roc {Daim} | R Documentation |
Compute a ROC curve
Description
This function computes sensitivity and specificity for a variety of cut-points.
Usage
## S3 method for class 'integer':
roc(x, ...)
## S3 method for class 'numeric':
roc(x, labels, labpos, thres=NULL, ...)
## S3 method for class 'matrix':
roc(x, labels, labpos, thres=NULL, ...)
## S3 method for class 'data.frame':
roc(x, ...)
Arguments
x |
an object (vector, matrix, data.frame ) used for prediction. |
labels |
a vector containing the true class labels. This can be a factor or character vector. |
labpos |
a character string of the variable labels that defines a "positive" event. |
thres |
a numeric vector with the cutoff values. By default, the x define the grid of cut-points. |
... |
additional parameters. |
See Also
plot.Daim
, auc.Daim
Examples
data(Daim.data3)
M <- roc(Daim.data3[,2:5], Daim.data3$Gold, "pos")
summary(M)
plot(M,color=c("black","blue","green3","red"))
roc.area(M)
[Package
Daim version 1.0.0
Index]