I am trying to make a decision tree using rpart. This is my code and output.
> data <- read.table("/Users/randygriffiths/Desktop/data", header=T)
> attach(data)
>
> library(rpart)
> bookings.cart <- rpart(totalRev~., data=data, method="class")
> bookings.cart
n= 50
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 50 15 0 (0.7 0.04 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02
0.02 0.02 0.02) *
> summary(bookings.cart)
Call:
rpart(formula = totalRev ~ ., data = data, method = "class")
n= 50
CP nsplit rel error
1 0 0 1
Error in yval[, 1] : incorrect number of dimensions
I have used rpart on past projects without any problems. I can do a
regression tree without any error as well (by leaving off the method="class"
argument). I have used this same data using 'randomForest' with good results
and also using 'tree' without this error. I have seen that at least a few
people have reported getting this same error with rpart, but I could not
find an answer that helped the problem. Can anyone help me?
Randy
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
