iroc: Plot the ROC curve

In liyistat/iroc: Calculate and Plot the ROC curve

Description

Plot the ROC curve and show the AUC of ROC. The 0.95 CI of AUC were calculated by DeLong's method.

Usage

iroc(testy, yhat)

Arguments

testy	A vector containing the true class labels.
yhat	A numeric vector containing prediction probabilities.

Value

Figure of the ROC curve.

Author(s)

Yi Li, [e-mail]

Examples

#Simulate true prediction labels
testy<-rep(c(0,1),500)
#Simulate prediction probabilities
yhat<-runif(1000, min = 0, max = 1)
#Plot the ROC curve and show the AUC and its CI
#Print the prediction performance of the topleft point
iroc(testy, yhat)

liyistat/iroc documentation built on May 21, 2019, 7:33 a.m.