Entering edit mode
16 months ago
Peter
▴
20
Hey guys, All good?
I use this simple script to generate roc curves:
fit1=glm(Class ~ ACTB, data = mydata, family='binomial')
pred1 = predict(fit1)
roc1=roc(data$Class ~ pred1)
plot(roc1, col='black', print.auc=TRUE,
print.auc.cex = 0.8,
print.auc.y=0.1,
print.auc.x=0.2)
My input table is as follows:
Column 1 contains the name of the samples, column 2 contains the class of the sample, and the other columns with the intensity of the proteins that I want to make the ROC curve.
I would like to do everything automatically, because the way I do it now, I need to do it one by one. Could someone help me, please?
Thanks in advance!!
Please make the data reproducible, add example data via
dput()
.