R Graphical Manual

Browse All

Last data update: 2014.03.03

R: Plot the sensitivity, specificity, accuracy and roc curves.

plot.AUC

R Documentation

Plot the sensitivity, specificity, accuracy and roc curves.

Description

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

Usage

  ## S3 method for class '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

Author(s)

Authors: Michel Ballings and Dirk Van den Poel, Maintainer: Michel.Ballings@UGent.be

References

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

Examples

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))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(AUC)
AUC 0.3.0
Type AUCNews() to see the change log and ?AUC to get an overview.
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AUC/plot.AUC.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.AUC
> ### Title: Plot the sensitivity, specificity, accuracy and roc curves.
> ### Aliases: plot.AUC
> 
> ### ** Examples
> 
> 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))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>