1 예제

2 예제

3 예제

4 Boosting Tree

5 참고자료

library(rpart)
library("rpart.utils")
library("rpart.plot")

fit<-rpart(Reliability~.,data=car.test.frame)
rpart.subrules.table(fit)

plotcp(fit)
rpart.plot(fit, type=4)

library(rpart)
model <- rpart(factor(is_out)~., data=training, method="class")

plot(model, uniform=TRUE)
text(model, use.n=T)

library(rattle)
fancyRpartPlot(model)

#install.packages("tree")
library(tree)
ir.tr <- tree(Species ~., iris)
ir.tr
ir.tr1 <- snip.tree(ir.tr, nodes = c(12, 7))
summary(ir.tr1)
par(pty = "s")
plot(iris[, 3],iris[, 4], type="n",
     xlab="petal length", ylab="petal width")
text(iris[, 3], iris[, 4], c("s", "c", "v")[iris[, 5]])
partition.tree(ir.tr1, add = TRUE, cex = 1.5)

# 1D example
ir.tr <- tree(Petal.Width ~ Petal.Length, iris)
plot(iris[,3], iris[,4], type="n", xlab="Length", ylab="Width")
partition.tree(ir.tr, add = TRUE, cex = 1.5)

library(xgboost)

• http://www.di.fc.ul.pt/~jpn/r/tree/tree.html --> Classification & Regression Trees, 좋네요.
  
• DTreesO.pdf (원본)--> R 예제가 잘 되어 있다.