Greetings,
This is more of an explanation question but I was using the colAUC function
on the iris dataset and everything works smoothly. This provides the AUC
for each pairwise comparison. I decided to do the actual subset for one of
the comparisons and the numbers are different (.9326 v. .9152). How/Why
could this be?
require(caTools)
data(iris)
colAUC(iris[,1], iris[,5], plotROC=FALSE, alg = "ROC")
> colAUC(iris[,1], iris[,5], plotROC=FALSE, alg = "ROC")
> [,1]
setosa vs. versicolor 0.9326
setosa vs. virginica 0.9846
versicolor vs. virginica 0.7896
set_vers <- subset(iris, Species==c("setosa","versicolor"))
set_vers$Species <- factor(set_vers$Species)
colAUC(set_vers[,1], set_vers[,5], plotROC=FALSE, alg = "ROC")
> colAUC(set_vers[,1], set_vers[,5], plotROC=FALSE, alg = "ROC")
> [,1]
setosa vs. versicolor 0.9152
Regards,
--
Charles Determan
Integrated Biosciences PhD Candidate
University of Minnesota
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