similar to: syslinux / pxelinux and color palette.

For many years, when my R process starts up I've been automatically setting my preferred default plot colors, basically like so: my.colors <- c("black" ,"red" ,"gold" ,"sky blue" ,"green" ,"blue" ,"orange" ,"grey" ,"hot pink" ,"brown" ,"sea green" ,"cyan"

I'm having some difficulties pxe booting Solaris. So far I have tried the mboot.c32, and the pxegrub shipped with Solaris. At first I had some problems with blksize, but this disapeared when I changed from atftpd to tftpd-hpa. The point at which I'm stuck now is, the kernel and x86.microroot/x86.miniroot is loaded but then VMWare crashes. I might try with real hardware, but I thought

Dear All, [I'd already sent this message earlier (Apr 6) but as I had no response and I still see that it is the case in R1.5 I thought I'd try again] I recently encountered a problem (actually missed some data) because "white" is one of colours in the "default" palette and that does not show up to well on my transparent (on white background). Of course it is

Hi All, I'm trying trying to draw a colour wheel (a slice of hcl space) in R. Running the code below doesn't give me what I expect - there's some oddly bright colours of the wrong hue around c(0, 0) and I see three coloured circles (a small magenta, a medium sized yellow and a large cyan). Am I doing something wrong or is there a bug in the hcl code? (Also any suggestions for

Dear R support network I have a problem that is driving me crazy. I have a dataframe with about 74000 landscapes which I call "land". A landscape is a 2km -by- 2km square. Land has three columns: land$lat, land$long, and land$description. The last one holds a NON-unique (integer) description of each landscape. There are maybe 100 distinct descriptions. Identifying landscapes that

Are there any R functions for creating palettes for three-way data? For example, election maps for three parties where pure red, blue, and green show 100% for the Red, Blue, and Green parties respectively, magenta shows a 50-50 Red-Blue split with 0 for the Greens, cyan a 50-50 Blue/Green split with no Red votes and so on, with grey, black or white at a 1/3,1/3,1/3 split vote. I've spent a

Dear all, I am new to plotting Taylor Diagram using plotrix package within R, hence this post. I have written a script which plots Taylor Diagram with one reference and 7 model values. However the font size, line width and line type are not clear when saving the diagram as a jpeg file. I tried the functions lty, lwd and font but no apparent change. I am attaching the script here. Any help would

Full_Name: Daniel Egloff Version: 1.2.1 OS: Linux Redhat 7.0 Submission from: (NULL) (212.35.34.200) Externals in the shared library libc.so.6 not found. See the following R session, with the abort message at the end. > demo(graphics) demo(graphics) ---- ~~~~~~~~ Type <Return> to start : > opar <- par(ask = interactive() && (.Device %in%

Hello, I am having difficulty obtaining the correct colors in my R charts. > colors()[c(552, 254, 26)] [1] "red" "green" "blue" But, if I specify col=552 in my barplot, I get gray bars. Likewise, col=254 gives bright pink, and col=26 is a red-orange. I get accurate results when I spell out the names, but I am making a pallet with 20- 30 colors and it is a

Hello all, I want to draw a grid behind my graphes, using lattice package. I manage to do it with instructions like this one : xyplot(Sepal.Length + Sepal.Width ~ Petal.Length , data = iris, allow.multiple = TRUE, scales = "same",type="l", panel = function(...) { panel.grid(h=-1, v= -1) ; panel.superpose(...) } ) I was wondering if there were a way to do it

Dear List, Is there a color palette avaliable similar to what is used in satellite ocean color imagery? I.e. a gradient with blue on one end and red on the other, with yellow in the middle? I have tried topo.colors(n) but that comes out more yellow on the end. I am looking for something similar to what is found on the CoastWatch web page:

dear R experts---I am struggling with the requirements to prepare my files for my printers. I am printing in 2/2 format, which means cyan and black for me, which they take from my color-separated pdf files. R comes into play, because it produces all the figures that are embedded in my book (pdflatex). now, TeX has no problems producing CMYK files. However, R produces RGB files (for

Dear R users- Do the lattice/latticeExtra packages support multiple tileplots with unique colorkeys? I am trying to create a visualization of the encounter rate of certain stocks of salmon across two years. The issue I am having is that some stocks are encountered at much higher rates than others.the high encounter rate for one stock washes out the patterns I'm hoping to visualize across the

Hello, I have a bigger problem in calculating the Maximum Likelihood Estimator regarding the degree of freedom of a multivariate skew-t copula. First of all I would like to describe what this is all about, so that you can understand my problem: I have 2 time series with more than 3000 entries each. I would like to calculate a multivariate skew-t Copula that fits this time series. Notice:

Hi, I have a matrix with both positive and negative numbers, I would like to use image() to draw a heatmap. How can I can design a palette (or is there a function already available) that treat negative numbers in a blue gradient and positive numbers in a red gradient and treat 0 as white? Thanks

Not sure how to describe this or where to point the finger, so I thought I post here before submitting a bug. Wine: 0.9 Application: Titanic Explorer This application is a 'educational' triple CD about Titanic. It is created with macromedia 'director 6' and utilizes QuickTime. It installs fine. Runs fine (needed to disable ddraw on QuickTime) until I try a 'search'.

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

Dear all, I'm generally not a big fan of GUIs, but I have just discovered one thing where a GUI would be a nice thing: creating color palettes. I'm creating an "image", for transparencies for a lecture I'm giving, so this is going to look great... :-) What I'm out for, is to make green tones and red tones, and a relatively sharp break between them. This break will

I will second Roger's suggestion, colorRampPalette is a great function for creating your own palettes. For example, Matlab's jet palette (also available in fields package under peculiar name 'tim.colors') can be defined by: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Hi! I am new to R just 3 days in it and i apologize if my questions seem very trivial and consumed your valuable time. I am coding in perl and i stumbled upon R regarding plotting good statistical graphs. I tried the kmean clustering for a large matrix ,say > 150 * 150 . I tried the example code given in the tutorial to perform 2d plot # i ranges from 2 to 10 cl <- kmeans(x, i, 20)