Last data update: 2014.03.03
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R: Plot for kernel receiver operating characteristic curve (ROC)...
Plot for kernel receiver operating
characteristic curve (ROC) estimate
Description
Plot for kernel receiver operating
characteristic curve (ROC) estimate 1- to 3-dimensional data.
Usage
## S3 method for class 'kroc'
plot(x, add=FALSE, add.roc.ref=FALSE, ylab, xlab, ...)
Arguments
x |
an object of class kroc (output from kroc )
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add |
flag to add to current plot. Default is FALSE.
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add.roc.ref |
flag to add reference ROC curve. Default is FALSE.
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xlab |
x-axis label. Default is "False positive rate
(bar(specificity))".
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ylab |
y-axis label. Default is "True positive rate (sensitivity)".
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... |
other graphics parameters used in plot.kde .
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Value
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to
RGL window.
See Also
plot.kde
Examples
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)
Results
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