is there a R function that produces calibration curve on an independetn data automatically, just like what calibrate() does on the training data itself?
Thanks John ________________________________ From: Comcast <dwinsem...@comcast.net> Cc: "r-help@r-project.org" <r-help@r-project.org> Sent: Monday, August 15, 2011 2:04 PM Subject: Re: [R] calibration curve for cph() Build a prediction function using 'Function' that gets applied to set2. Calibrate and validate. -- David Sent from my iPhone > Hi, the calibrate.cph() function in rms package generate calibration curve > for Cox model on the same dataset where the model was derived using > bootstrapping or cross-validation. If I have the model built on dataset 1, > and now I want to produce a calibration curve for this model on an > independent dataset 2, how can I do that? > > Thanks > > John > > [[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. [[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.
