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
levelplo
Hi,
Thank you Duncan, you showed me how to assign a specific color NA values in
the levelplot. However, I'm still not satisfied with the result of the code
you provided. In the data frame I provided in the first post, there's one
plant with level=0 (at x=8, y=1), and many other plants have level=1
Hi
If you change the NA to a value either below or above the range of
values you can then use it.
Below is something that is cobbled together from some code I have.
The datacols argument may be necessary if you want to do something
fancy like I was doing
I used my own colours to see if all w
3 matches
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