plot-methods: ROC Plots

In MRMCaov: Multi-Reader Multi-Case Analysis of Variance

ROC Plots

Description

Plots of ROC curves.

Usage

## S3 method for class 'roc_curve'
plot(x, n = 100, emp_points = FALSE, ...)

## S3 method for class 'roc_curves'
plot(x, n = 100, emp_points = FALSE, ...)

## S3 method for class 'empirical_curve'
plot(x, ...)

## S3 method for class 'empirical_curves'
plot(x, ...)

## S3 method for class 'roc_points'
plot(x, coord_fixed = TRUE, ...)

## S3 method for class 'mrmc'
plot(x, n = 100, ...)

## S3 method for class 'stmc'
plot(x, n = 100, ...)

Arguments

x	object to plot.
n	number of equally spaced false-positive rate points at which to calculate true-positive rates and interpolate through for display of the curve.
emp_points	logical indicating whether to overlay empirical ROC points on parametric curves.
...	arguments passed to other methods.
coord_fixed	logical indicating whether to fix the scales of x and y axes.

Value

Returns a ggplot object.

See Also

roc_curves

Examples

curves <- with(VanDyke,
  roc_curves(truth, rating, groups = list(Test = treatment, Reader = reader))
)
plot(curves)

MRMCaov documentation built on Jan. 11, 2023, 1:14 a.m.