age+sex+alcohol+smoke,status="status",data=d.cost)
> 
> sfit<-snip(fit,cp=0.02)
> plot(sfit) #plot smaller DStree object
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>