Hi Kelly, The function has a limitation that it cannot handle any column in your "x" that is a categorical variable with more than 32 categories. One possibility is to see if you can "bin" some of the categories into one to get below 32 categories.
Andy -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Kelly Cool Sent: Tuesday, May 29, 2012 10:47 AM To: r-help@r-project.org Subject: [R] Question about random Forest function in R Hello, I am trying to run the random Forest function on a data.frame using the following code.. myrf <- randomForest (y=sample_data_metal, x=Train, importance=TRUE, proximity=TRUE) However, an error occurs saying, "can not handle categorical predictors with more than 32 categories". My "x=Train" data.frame is quite large and my "y=sample_data_metal" is one column. I'm not sure how to go about fixing this error or if there is even a way to get around this error. Thanks in advance for any help. [[alternative HTML version deleted]] Notice: This e-mail message, together with any attachme...{{dropped:11}} ______________________________________________ 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.
