[R] area under roc curve
f.harrell at vanderbilt.edu
Thu Apr 14 00:20:23 CEST 2011
ROC area does not measure goodness of prediction but does measure pure
predictive discrimination. The generalization of the ROC area is the
C-index for continuous or censored Y. See for example the rcorr.cens
function in the Hmisc package.
agent dunham wrote:
> Dear all,
> I want to measure the goodness of prediction of my linear model. That's
> why I was thinking about the area under roc curve.
> I'm trying the following, but I don't know how to avoid the error. Any
> help would be appreciated.
> model.lm <- lm(log(outcome)~log(v1)+log(v2)+factor1)
> pred<-prediction(as.numeric(pred), as.numeric(log(outcome)))
> Error en prediction(as.numeric(pred), as.numeric(log(outcome))) :
> Number of classes is not equal to 2.
> ROCR currently supports only evaluation of binary classification tasks.
> user at host.com
Department of Biostatistics, Vanderbilt University
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