Consider the following examples:
library(lattice)
x = c(1,1,2,2)
y = c(1,2,1,2)
z = 1:4
levelplot(z~x+y,at=c(.5, 1.5, 2.5, 3.5, 4.5)) # correct
levelplot(z~x+y,at=c(.5, 1.5, 2.5)) # ?
The second plot is clearly incorrect. However, I don't know
what correct behaviour is: ignore everything above 2.5 and
issue a warning? Reject at values that do not cover the
data range, and issue an error message? I think I prefer
the second, as it does not hide extremes.
--
Edzer
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