Package pROC does the job - roc.test with parameter paired=F Karl
----- Ursprüngliche Mail ---- Von: Karl Knoblick <karlknobl...@yahoo.de> An: r-h...@stat.math.ethz.ch Gesendet: Montag, den 27. Juni 2011, 12:19:48 Uhr Betreff: Differences between ROC curves Hallo! Can anybody help with the comparison of ROC curves? I want to compare two uncorrelated ROC curves, i.e. the data sets of the two ROC curves are from different samples. One way to compare ROC curves seems to be the comparison of the AUCs. Although I found the package pROC with he comparison of correlated ROC curves, I did not find anything about the comparison of uncorrelated ROC curves. Does anybody know how to compare the AUC of wo uncorrelated ROC curves? (Why do I want to do this? I have two samples an older and a newer one.The question is, if the diagnostic test (AUC of ROC curve) is better in either the older or newer sample or if they are equal.) Thanks for any help! Karl ______________________________________________ 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.
