On Fri, Jun 6, 2008 at 3:37 PM, Michael Friendly <[EMAIL PROTECTED]> wrote:
> In an R graphic, I'm using
>
> cond.col <- c("green", "yellow", "red")
> to represent a quantitative variable, where green means 'OK', yellow
> represents 'warning'
> and red represents 'danger'. Using these particular color names, in B/W, red
> is darkest
> and yellow is lightest. I'd like to find color designations to replace
> yellow and green so
> that when printed in B/W, the yellowish color appears darker than the
> greenish one.
An alternative approach would be to convert the colours into Luv,
adjust luminance appropriately and then convert back:
cond.col <- c("green", "yellow", "red")
col <- col2rgb(cond.col)
col.Luv <- convertColor(t(col), "sRGB", "Luv")
rownames(col.Luv) <- cond.col
col.Luv[, "L"] <- c(8000, 6000, 8000)
t(convertColor(col.Luv, "Luv", "sRGB"))
However, that doesn't actually seem to work - the back-transformed
colours are the same as the original.
Hadley
--
http://had.co.nz/
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