Plot for kernel receiver operating characteristic curve (ROC) estimate
Plot for kernel receiver operating characteristic curve (ROC) estimate 1- to 3-dimensional data.
## S3 method for class 'kroc' plot(x, add=FALSE, add.roc.ref=FALSE, ylab, xlab, ...)
x |
object of class |
add |
flag to add to current plot. Default is FALSE. |
add.roc.ref |
flag to add reference ROC curve. Default is FALSE. |
xlab |
x-axis label. Default is "False positive rate (bar(specificity))". |
ylab |
y-axis label. Default is "True positive rate (sensitivity)". |
... |
other graphics parameters used in |
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to graphics/RGL window.
library(MASS)
data(fgl)
x1 <- fgl[fgl[,"type"]=="WinF",c("RI", "Na")]
x2 <- fgl[fgl[,"type"]=="Head",c("RI", "Na")]
Rhat <- kroc(x1=x1, x2=x2)
plot(Rhat, add.roc.ref=TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.