plot.fbroc.perf.paired: Plots the difference between the bootstrapped performance...

In erikpeter/fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

Description

Given an object of class fbroc.perf.paired this function plots the difference between the bootstrapped performance estimate of the first and the second classifier as a histogram. the bootstrap as an histogram. The confidence interval is also shown by default.

Usage

## S3 method for class 'fbroc.perf.paired'
plot(x, bins = NULL, col = "white",
  fill = "lightblue", print.plot = TRUE, show.conf = TRUE,
  conf.text = TRUE, ...)

Arguments

x	An object of class fbroc.perf.paired.
bins	Number of bins for histogram. Default value depends on the number of bootstrap values and the number of unique bootstrap performance values.
col	Color of outline of histogram bars. Defaults to white.
fill	Fill of histogram bars. Defaults to lightblue.
print.plot	Logical specifying whether the plot should be printed.
show.conf	Logical specifying whether the confidence interval should be displayed.
conf.text	Logical specifying whether the confidence interval limits should also be displayed as text.
...	Further arguments passed to or from other methods.

Value

A ggplot, so that the user can customize the plot further.

See Also

perf.fbroc.paired.roc

Examples

data(roc.examples)
example <- boot.paired.roc(roc.examples$Cont.Pred, roc.examples$Cont.Pred.Outlier, 
                           roc.examples$True.Class, n.boot = 100)
auc.diff <- perf(example, "auc")
plot(auc.diff)

erikpeter/fbroc documentation built on May 16, 2019, 8:42 a.m.