[BioC] Help on ROCR analysis

[Wolfgang Huber]

Dear Susan

thank you for your message. To increase the chances of reply, please 
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Note that the ROCR package is not on Bioconductor, and if there is no 
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	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.
> 
> 
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-- 

Best wishes
      Wolfgang


--
Wolfgang Huber
EMBL
http://www.embl.de/research/units/genome_biology/huber/contact