In fact by fiddling with the "at" and "colorkey" options, I was able to get
the result I expected. Now the colors are assigned correctly, as well as the
colorkey. Here's my code:
# see data in the original
data$level[is.na(data$level)] <- 10 # assign a value above the scale to NA
values
levelplot(level~ x* y, data = data, as.table=T,
col.regions=c("#FFFFFF", "#FFFFC6", "#FFFF8D", "#FFFF55",
"#FFFF1C", "#FFE200", "#FFAA00", "#FF7100", "#FF3800", "#FF0000",
"#000000"), # 10 colors from white to red through yellow for levels 0 to 9,
plus black for level=10
at=c(-0.5:10.5), # this is how I got colors centered on
integer values
colorkey = list(at = c(-0.5:10.5),
labels=list(at=c(0:10),lab=c(as.character(c(0:9)),"NA"))),
xlab="x", ylab="y", strip = strip.custom(factor.levels=c("date
3")))
I hope this can help somebody else in the future.
-Sebastien
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