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Bert Gunter

2018-Dec-19 04:26 UTC

[R] Plotting rgb proportions in R

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]]

Jim Lemon

2018-Dec-19 06:17 UTC

head link

[R] Plotting rgb proportions in R

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.4567 at 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 <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.

PIKAL Petr

2018-Dec-19 10:28 UTC

head link

[R] Plotting rgb proportions in R

Hi
> -----Original Message-----
> From: R-help <r-help-bounces at r-project.org> On Behalf Of Bert
Gunter
> Sent: Wednesday, December 19, 2018 5:26 AM
> To: Jim Lemon <drjimlemon at gmail.com>
> Cc: R-help <r-help at r-project.org>
> Subject: Re: [R] Plotting rgb proportions in R
>
> 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.
From which I would recommend ggtern. Sometimes a bit tricky but quite handy,
especially when you consider some grouping.

Cheers
Petr
>
> -- 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]]
>
> ______________________________________________
> 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.Osobn? ?daje: Informace o zpracov?n? a ochran? osobn?ch ?daj? obchodn?ch
partner? PRECHEZA a.s. jsou zve?ejn?ny na:
https://www.precheza.cz/zasady-ochrany-osobnich-udaju/ | Information about
processing and protection of business partner?s personal data are available on
website: https://www.precheza.cz/en/personal-data-protection-principles/
D?v?rnost: Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a
podl?haj? tomuto pr?vn? z?vazn?mu prohl??en? o vylou?en? odpov?dnosti:
https://www.precheza.cz/01-dovetek/ | This email and any documents attached to
it may be confidential and are subject to the legally binding disclaimer:
https://www.precheza.cz/en/01-disclaimer/

Jim Lemon

2019-Jan-03 01:55 UTC

head link

[R] Plotting rgb proportions in R

Hi Tasha,
Using the original sample you sent:

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
# the matrix format forces the stacked bar display
barplot(matrix(rgb_prop$pct,ncol=1),
 col=rgb(rgb_prop[,c("Red","Green","Blue")]),beside=FALSE)

Of course you can add more stacks by increasing the number of columns in
the "x" matrix.

Jim

On Thu, Jan 3, 2019 at 3:33 AM Tasha O'Hara <tasha.eileen at
gmail.com> wrote:
> I apologize for the late reply after the holidays. I really appreciate all
> the data visualization suggestions. The scatterplot works very well, but I
> do have >400 specimen with at least 5-20 colors each, so a stacked
> barchart of each specific color proportion would be most useful to show
> uniformity within each specimen. Below is an example of what I would like
> to do, but instead of generic colors, I am hoping to plot the actual RGB
> proportions for each.
> [image: image.png]
>
> On Wed, Dec 19, 2018 at 5:28 AM PIKAL Petr <petr.pikal at
precheza.cz> wrote:
>
>> Hi
>>
>> > -----Original Message-----
>> > From: R-help <r-help-bounces at r-project.org> On Behalf Of
Bert Gunter
>> > Sent: Wednesday, December 19, 2018 5:26 AM
>> > To: Jim Lemon <drjimlemon at gmail.com>
>> > Cc: R-help <r-help at r-project.org>
>> > Subject: Re: [R] Plotting rgb proportions in R
>> >
>> > 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.
>>
>> From which I would recommend ggtern. Sometimes a bit tricky but quite
>> handy, especially when you consider some grouping.
>>
>> Cheers
>> Petr
>>
>> >
>> > -- 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]]
>> >
>> > ______________________________________________
>> > 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.
>> Osobn? ?daje: Informace o zpracov?n? a ochran? osobn?ch ?daj?
obchodn?ch
>> partner? PRECHEZA a.s. jsou zve?ejn?ny na:
>> https://www.precheza.cz/zasady-ochrany-osobnich-udaju/ | Information
>> about processing and protection of business partner?s personal data are
>> available on website:
>> https://www.precheza.cz/en/personal-data-protection-principles/
>> D?v?rnost: Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou
>> d?v?rn? a podl?haj? tomuto pr?vn? z?vazn?mu prohl??en? o vylou?en?
>> odpov?dnosti: https://www.precheza.cz/01-dovetek/ | This email and any
>> documents attached to it may be confidential and are subject to the
legally
>> binding disclaimer: https://www.precheza.cz/en/01-disclaimer/
>>
>>
	[[alternative HTML version deleted]]

Tasha O'Hara

2019-Jan-04 02:49 UTC

head link

[R] Plotting rgb proportions in R

That works! Thank you so much for for help!

On Wed, Jan 2, 2019, 19:56 Jim Lemon <drjimlemon at gmail.com wrote:
> Hi Tasha,
> Using the original sample you sent:
>
> 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
> # the matrix format forces the stacked bar display
> barplot(matrix(rgb_prop$pct,ncol=1),
> 
col=rgb(rgb_prop[,c("Red","Green","Blue")]),beside=FALSE)
>
> Of course you can add more stacks by increasing the number of columns in
> the "x" matrix.
>
> Jim
>
> On Thu, Jan 3, 2019 at 3:33 AM Tasha O'Hara <tasha.eileen at
gmail.com>
> wrote:
>
>> I apologize for the late reply after the holidays. I really appreciate
>> all the data visualization suggestions. The scatterplot works very
well,
>> but I do have >400 specimen with at least 5-20 colors each, so a
stacked
>> barchart of each specific color proportion would be most useful to show
>> uniformity within each specimen. Below is an example of what I would
like
>> to do, but instead of generic colors, I am hoping to plot the actual
RGB
>> proportions for each.
>> [image: image.png]
>>
>> On Wed, Dec 19, 2018 at 5:28 AM PIKAL Petr <petr.pikal at
precheza.cz>
>> wrote:
>>
>>> Hi
>>>
>>> > -----Original Message-----
>>> > From: R-help <r-help-bounces at r-project.org> On Behalf
Of Bert Gunter
>>> > Sent: Wednesday, December 19, 2018 5:26 AM
>>> > To: Jim Lemon <drjimlemon at gmail.com>
>>> > Cc: R-help <r-help at r-project.org>
>>> > Subject: Re: [R] Plotting rgb proportions in R
>>> >
>>> > 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.
>>>
>>> From which I would recommend ggtern. Sometimes a bit tricky but
quite
>>> handy, especially when you consider some grouping.
>>>
>>> Cheers
>>> Petr
>>>
>>> >
>>> > -- 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]]
>>> >
>>> > ______________________________________________
>>> > 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.
>>> Osobn? ?daje: Informace o zpracov?n? a ochran? osobn?ch ?daj?
obchodn?ch
>>> partner? PRECHEZA a.s. jsou zve?ejn?ny na:
>>> https://www.precheza.cz/zasady-ochrany-osobnich-udaju/ |
Information
>>> about processing and protection of business partner?s personal data
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>>> https://www.precheza.cz/en/personal-data-protection-principles/
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	[[alternative HTML version deleted]]

R help - Jan 2019 - Plotting rgb proportions in R

[R] Plotting rgb proportions in R

[R] Plotting rgb proportions in R

[R] Plotting rgb proportions in R

[R] Plotting rgb proportions in R

[R] Plotting rgb proportions in R