Hi,
I am using the rpart package to build a classification tree. I did manage to build a tree with data on a previous project. However, when attampting to build a tree on a project I am working on, I seem to be getting the error shown below:
> nhg3.rp <- rpart(profitresp ~., nhg3, method="class") > plot(nhg3.rp, branch=0.4, uniform=T); text(nhg3.rp, digits=3) Error in yval[, 1] : incorrect number of dimensions
The distribution of my binary dependent variable is: > table(nhg$profitresp)
0 1 3703 4360
I am using 105 potential predictor variables. I am trying to come up with a decision rule to identify profitable responders from non-responders to a mailing.
Some other details are: > summary(nhg3.rp) Call: rpart(formula = profitresp ~ ., data = nhg3, method = "class") n= 8063
CP nsplit rel error 1 0.009451796 0 1 Error in yval[, 1] : incorrect number of dimensions
> print(nhg3.rp) n= 8063
node), split, n, loss, yval, (yprob)
* denotes terminal node1) root 8063 3703 1 (0.4592583 0.5407417) *
> printcp(nhg3.rp)
Classification tree: rpart(formula = profitresp ~ ., data = nhg3, method = "class")
Variables actually used in tree construction: character(0)
Root node error: 3703/8063 = 0.45926
n= 8063
CP nsplit rel error 1 0.0094518 0 1
Any help is appreciated.
Thanks much,
Jude Ryan
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