| ROC and AUC {pchc} | R Documentation |
ROC and AUC
Description
Receiver operating curve and area under the curve.
Usage
auc(group, preds, roc = FALSE, cutoffs = NULL)
Arguments
group |
A numerical vector with the predicted values of each group as 0 and 1. |
preds |
The predicted values of each group. |
roc |
If you want the ROC to appear set it to TRUE. |
cutoffs |
If you provide a vector with decreasing numbers from 1 to 0 that will be used for the ROC, otherwise, the values from 1 to 0 with a step equal to -0.01 will be used. |
Details
The ara under the curve is returned. The user has the option of getting the receiver operating curve as well.
Value
A list including:
cutoffs |
The cutoff values. |
sensitivity |
The sensitivity values for each cutoff value. |
specificity |
The specificity value for each cutoff value. |
youden |
The pair of of 1- specificity and sensitivity where the Youden's J appears on the graph and the Youden index which is defined as the maximum value of sensitivity - specificity + 1. |
auc |
The area under the curve, plus a circle with the point where Youden's J is located. If "roc" is set to FALSE, this is the only item in the list to be returned. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
bn.skel.utils, conf.edge.lower, mmhc.skel
Examples
g <- rbinom(150, 1, 0.6)
f <- rnorm(150)
pchc::auc(g, f, roc = FALSE)