
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]]

