Class rocc, ROC curve representation

Description

object representing ROC curve, typically created using rocdemo.sca

Creating Objects

new('rocc',
sens = ...., # Object of class numeric
spec = ...., # Object of class numeric
rule = ...., # Object of class function
cuts = ...., # Object of class numeric
markerLabel = ...., # Object of class character
caseLabel = ...., # Object of class character
)

Slots

sens:

Object of class "numeric" sensitivity values

spec:

Object of class "numeric" specificity values

rule:

Object of class "function" rule to classify objects

cuts:

Object of class "numeric" thresholds defining curve

markerLabel:

Object of class "character" name of measured marker

caseLabel:

Object of class "character" name of condition

Methods

plot

(rocc, missing): a plotting function with some additional parameters

Examples

set.seed(123)
R1 <- rocdemo.sca( rbinom(40,1,.3), rnorm(40), dxrule.sca,
   caseLabel="new case", markerLabel="demo Marker" )
plot( R1, show.thresh=TRUE )

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(ROC)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ROC/rocc-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rocc-class
> ### Title: Class rocc, ROC curve representation
> ### Aliases: rocc-class .initClasses
> ### Keywords: methods
> 
> ### ** Examples
> 
> set.seed(123)
> R1 <- rocdemo.sca( rbinom(40,1,.3), rnorm(40), dxrule.sca,
+    caseLabel="new case", markerLabel="demo Marker" )
NA in cutpts forces recomputation using smallest gap
> plot( R1, show.thresh=TRUE )
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>