I'm going to take your second example first.
> The base graphics "image" function has zlim arguments which let you do:
>
> z=outer(1:10,1:10,"*")
> image(z)
> image(z/2, zlim=range(z))
>
> but again, not obvious, and complex/impossible when using more
> sophisticated colour mappings.
The way to do more complex examples, similar to the manner you suggested
originally, is use the breaks and col arguments, e.g.
breaks <- c(0,25,75,100)
col <- c("red", "blue", "green")
image(z, breaks=breaks, col=col)
image(z/2, breaks=breaks, col=col)
So it is possible here, though perhaps not obvious.
With your first example ...
> The problem here is that the user doesn't have exact control of the
> mapping from value to colour. For example (using a slightly more
> safe-for-use-after-lunch version of the levelplot example grid):
>
> x <- seq(pi/4, 5 * pi, length.out = 100)
> y <- seq(pi/4, 5 * pi, length.out = 100)
> r <- as.vector(sqrt(outer(x^2, y^2, "+")))
> grid <- expand.grid(x=x, y=y)
> grid$z <- r
> grid$z2 = r *0.5
>
>
> Then I do:
>
> levelplot(z~x*y, grid, cuts = 5, col.regions=rainbow(5))
>
> very nice, but suppose I want to show $r2 on the same colour scale, I
> can't just do:
>
> levelplot(z2~x*y, grid, cuts = 5, col.regions=rainbow(5))
>
> because that looks the same as the first one since levelplot uses the
> whole colour range.
... I agree that the inability to specify a vector of cut points ruins
your chances of doing what you want.
> > There may be some utility in creating functions to generate these
colour
> > maps outside of the plotting functions, if only so that the code can
be
> > recycled for new functions.
>
> Exactly, it would make a new package.
Excellent. I reckon keeping the cut vector/colour vector input format
would be sensible, e.g.
continuousColours <- function(x, breaks, col)
{
if(length(breaks) != length(col)+1) stop("must have one more break than
colour")
col[as.numeric(cut(x, breaks))]
}
x <- runif(10, 0, 5)
breaks <- 0:5
col <- c("red", "blue", "green", "cyan", "magenta")
plot(1:10, x, col=continuousColours(x, breaks, col))
Regards,
Richie.
Mathematical Sciences Unit
HSL
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