I was probably a bit obscure and should have written "convert your 0-255 values to 0-1". As Bert notes, you can't get a sensible ternary plot if your values do not sum to 1. scatterplot3d does a pretty good job, if you run the example.
Jim On Wed, Dec 19, 2018 at 3:26 PM Bert Gunter <bgunter.4...@gmail.com> wrote: > > 3-d Proportions must sum to 1and are thus actually 2-d and should preferaby > be plotted as a ternary plot. Several r packages will do this for you, e.g. > package Ternary. Search "ternary plots" on rseek.org for others. > > -- Bert > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Tue, Dec 18, 2018 at 3:10 PM Jim Lemon <drjimle...@gmail.com> wrote: >> >> Hi Tasha, >> I may be right off the track, but you could plot RGB proportions on a >> 3D plot. The easiest way I can think if would be to convert your 0-255 >> values to proportions: >> >> rgb_prop<-read.table(text="Red Green Blue pct >> 249 158 37 56.311 >> 249 158 68 4.319 >> 249 158 98 0.058 >> 249 128 7 13.965 >> 249 128 37 12.87 >> 188 128 37 0.029 >> 249 128 68 0.161 >> 188 128 68 0.015 >> 188 98 7 0.029 >> 219 128 7 2.773 >> 219 128 37 2.583 >> 188 98 68 0.058 >> 219 128 68 0.525 >> 249 188 37 0.876 >> 249 188 68 1.08 >> 219 98 7 0.482 >> 249 188 98 0.015 >> 249 158 7 3.852",header=TRUE) >> rgb_prop$Red<-rgb_prop$Red/255 >> rgb_prop$Green<-rgb_prop$Green/255 >> rgb_prop$Blue<-rgb_prop$Blue/255 >> library(scatterplot3d) >> scatterplot3d(rgb_prop[,1:3],cex.symbols=sqrt(rgb_prop[,4]), >> color=rgb(rgb_prop[,1],rgb_prop[,2],rgb_prop[,3]),pch=19) >> >> then plot the RGB values on a 3D scatterplot. I have included >> arguments to make the symbols the actual RGB colors that you specify >> and their size proportional to the square root of the percentages. >> >> Jim >> >> On Wed, Dec 19, 2018 at 5:17 AM Tasha O'Hara <tasha.eil...@gmail.com> wrote: >> > >> > Hello, >> > >> > I am trying to plot specific rgb color proportions of a marine specimen in >> > a stacked plot using R and I was looking for some help. I have several >> > rgb proportions per specimen (an example of one is below). I've run into >> > different examples of people using vegan or grDevices. Can anyone help with >> > this? >> > >> > Red Green Blue % >> > 249 158 37 56.311 >> > 249 158 68 4.319 >> > 249 158 98 0.058 >> > 249 128 7 13.965 >> > 249 128 37 12.87 >> > 188 128 37 0.029 >> > 249 128 68 0.161 >> > 188 128 68 0.015 >> > 188 98 7 0.029 >> > 219 128 7 2.773 >> > 219 128 37 2.583 >> > 188 98 68 0.058 >> > 219 128 68 0.525 >> > 249 188 37 0.876 >> > 249 188 68 1.08 >> > 219 98 7 0.482 >> > 249 188 98 0.015 >> > 249 158 7 3.852 >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> > 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 -- To UNSUBSCRIBE and more, see >> 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 -- To UNSUBSCRIBE and more, see 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.