plot-methods: plot method for ROC curves

In ROC: utilities for ROC, with microarray focus

Description

plot method for ROC curves

Methods

x = rocc

plots an ROC curve object, with additional parameters available:

show.thresh (logical):

should marker threshold values be plotted?

jit (logical):

should plotted points be jittered?

add (logical):

increment to current plot?

line (logical):

plot points or lines?

threshCex (numeric):

if showing threshold values, set character expansion in text call to this value

threshYsh (numeric):

if showing threshold values, add this quantity to y coordinate of curve to plot the threshold value (should be negative for printing below point)

threshDig (numeric):

if showing threshold values, use this as the digits parameter to round to display the threshold

...

extra parameters passed to base plot, lines or points as needed

Examples

set.seed(123)
R1 <- rocdemo.sca( rbinom(40,1,.3), rnorm(40), dxrule.sca,
   caseLabel="new case", markerLabel="demo Marker" )
plot(R1, line=TRUE, show.thresh=TRUE, lwd=2, threshDig=2)
R2 <- rocdemo.sca( rbinom(40,1,.3), rnorm(40), dxrule.sca,
   caseLabel="new case", markerLabel="demo Marker" )
plot(R2, line=TRUE, add=TRUE, col="green", lwd=2 )
R3 <- rocdemo.sca( rbinom(40,1,.4), rnorm(40), dxrule.sca,
   caseLabel="new case", markerLabel="demo Marker" )
points(R3, col="red", pch=19)

Example output

NA in cutpts forces recomputation using smallest gap
NA in cutpts forces recomputation using smallest gap
NA in cutpts forces recomputation using smallest gap

ROC documentation built on Nov. 8, 2020, 5:23 p.m.