Hi there,

I'm new to R and need some help.  I have a dataset of 30,000 records with a
response (1/0) indicator resulting in a response rate of 29%.  I have 1
categorical predictor variable (gender - M/F) and two continuous variables
("score" and age).  When I create an rpart model, I only get one root node
where I know I should get at least 6 based on other tools.  I have checked
the forums and most of the instances where this happens is where there are
<50 records which makes sense (low volumes).  However, this is not the case
for my dataset.  There are no missing values and the predictors are well
distributed.  My code is:

fit <- rpart(Responded ~ ., method="class", data=ed)

Am I missing something obvious?  Thanks very much...
Rob

        [[alternative HTML version deleted]]

______________________________________________
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.

Reply via email to