Dear all,
I would like to perform a receiver operating characteristics (ROC) curve
analysis on data obtained using molecular assays.
I have here an example: the first column is the sample number, the second is
the response variable and the last three columns are the predictors. I wish
to set the formula to test as R ~ P1 + P2 + P3 in order to obtain the
cut-offs for each of the predictors combined.
Any tip on how to proceed?
Thank you
Best regards,
Luigi
R P1 P2 P3
1 0 0.725196908 0 0
2 0 1.089876198 0 0
3 0 1.487365838 0 0
4 0 6.214688703 3.625 0
5 0 48.26356415 13.4 0
6 1 9.494694175 0 0
7 1 15.57700003 4.666 0
8 1 45.53510205 15.57 0
9 1 0.373389928 12.55 1
10 1 0.692909116 0 1
11 1 15.05400384 3.45 1
12 1 20.83909961 6.9 1
13 1 23.24171357 0 1
14 1 43.51470584 0 1
15 1 49.80855616 3.55 1
16 1 664.0886249 10.37 1
17 2 60.85094536 3.725 0
18 2 62.7104185 0 1
19 2 143.7426283 6.5 1
______________________________________________
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.
