[R] memory constraints in ubuntu gutsy

etter for reading in large data sets such as this one? I know that databases can be used for large data, but i need run discriminant analysis or randomForest on all of the variables. Any of your suggestions would be very much appreciated. Sincerely, Randy Griffiths [[alternative HTML ve

Re: [R] rpart error when constructing a classification tree

d getting this same error with rpart, but I could not find an answer that helped the problem. Can anyone help me? Randy On Jan 30, 2008 2:33 AM, Uwe Ligges <[EMAIL PROTECTED]> wrote: > > > Randy Griffiths wrote: > > I am trying to make a decision tree using rpart. The funct

[R] rpart error when constructing a classification tree

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, (yp

[R] rpart error when constructing a classification tree

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

[R] rpart Error in yval[, 1] : incorrect number of dimensions

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