AUC (version 0.3.2)

plot.AUC: Plot the sensitivity, specificity, accuracy and roc curves.

Description

This function plots the (partial) sensitivity, specificity, accuracy and roc curves.

Usage

# S3 method for AUC
plot(x, y = NULL, ..., type = "l", add = FALSE, min = 0, max = 1)

Arguments

x

an object produced by one of the functions sensitivity, specificity, accuracy, or roc

y

Not used.

...

Arguments to be passed to methods, such as graphical parameters. See ?plot

type

Type of plot. Default is line plot.

add

Logical. If TRUE the curve is added to an existing plot. If FALSE a new plot is created.

min

a numeric value between 0 and 1, denoting the cutoff that defines the start of the area under the curve

max

a numeric value between 0 and 1, denoting the cutoff that defines the end of the area under the curve

References

Ballings, M., Van den Poel, D., Threshold Independent Performance Measures for Probabilistic Classifcation Algorithms, Forthcoming.

See Also

sensitivity, specificity, accuracy, roc, auc, plot

Examples

# NOT RUN {
data(churn)

plot(sensitivity(churn$predictions,churn$labels))

plot(specificity(churn$predictions,churn$labels))

plot(accuracy(churn$predictions,churn$labels))

plot(roc(churn$predictions,churn$labels))


# }