Please read the help page for the partialPlot() function and make sure you learn about all its arguments (in particular, "which.class").
Andy -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of jmc Sent: Wednesday, April 11, 2012 2:44 PM To: r-help@r-project.org Subject: [R] Partial Dependence and RandomForest Hello all~ I am interested in clarifying something more conceptual, so I won't be providing any data or code here. >From what I understand, partial dependence plots can help you understand the relative dependence on a variable, and the subsequent values of that variable, after "averaging out the effects" of the other input variables. This is great, but what I am interested in knowing is how that relates to each predictor class, not just the overall prediction. Is it possible to plot partial dependence per class? Specifically, I'd like to know the important threshold values of my most important variables. Thank you for your time, -- View this message in context: http://r.789695.n4.nabble.com/Partial-Dependence-and-RandomForest-tp4549705p4549705.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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. 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.
