Thanks everyone for the great responses! The

col = c("grey", "black", rainbow(50) )

idea was the easiest for me to figure out how to implement, but the others look like the can do what I want as well. Thanks so much for the help!

Regards,

Daniel

Warnes, Gregory R. wrote:
You can assemble a list of colors manually to do what you want.
Something like:

col = c("grey", "black", rainbow(50) )

ought to do the trick.


-G

Hello there! I'd just like to say in advance, "Thank you," for any
help and/or
advice.

My problem is as follows:

I have a dataset that is made up of percentages. I've assigned my
"error"
percentages a value of '-100', my "non-existent" percentages a value
of '0',
and all my other percentages are normal values that range from the
high 60's to
100. I would like to create a heatmap that designates my "error"
values as
gray, my "non-existent" values as black, and I would like to to have
the rest
of my values, say 50 to 100, as a rainbow-type spectrum (like the
palette
"Spectral" in RColorBrewer, except with 50 values).

I've tried using breaks, and then implementing the breaks in my
heatmap.2
command. The breaks work just fine. I guess what I want to control is
the range
of the:

col=(colorpanel(#, low="color1", mid="color2", high="color3"))

command. Is there any way to set more values than "low," "mid," and
"high?" If
that is possible I think it would solve my problem. I've looked over
the
documentation and searched over previous color/heatmap-related
questions, but
haven't come across anything that points me in the right direction.

Please let me know if any of what I said needs clarifying before you
can give
me what you feel is an appropriate response. Thanks again for your
time.
Regards,

Daniel

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Thomas Lumley                   Assoc. Professor, Biostatistics
[EMAIL PROTECTED]       University of Washington, Seattle

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