similar to: CMYK color space

Please do study the FAQ and posting guide: R 2.7.0 is not the current sources, and this was changed a month ago in R-devel. You were asked to check for such changes before submitting a report. Also, there is no unique way to do undercover removal in conversion to CMYK, and so it is wrong to call any method 'wrong' -- in fact the one used in earlier versions of R was a documented

Hi We are about to publish a book, which contains figures made with R plots. An important detail that we did not take into account is that the book will not be printed in 4 colors (cmyk mode), but only 2 (black +"spotcolor"). The spotcolor we use is part of the big Pantone family. The problem is that both pdf() and postscript() offer either rgb or cmyk, but no spotcolors such as

hi! I would like to produce simple black and white postscript figures for publishing. A black/white or grayscale or CMYK colormodel can be used, but not RGB colours. Can I produce postscript graphs in R that satisfy this? Following an earlier advice on the help-list I have tried using Photoshop to convert - but this seems to convert the vector format into raster format - giving larger,

My goal is to create a graph with one column and three rows into a single graphic. The mfrow, mfcol, and layout functions all have the same effect: three graphs are produced in a single pdf file, having one graph per page. This is not what I want (I didn't want multiple pages). Just before I sent this post, I was able to generate the desired output with split.screen. Is this the expected

I'm trying to create figures in PDF that use the 'gray' colormodel instead of the default 'RGB' model, by requirements of a publisher. My problem has to do with the fact that I'm not being able to get gray colors with this option on the pdf() driver. Here is a small example for problem replication: > R.version _ platform

The conversion of RGB to CMYK takes place in PostScriptSetCol() starting at line 2900 of R-2.7.0/src/library/grDevices/src/devPS.c if(strcmp(mm, "cmyk") == 0) { double c = 1.0-r, m=1.0-g, y=1.0-b, k=c; k = fmin2(k, m); k = fmin2(k, y); if(k == 1.0) c = m = y = 0.0; else {c /= (1.-k); m /= (1.-k); y /= (1.-k);} r, g, and b have already been normalized to the

As part of my GSoC project I have to work out a spec that covers how applications should communicate color management related properties between each other and the compositing manager. The main idea of the project is to let the compositing manager do the color management on behalf of the applications. But before that can happen, the applications have to tell the compositing manager how they want

The byte pixies have rolled up R-2.13.2.tar.gz at 9:00 this morning. This is intended to be the final release of the 2.13 series, for the benefit of those apprehensive of putting 2.14.x into production use. The run-in for 2.14.0 starts on Monday, with a planned release on Oct 31 (The Great Pumpkin Man Release). You can get it from http://cran.r-project.org/src/base/R-2/R-2.13.2.tar.gz or wait

The byte pixies have rolled up R-2.13.2.tar.gz at 9:00 this morning. This is intended to be the final release of the 2.13 series, for the benefit of those apprehensive of putting 2.14.x into production use. The run-in for 2.14.0 starts on Monday, with a planned release on Oct 31 (The Great Pumpkin Man Release). You can get it from http://cran.r-project.org/src/base/R-2/R-2.13.2.tar.gz or wait

Dear Erich and John, thankyou for providing RColorBrewer! Are you working on options for CMYK or RGB return values? Thanks again, Darren [[alternative HTML version deleted]]

Context: Windows XP, R 1.8.1 I'm studying Venables-Ripley "MASS" book and having a go at the many examples in library MASS. The code I'm checking (from script ch04.R) now is ...... data(swiss) splom(~ swiss, aspect = "fill", panel = function(x, y, ...) { panel.xyplot(x, y, ...); panel.loess(x, y, ...) } ) which produces an agreable plot with a gray

I'm trying to convert my image so that the colors will remain the same after I do a clear screen. What I would like to make is a palette for gimp which I then could use too convert my images, thus achieving my goal :) I have found a list in which order the colors seems to be arranged. 0 = black 8 = dark grey 1 = dark blue 9 = bright blue 2 = dark green a =

Hello all. A Journal we are sending an article to is asking for the following: To ensure the best reproduction quality of your figures we would appreciate high resolution files. All figures should preferably be in TIFF or EPS format... and should have the following resolution: Graph: 800 - 1200 DPI Photo: 400 - 800 DPI Color (only CMYK): 300 - 400 DPI (DPI = dots per inch) Since I am sending

A recent article in the earth science literature cited below and available at http://geography.uoregon.edu/datagraphics/EOS/ points out that rainbow color schemes and mixtures of green and yellow can be troublesome for people with color-deficient vision. The authors propose alternative schemes that can be viewed and downloaded in RGB, HSV, CMYK, and RGB256 formats from

dear r-helpers, it seems the colors in an automatically generated lattice legend recycle after the 8th color, even when the user has set e.g. superpose.symbol$col to be longer than 8. the following example will illustrate what i mean: z <- data.frame(x=rep(letters[1:15], each=4), y=rnorm(60), groups=rep(LETTERS[1:3], 20)) library(nlme) library(lattice) plot(groupedData(y ~ x |

Dear R users,, I'm having difficulties when i use the gstat extensions in R especially with the graphical interface, as the variograms plots are depicted with gray background and cyan points for the number of pairs, Consequently the fitted variogram is drawn in cyan, How can i change that so i could have, white background and black lines for the fitted variogram, for the complete plot.

Dear all, I have been trying to speed up a process we have been done in ArcGIS. We have to read a single layer TIFF (monochrome image) in . For this, I have used the "rtiff" package. After reading the TIFF file, I compared the raw values for each pixel that I have in ArcGIS to the ones obtained in R. In ArcGIS I have discrete values in the range 0..255, while in R I have continuous

I installed package plotrix because reading its vignette it looks like it can help me solve a "legend" problem. The package instaleed correctly on my Mac OS/X 10.5.8 But I cannot reproduce the examples centered on function "lgendg". > library(plotrix) > plot(0.5,0.5,xlim=c(0,1),ylim=c(0,1),type="n", + main="Test of grouped legend function") >

I have just learned how to play with map, but something weird (or not) is happening. Suppose I want to draw a map of two countries (that have disconnected components), like Argentina and Brazil. If I command: library(maps) library(mapdata) map("worldHires", c("Argentina", "Brazil")) It works fine. However, if I want to _colour_ the interior:

I have made some modifications to the X11 graphics driver so that it is more flexible about its use of colors. I have added a new parameter to the X11/x11 function which controls this. The parameter is currently called "colormodel" and works as follows: colormodel = 0 Monochrome graphics colormodel = 1 Grayscale (256 shades) colormodel = 2 Pseudocolor1 colormodel = 3