| predict.PPtreeclass {PPtreeViz} | R Documentation |
predict PPtree
Description
predict projection pursuit classification tree
Usage
## S3 method for class 'PPtreeclass'
predict(object, newdata = NULL, Rule = 1, ...)
Arguments
object |
a fitted object of class inheriting from "PP.Tree.class" |
newdata |
the test dataset |
Rule |
split rule 1: mean of two group means 2: weighted mean of two group means - weight with group size 3: weighted mean of two group means - weight with group sd 4: weighted mean of two group means - weight with group se 5: mean of two group medians 6: weighted mean of two group medians - weight with group size 7: weighted mean of two group median - weight with group IQR 8: weighted mean of two group median - weight with group IQR and size |
... |
arguments to be passed to methods |
Details
Predict class for the test set with the fitted projection pursuit classification tree and calculate prediction error.
References
Lee, YD, Cook, D., Park JW, and Lee, EK(2013) PPtree: Projection Pursuit Classification Tree, Electronic Journal of Statistics, 7:1369-1386.
Examples
data(iris)
n <- nrow(iris)
tot <- c(1:n)
n.train <- round(n*0.9)
train <- sample(tot,n.train)
test <- tot[-train]
Tree.result <- PPTreeclass(Species~., data=iris[train,],"LDA")
predict(Tree.result)