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Have a look at bpy.colors()
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx at inbo.be
www.inbo.be
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experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure
that a reasonable answer can be extracted from a given body of data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens David Studer
Verzonden: dinsdag 5 maart 2013 11:56
Aan: r-help at r-project.org
Onderwerp: [R] Color spalettes for black/white printing
Hi everybody!
Does anyone know a good way to color my images so that when I print them out on
a non-color-printer the colors used can be distinguished well? As I have many
categories I would not want to assign the colors c("black",
"grey", "white") by hand.
Thank you!
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On Tue, 5 Mar 2013, David Studer wrote:> Hi everybody! > > Does anyone know a good way to color my images so that > when I print them out on a non-color-printer the colors used > can be distinguished well? As I have many categories I would > not want to assign the colors c("black", "grey", "white") by > hand.The "colorspace" package provides a wide range of colors that - when printed on a grayscale printer - still preserve an increasing/decreasing gray palette. To explore these, see choose_palette() in "colorspace" which opens a GUI, let's you play around with the palettes, see them in example displays, and also let's you collapse them to gray colorse (option: desaturate). Furtheremore, you can explore the effects of different types of color blindness (provided that the "dichromat" package is installed). Best, Z> Thank you! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >