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]]
I can't figure out what message you are hoping to convey in your plot from your posting... what are you comparing to what? Comments like "I've run into different examples of people using vegan (an analysis package with some diagnostic display functionality) or grDevices (a package supporting different device and graphic file formats)" fail to inform us as to where we can catch up with your reading or whether you liked what they did or not. Is there some missing analysis step or do you just want to present the raw data? Even a hand drawn sketch in PNG format would be some improvement in clarity. Note that this is the wrong place to ask for help on theory... if you want to know what type of analysis you should attempt then you came here too soon... this is where we try to help you apply R to the problem once you know what your analysis strategy will be. On December 18, 2018 9:17:24 AM PST, Tasha O'Hara <tasha.eileen at 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 at 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.-- Sent from my phone. Please excuse my brevity.
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.eileen at 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 at 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.
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 <drjimlemon at 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.eileen at 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 at 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 at 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. >[[alternative HTML version deleted]]