Randy Griffiths wrote: > I am trying to make a decision tree using rpart. The function runs very > quickly considering the size of the data (1742, 163). When I call the > summary command I get this: > >> summary(bookings.cart) > Call: > rpart(formula = totalRev ~ ., data = bookings, method = "class") > n=1741 (1 observation deleted due to missingness) > > CP nsplit rel error > 1 0 0 1 > Error in yval[, 1] : incorrect number of dimensions >
And we get: R> summary(bookings.cart) Error in summary(bookings.cart) : object "bookings.cart" not found hence we cannot reproduce and inspect your problem. Please read the posting guide. Uwe Ligges > note: >> dim(bookings) > [1] 1742 163 > > > I have run rpart on past projects without any problems. I have used a > catagorical version of the variable totalRev that was partitioned into four > levels (and coded as a factor). > I tried making a tree with the tree command (in the 'tree' package) and was > able to construct a tree without any errors. However, I would much rather > use rpart. > > Does anyone have any ideas that might help? > > [[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. ______________________________________________ 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.
