# 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?

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

 ``` 1 2 3 4 5 6 7 8 9 10``` ```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.