# Classification Tree with rpart
library(rpart)
# grow tree
fit <- rpart(y~ x1 + x2+ x3 + x4+ x5,method="class", data=data)
printcp(fit) # display the results
plotcp(fit) # visualize cross-validation results
summary(fit) # detailed summary of splits
# plot tree
plot(fit, uniform=TRUE,main="Classification Tree for data")
text(fit, use.n=TRUE, all=TRUE, cex=.8)
# create attractive postscript plot of tree
post(fit, file = "c:/tree.ps",title = "Classification Tree for data")
> plotcp(fit)
Erreur dans plotcp(fit) :
'cptable' ne contients aucuns résultats de validation croisée
> summary(fit)
Call:
rpart(formula = y~ x1 + x2 + x3 +x4 +x5,
data = data, method = "class")
n=2091 (631 observations deleted due to missingness)
CP nsplit rel error
1 0 0 1
Erreur dans yval[, 1] : nombre de dimensions incorrect
->> Someone can help to solve this problem.
Thanx
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