click.Roc: Click on ROC curve

In ModelGood: Validation of risk prediction models

Description

Show marker value sensitivity and specificity at mouse point

Usage

click.Roc(object, pch = 19, label = TRUE, adj, col = "orange", cex = 3,
  ...)

Arguments

object	An object obtained with function Roc
pch	the symbol of the tag
label	If TRUE label the tag.
adj	passed to text to adjust of the legend relative to clickpoint.
col	the color of the tag
cex	the size of the tag
...	passed to identify

Details

A tag is set on the ROC curve at the mouse click and corresponding marker value, sensitivity and specificity shown below the click-point.

Value

the values at the tag

Author(s)

Thomas A. Gerds <[e-mail]>

See Also

identify Roc

Examples

## Not run: 
x <- abs(rnorm(20))
d <- data.frame(y=rbinom(1:20,1,p=x/max(x)))
r <- Roc(y~x,data=d)
plot(r)
click.Roc(r)
 
## End(Not run)

Example output

integer(0)

ModelGood documentation built on May 2, 2019, 3:02 a.m.