plot.DETs: DET Curves plot

In DET: Representation of DET Curve with Confidence Intervals

Description

From a 'DETs' object generated with the detc function, this function plots the different DET curves included in the object. It includes the Confidence band in case the DETs curves were calculated with a confidence interval.

Usage

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

Arguments

x	An object of class "DETs".
...	Further graphical arguments passed to the plot function.

Details

It accepts plot personalization with graphical parameters (see plot, for more details):

- 'xlim': a numeric vector of length 2, giving the x coordinate range of the plot.

- 'ylim': a numeric vector of length 2, giving the y coordinate range of the plot.

- 'col': a vector of colors, specifying the color for each DET curve.

- 'labels_x': a numeric vector indicating the labels of the X axis.

- 'labels_y': a numeric vector indicating the labels of the Y axis.

- 'xlab': a main label for the X axis.

- 'ylab': a main label for the Y axis.

- 'panel.first': a background grid is plotted. It can be used for modifying the background style of the graphic.

Examples

library(DET)
n = 5000
#Predictors with normal distribution
set.seed(1235)
scoreNegative1 = rnorm(n, mean = 0.25, sd = 0.125)
set.seed(5321)
scoreNegative2 = rnorm(n, mean = 0.25, sd = 0.125)
set.seed(6987)
scoreNegative3 = rnorm(n, mean = 0.25, sd = 0.125)
set.seed(11452)
scorePositive1 = rnorm(n, mean = 0.55, sd = 0.125)
set.seed(54321)
scorePositive2 = rnorm(n, mean = 0.65, sd = 0.125)
set.seed(65987)
scorePositive3 = rnorm(n, mean = 0.75, sd = 0.125)
response = as.factor(c(rep(c("target"), times = n), rep(c("nontarget"), times = n)))
predictor1 = c(scoreNegative1, scorePositive1)
predictor2 = c(scoreNegative2, scorePositive2)
predictor3 = c(scoreNegative3, scorePositive3)
predictors = matrix(c(predictor1, predictor2, predictor3), ncol = 3)
colnames(predictors) = c("DET1", "DET2", "DET3")
detCurves = detc(
  response,
  predictors,
  positive = "target",
  names = colnames(predictors)
)
plot(detCurves,
     main = "Example",
     col = c("black", "blue", "red"))

DET documentation built on April 3, 2021, 1:06 a.m.