Sorry, I'm new to R, and relatively new to statistics too so I'm still a bit unclear. The values in the post were only a sample of around 8400 rows. The label has 1 or 0 (I thought this was the two classes needed). Each label row has an equivalent probability. This is the data that I output from the logistic regression analysis, but it is seemingly not the right format for ROC curve analysis. There is a difference in how R displays the data, when I type ROCR.simple it is in the format:
$predictions [1] 0.612547843 0.364270971 0.432136142....... $labels [1] 1 1 0 0 0 1 1 1 1 0 1 0 1 0 0 0 1 1 1 0 0 0 0 ... etc. whereas mine is in columns, e.g. ID, labels, probs 8930 0 0.00070 8931 0 0.00036 8932 1 0.00000 8933 1 0.00002 8934 0 0.00001 etc. That is why I think it is a format issue, but being new to R, I'm not sure what I need to do to rectify it. I have attached the text file if this helps. Thank you for your time, http://r.789695.n4.nabble.com/file/n2328240/prob.txt prob.txt -- View this message in context: http://r.789695.n4.nabble.com/ROCR-data-input-tp2328117p2328240.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.
