Re: [R] alternatives to RColorBrewer?
Andrew Yee andrewjyee at gmail.com writes: I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Assume you want 40 colors, get a basic color palette from RcolorBrewer, and use colorRampPalette to interpolate # Brewer palette Paired 12 pal12 = c(#A6CEE3, #1F78B4, #B2DF8A, #33A02C, #FB9A99, #E31A1C, #FDBF6F, #FF7F00, #CAB2D6, #6A3D9A, #99, #B15928) colorRampPalette(pal12)(40) Dieter __ R-help@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.
Re: [R] alternatives to RColorBrewer?
On Thu, 24 Apr 2008, Andrew Yee wrote: I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Package vcd implements several palette generators in HCL space which are somewhat similar to the palettes in ColorBrewer but provide some more flexibility. The underlying ideas are explained here http://epub.wu-wien.ac.at/dyn/openURL?id=oai:epub.wu-wien.ac.at:epub-wu-01_c87 See also help(rainbow_hcl, package = vcd) which has a few more examples. However, I guess that it will be hard to select a qualitative palette with 18 distinct colors...I couldn't imagine a plot where it would be sufficiently easy for humans to decode that. But maybe you can combine that with some sequential or diverging palette or so? Best, Z Thanks, Andrew [[alternative HTML version deleted]] __ R-help@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. __ R-help@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.
Re: [R] alternatives to RColorBrewer?
Great, thanks, that was helpful. Andrew On Thu, Apr 24, 2008 at 2:15 PM, Achim Zeileis [EMAIL PROTECTED] wrote: On Thu, 24 Apr 2008, Andrew Yee wrote: I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Package vcd implements several palette generators in HCL space which are somewhat similar to the palettes in ColorBrewer but provide some more flexibility. The underlying ideas are explained here http://epub.wu-wien.ac.at/dyn/openURL?id=oai:epub.wu-wien.ac.at:epub-wu-01_c87 See also help(rainbow_hcl, package = vcd) which has a few more examples. However, I guess that it will be hard to select a qualitative palette with 18 distinct colors...I couldn't imagine a plot where it would be sufficiently easy for humans to decode that. But maybe you can combine that with some sequential or diverging palette or so? Best, Z Thanks, Andrew [[alternative HTML version deleted]] __ R-help@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. [[alternative HTML version deleted]] __ R-help@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.
Re: [R] alternatives to RColorBrewer?
Achim Zeileis Achim.Zeileis at wu-wien.ac.at writes: However, I guess that it will be hard to select a qualitative palette with 18 distinct colors...I couldn't imagine a plot where it would be sufficiently easy for humans to decode that. But maybe you can combine that with some sequential or diverging palette or so? I slightly disagree here. In many cases, in color-coded surface plots, you do not want to attribute the colors to, let's say, altitudes, but rather use the color transitions as contour lines without explicitly drawing contours. You could also use continuous colors, but it is amazing how this fails, while something like 25 colors looks good. Dieter __ R-help@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.
Re: [R] alternatives to RColorBrewer?
On Thu, 24 Apr 2008, Dieter Menne wrote: Achim Zeileis Achim.Zeileis at wu-wien.ac.at writes: However, I guess that it will be hard to select a qualitative palette with 18 distinct colors...I couldn't imagine a plot where it would be sufficiently easy for humans to decode that. But maybe you can combine that with some sequential or diverging palette or so? I slightly disagree here. In many cases, in color-coded surface plots, you do not want to attribute the colors to, let's say, altitudes, but rather use the color transitions as contour lines without explicitly drawing contours. You could also use continuous colors, but it is amazing how this fails, while something like 25 colors looks good. I think it depends a lot on what you want to bring out in such a graphic. Qualitative palettes will convey the impression of different groups in the data so that distinction of various levels is easier but the impression of an underlying smooth curve is often lost. However, if you use a sequential palette, the smoothness is conveyed much better and it is easy to identify the peaks but much harder to compare other levels of your curve. (Re: my original comment. What I meant was that it would be challenging to decode some truly categorical data, i.e., without an underlying continuous scale, with 18 levels from a qualitative palette with 18 different colors.) Best, Z Dieter __ R-help@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. __ R-help@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.
