Inline. Cheers, Bert
Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." H. Gilbert Welch On Wed, May 21, 2014 at 11:26 AM, Boris Steipe <boris.ste...@utoronto.ca> wrote: > Hex-codes are ubiquitously used on the Web - they are a short-hand version of > specifying rgb triplets. The first two digits specify the red value, the > second two are for green, then blue. R accepts a fourth pair of digits to > optionally specify the transparency, the semantics of the code is thus > "#RRGGBB" or "#RRGGBBAA". > > I prefer hex codes because they are compact, and convenient to make up colors > on the fly. But there are many ways to define colors rigorously and then > convert them. > > E.g. if you go with one of the internally defined "named" colors: > R provides col2rgb() to convert different types of colors to rgb values, and > rgb() to convert triplets of rgb values to hex-code. (Since col2rgb creates > rows with values between 0 and 255, and rgb expects columns with intensities > from 0 to 1, you have to transpose and divide). Not strictly true. There's a maxColorValue argument to rgb, so instead of dividing and using the default of 1, you can not divide and and specify the max: > rgb(t(col2rgb("red")),max=255) [1] "#FF0000" > rgb(t(col2rgb("peachpuff")),max=255) [1] "#FFDAB9" > > rgb(t(col2rgb("red"))/255) # "#FF0000" > rgb(t(col2rgb("peachpuff"))/255) # "#FFDAB9" > > But the real advantage is when using color matching and palette tools like: > https://kuler.adobe.com/ > > Or you can extract color palettes from images like here: > http://www.pictaculous.com/ > > Or you can use the "eye-dropper" tool of standard image editing software to > access to color value of a particular pixel, or online here ... > http://html-color-codes.info/colors-from-image/ > http://imagecolorpicker.com/ > > Many options. > Hope this helps, > Boris > > > > On 2014-05-21, at 1:59 PM, Jun Shen wrote: > >> Thanks everyone who replied. >> >> Boris, could you explain a bit more how to obtain this hex-code for a >> specific color? Thanks. >> >> Jun >> >> >> On Wed, May 21, 2014 at 1:37 PM, Boris Steipe <boris.ste...@utoronto.ca> >> wrote: >> ... I just specify alpha values directly in the hex-code for a color: >> >> set.seed(112352) >> plot(runif(20),runif(20), pch=16) >> polygon(runif(3), runif(3), col="#FF000022") >> polygon(runif(3), runif(3), col="#00FF0022") >> polygon(runif(3), runif(3), col="#0000FF22") >> >> B. >> >> >> On 2014-05-21, at 12:05 PM, William Dunlap wrote: >> >> > You can use adjustcolor() to do some of the arithmetic for you. E.g., >> > the following draws red squares with 10 opacities ('alpha's) from 5% >> > to 95%: >> > plot(1:10) >> > square <- 0.45 * cbind(c(-1,1,1,-1),c(-1,-1,1,1)) >> > for(i in 1:10) polygon(square+i, col=adjustcolor("red", alpha=(i-.5)/10)) >> > Bill Dunlap >> > TIBCO Software >> > wdunlap tibco.com >> > >> > >> > On Wed, May 21, 2014 at 8:47 AM, David L Carlson <dcarl...@tamu.edu> wrote: >> >> The standard colors in R are opaque, but you can add an alpha value to >> >> make them semi-transparent. In this example we set alpha halfway between >> >> 0 and 255 to define a semi-transparent red: >> >> >> >>> set.seed(42) >> >>> x <- runif(10)*10 >> >>> y <- runif(10)*10 >> >>> plot(x, y, pch=16) >> >>> col2rgb("red", alpha=TRUE) >> >> [,1] >> >> red 255 >> >> green 0 >> >> blue 0 >> >> alpha 255 >> >>> redtrans <- rgb(255, 0, 0, 127, maxColorValue=255) >> >>> polygon(c(2, 5, 8), c(2, 10, 2), col=redtrans) >> >> >> >> ------------------------------------- >> >> David L Carlson >> >> Department of Anthropology >> >> Texas A&M University >> >> College Station, TX 77840-4352 >> >> >> >> >> >> >> >> >> >> >> >> -----Original Message----- >> >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] >> >> On Behalf Of Jun Shen >> >> Sent: Wednesday, May 21, 2014 10:32 AM >> >> To: R-help >> >> Subject: [R] How to draw a transparent polygon >> >> >> >> Hi everyone, >> >> >> >> How do I draw a transparent ploygon overlaying with a scatter plot? >> >> >> >> Let's say, we call plot() to have a scatter plot, then call polygon() to >> >> add a polygon. I was hoping the polygon can be transparent so the scatter >> >> plot is still visible. I can't find any argument in polygon() for such a >> >> feature. Is there another way to do it? Thanks. >> >> >> >> Jun Shen >> >> >> >> [[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. >> > >> > ______________________________________________ >> > 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. >> > > ______________________________________________ > 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.