click: Identify points on plot

In kkholst/lava: Latent Variable Models

Identify points on plot

Description

Extension of the identify function

Usage

## Default S3 method:
click(x, y=NULL, label=TRUE, n=length(x), pch=19, col="orange", cex=3, ...)
idplot(x, y ,..., id=list(), return.data=FALSE)

Arguments

x	X coordinates
...	Additional arguments parsed to plot function
y	Y coordinates
label	Should labels be added?
n	Max number of inputs to expect
pch	Symbol
col	Colour
cex	Size
id	List of arguments parsed to click function
return.data	Boolean indicating if selected points should be returned

Details

For the usual 'X11' device the identification process is terminated by pressing any mouse button other than the first. For the 'quartz' device the process is terminated by pressing either the pop-up menu equivalent (usually second mouse button or 'Ctrl'-click) or the 'ESC' key.

Author(s)

Klaus K. Holst

See Also

idplot, identify

Examples

if (interactive()) {
    n <- 10; x <- seq(n); y <- runif(n)
    plot(y ~ x); click(x,y)

    data(iris)
    l <- lm(Sepal.Length ~ Sepal.Width*Species,iris)
    res <- plotConf(l,var2="Species")## ylim=c(6,8), xlim=c(2.5,3.3))
    with(res, click(x,y))

    with(iris, idplot(Sepal.Length,Petal.Length))
}

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.