On Oct 1, 2015, at 2:26 AM, kirsada wrote: > Please bear with me, I am very new to R. > > My question is regarding the use of the improveProb function in the Hmisc > package. I have two logistic models, the only difference being that the > second model contains my novel marker of interest. I am trying to calculate > NRI and IDI to compare models. > > I have the PredRisks for both models - PredRisk1 and PredRisk2, and my > outcome is disease 0/1. How do I define this in R in order to run > > improveProb(x1, x2, y)?
If you are saying that you have two numerical values each of length one, than I do not think you can pass those to a function that expects raw data. If your "PredRisk" variables are vectors of the same length as y and having a range of [0,1] as befits a probability, then what problems are you experiencing? -- David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
