Martin Batholdy <batholdy <at> googlemail.com> writes:
> I would like to colour different areas of a plot.
> But I don't know how to do this efficiently.
>
> here an example:
> (t = time)
>
> t <- 1:100
> bg_colors <- c(rep('green',20), rep('yellow',10),
rep('green',20), rep('red',5),
> rep('yellow',45))
>
> color_scheme <- data.frame(t, bg_colors)
>
> plot(c(), c(), xlim = c(1,100), ylim=c(-1,1))
>
> rect(xleft = 1, ybottom = -1, xright = 20, ytop = 1,
col = 'green', lwd=0)
> rect(xleft = 20, ybottom = -1, xright = 30, ytop = 1,
col = 'yellow', lwd=0)
> …
>
> now how can I do this efficiently based on the c
olor_scheme data-frame
and without having to manually draw
> all the rectangles as in the example above?
The first 4 arguments of rect can be vectors
as can be the col argument. So you might be able to
draw all of the regions with a single call to rect.
I've done this to create alternating light and dark
regions to highlight condition changes.
See ?rect, of course.
>
> thanks for any suggestions!
>
--
Kenneth Knoblauch
Inserm U846
Stem-cell and Brain Research Institute
Department of Integrative Neurosciences
18 avenue du Doyen Lépine
69500 Bron
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