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Subject: | XploRe Application Guide |
See XploRe: |
Quantlet: | cart02 | |
Description: | finds the initial regression tree for 100 simulated data from function f(x1,x2) | |
Download: | cart02.xpl |
proc(y)=tuto(seed,n) randomize(seed) xdat=uniform(n,2) ydat=120.*matrix(n,1)-(xdat[,2]<=0.5).*120 ydat=ydat+(xdat[,2]>0.5).*(xdat[,1]<=0.5).*20 ydat=ydat+normal(n) y=list(xdat,ydat) endp library("xclust") data=tuto(1,100) type=#(1,1) opt=cartsplitopt("minsize",1,"mindev",0,"mincut",5) tr=cartsplit(data.xdat,data.ydat,type,opt) totleaves=leafnum(tr,1) totleaves plotcarttree(tr)
Subject: | XploRe Application Guide |
See XploRe: |