Dear R gurus,
I have some data that require sensitivity and specificity calculation and
generation of an ROC curve. I first calculated the sensitivity and specificity
in Excel using generic formulas (true positives/(true positive+false negative)
etc. To make the ROC curves I switched to R and used the pROC package. However,
the sensitivity and specificity values that the data berate through pROC are
not the same as excel. I have tried the different "methods" in pROC and checked
that the data are correctly represented in R. Is the R calculation different
from the traditional calculations of true positive and true negative rate?
Thanks in advance for your help!
Y
Sent from a mobile device.
The information in this e-mail is intended only for the ...{{dropped:11}}
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
