Thanks,
This helps me going on.
The description in "complementary {colortools}" was/is somehow
misleading:
"Complementary or opposite color scheme is formed by colors that are
opposite each other on the color wheel (example: red and green)."
Atte T.
>/ On 25 Jul 2015, at 21:49 , Atte Tenkanen <attenka at utu.fi
<https://stat.ethz.ch/mailman/listinfo/r-help>> wrote:
/>/
/>/ Hi,
/>/
/>/ I have tried to find a way to find opposite or complementary colors in
R.
/>/
/>/ I would like to form a color circle with R like this
one:http://nobetty.net/dandls/colorwheel/complementary_colors.jpg
/>/
/>/ If you just make a basic color wheel in R, the colors do not form
complementary color circle:
/>/
/>/ palette(rainbow(24))
/>/ Colors=palette()
/>/ pie(rep(1, 24), col = Colors)
/>/
/>/ There is a package ?colortools? where you can find function opposite(),
but it doesn?t work as is said. I tried
/>/
/>/ library(colortools)
/>/ opposite("violet") and got green instead of yellow and
/>/
/>/ opposite("blue") and got yellow instead of orange.
/>/
/>/ Do you know any solutions?
/
Not directly, but a few hints:
First read up on "complementary colors" in Wikipedia. In particular,
note that the traditional color circle does not satisfy the modern definition of
opposite-ness. E.g. red paint mixed with green paint is brown, not black or
grey.
The construction of the color circle is simple in principle: red, blue, yellow
go at 0, 120, 240 degrees, the other colors on the circle are formed by mixing
two primaries in varying proportions: green (at 180 deg) is an equal mixture of
blue and yellow, violet (at 60 deg) of blue and red, orange (at 300 deg) of red
and yellow. Blue-green (at 150 deg) would be half blue, half green, alias three
quarter blue, one quarter yellow. Etc.
The tricky bit is that the above mixtures are subtractive mixtures (mixing paint
rather than light beams) and I don't know how to make a subtractive color
mixture in the additive RGB space that we usually work in. Maybe there are tools
in the colortools package?
-pd
>/
/>/ Atte Tenkanen
/>/
/>/ ______________________________________________
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email:pd.mes at cbs.dk <https://stat.ethz.ch/mailman/listinfo/r-help>
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