Dear sir/madam, I'm a masters student at Manipal University,India,and am doing methylation data analysis.I subjected the data obtained to ROCR analysis using the commands: pred <- prediction(predictions, labels) perf <- performance(pred, measure = "tpr", x.measure = "fpr") plot(perf, col=rainbow(10)) A brief set of "prediction" values in the data ($predictions): 0.59836348 0.42820548 0.88141522 0.07484118 0.41030317 0.34349624 0.63349003 0.51225317 0.31789225 0.74818798 0.02281738 0.36549982 0.40980097 0.25466337 0.27680128 0.20879282 0.26144171 0.59784408 1.16341073 0.64634278 0.02603932 0.74096199 0.38492218 0.03429591 0.15660236 1.04699480 0.04065977 0.95849380 1.24050240 0.03268187 0.17247822 1.19127392 1.02523731 0.04234674 0.25061179 0.45305541 However ,based on what criteria do you assign the binary values- $labels: (1,0)?and also, how do you correlate these label values to the values of the prediction set? Thanking you, Yours Sincerely, Susan Bosco, MSc in Molecular Biology and Human Genetics, Manipal Life Sciences Centre, Manipal-India. The INTERNET now has a personality. YOURS! See your Yahoo! Homepage. [[alternative HTML version deleted]]

Dear Susan thank you for your message. To increase the chances of reply, please consider following the posting guide, http://www.bioconductor.org/docs/postingGuide.html. Also, the more precisely you formulate your question, the more likely someone will understand it enough it to give a useful answer. Note that the ROCR package is not on Bioconductor, and if there is no further response here, you may need to contact its authors directly. Best wishes Wolfgang Bosco wrote: > Dear sir/madam, > > I'm a masters student at Manipal University,India,and am doing methylation data analysis.I subjected the data obtained to ROCR analysis using the commands: > > pred <- prediction(predictions, labels) > perf <- performance(pred, measure = "tpr", x.measure = "fpr") > plot(perf, col=rainbow(10)) > > A brief set of "prediction" values in the data ($predictions): > > 0.59836348 0.42820548 0.88141522 0.07484118 0.41030317 0.34349624 > 0.63349003 0.51225317 0.31789225 0.74818798 0.02281738 0.36549982 > 0.40980097 0.25466337 0.27680128 0.20879282 0.26144171 0.59784408 > 1.16341073 0.64634278 0.02603932 0.74096199 0.38492218 0.03429591 > 0.15660236 1.04699480 0.04065977 0.95849380 1.24050240 0.03268187 > 0.17247822 1.19127392 1.02523731 0.04234674 0.25061179 0.45305541 > > > However ,based on what criteria do you assign the binary values- $labels: (1,0)?and also, how do you correlate these label values to the values of the prediction set? > > Thanking you, > Yours Sincerely, > Susan Bosco, > MSc in Molecular Biology and Human Genetics, > Manipal Life Sciences Centre, > Manipal-India. > > > The INTERNET now has a personality. YOURS! See your Yahoo! Homepage. > [[alternative HTML version deleted]] > > > > -------------------------------------------------------------------- ---- > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Best wishes Wolfgang -- Wolfgang Huber EMBL http://www.embl.de/research/units/genome_biology/huber/contact