similar to: Plotting a grid of directly specified colours

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

I'm working with the following code below to generate a how do I set the h,c, and l values such that the significant, positive residuals appear different on a grayscale printer from significant grayscale residuals. The challenge as I see it is that one can only distinguish the positive and negative residuals with the hue/. Varying the chroma and the luminance only affect the

On Fri, 4 Jun 2004, Makc wrote: > Here's what you can find in the net on YUV scheme: Hmm? What prompted this? > The statement I care to make here, is simply that there ain't neither > such thing as "luminance", which details "the eye is more sensitive to", "ain't neither"? Double negative, so I take your statement to mean that there *is* such

Suppose we start with data("Titanic") mosaic(Titanic, shade = TRUE) How do I combine the dashed box contours of shading_Friendly to indicate negative residuals, with three levels of gray: dark for abs(Pearson Resid) > 4, lighter for 4 > abs(Pearson Resid) > 2, and lightest for bs(Pearson Resid) < 2 ? Thanks, Michael ______________________________________________

http://bugs.freedesktop.org/show_bug.cgi?id=21869 Summary: Chroma mismatch using XV Product: xorg Version: 7.4 Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org ReportedBy:

I've spent the weekend or so trying to get my head around Theora and I'm just not having any luck. First of all, I really don't have any interest in immersing myself in video encoding--I just have one simple thing I'd like to do--so I haven't spent any time reading about the theory or specs or anything like that. I'm attempting to write a "render-to-theora"

Unwanted space (padding?) is introduced at the extremes of the x and y axes of my lattice plots. I've tried defining the scales using xlim, scale and num.limits in x.scale.components, but haven't succeded in getting overriding the introduction of extra space. Here's the problem:

Hello everyone I am struggling with hcl(). It says on the manpage that "240 yields blue". With this: plot(1:50,pch=16,col=hcl(h=240, c=50, l=1:50)) I get mostly blue, but also some red, dots. Note that h=240 throughout. If 240 is blue, how come there's a red dot there? Or is it just my monitor? Can some colour expert help me on this? -- Robin Hankin Uncertainty Analyst

Hi, I hope to show a heatmap with thre colours, no gradation. How to specify heatmap.2 to map "green" for values less than -1, "gray" for values between -1 and 1, and "red" for values greater than 1 ? Thanks [[alternative HTML version deleted]]

Everyone, I'm working with scatter plots with different colored symbols (via lattice). I'm currently using these colors for points and lines: col1 <- c(rgb(1, 0, 0), rgb(0, 0, 1), rgb(0, 1, 0), rgb(0.55482458, 0.40350876, 0.04166666), rgb(0, 0, 0)) plot(seq(along = col1), pch = 16, col = col1, cex = 1.5) I'm also using these with transparency (alpha

Dear r-helpers, I wonder whether, given the "#rrggbb" representation of a colour, there is a simple way to select the complementary colour, also expressed as a "#rrggbb" string. Any suggestions would be appreciated. John -------------------------------- John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604

Hi. I want to use image() with colours that are indexed by two variables. Indexing by one variable is easy: library(colorspace) x <- seq(from=0, to=1,len=30) z <- outer(x,1i*x,"+") image(Re(z),col=hcl(seq(from=0,to=100,len=15),c=100)) OK, so far so good. Now, I want the colour to be a more complicated function of z, in which both the hue and luminance change (thus the colours

Dear R users, I am trying to print heatmaps in a loop (with a pause). Idea is to visualize changing correlations over time and for testing I wrote this simple (reproducible) code below. My problem is that levelplot() does not produce any output when I run the code (though heatmap does). Ideally I would like to use levelplot() as it produces a neat index on the side indicating the color and the

Hi List, Just batting a few ideas around here, but would it be possible to include in to the codec, estimation for common video artifacts that occur in the analogue world? For example, anything that's gone through a composite stage will likely have dot-crawl and false colour - if we can recognise this effect in the encoder, we can treat it as a special case. Other artifacts that come to

On 05/04/2017 04:00 AM, Pierre Moreau wrote: > Hello, > > Acceleration for Pascal cards is coming in Linux 4.12, support for Pascal cards > in xorg-video-nouveau is in 1.0.15, and if I remember correctly, on the > Mesa-side, you will need >=17.0. Thanks - I suspected it was too new. I'm finding the monitor capabilities miss identified even if I use an older card - I'm

Hi there, as I'm not sure to understand the coloring levelplot uses, I'm looking for another easy way to create a heatmap like this: library(lattice) mat <- matrix(seq(1,5, length.out = 12), nrow = 3) mat[1,2] <- 3.5 my.at <- seq(0.5,5.5, length.out = 6) my.col.regions <- rainbow(5) graph <- levelplot(t(mat[nrow(mat):1, ] ), at = my.at, col.regions = my.col.regions)

Hello! I have data containing a large number of probabilities (about 60) of nonzero coefficients to predict 10 different independent variables (in 10 different BMA models). i've arranged these probabilities in a matrix like so: (IV1) (IV2) (IV3) ... p(b0) p(b0) p(b0) p(b1) p(b1) p(b1) p(b2) p(b2) p(b2) ... where p(b1) for independent variable 1 is p(b1 !=

Hi all, I'm trying to generate barplots from simple but long (~100000-row) data files, in which each bar will comprise two stacked 'sub-bars'. All the upper sub-bars will have the same hue, and all the lower bars will, likewise, have another uniform hue. However, I wish to specify the luminance (aka brightness) of each bar (i.e., each whole bar comprising two sub-bars) separately,

Hello, please see below my code for a heatmap. Unfortunately my column names do not completely appear. Can you please send me the appropriate code to visualise them? Many Thanks! Nils library(GMD) dat<-data.frame(EntryA=as.numeric(c(4.24,3,1.66,1.28,1.2,-1.32,-1.88)), EntryB=as.numeric(c(4.16,4.82,-1.82,-3.02,0.99,1.1,-3.31)))

In an R graphic, I'm using cond.col <- c("green", "yellow", "red") to represent a quantitative variable, where green means 'OK', yellow represents 'warning' and red represents 'danger'. Using these particular color names, in B/W, red is darkest and yellow is lightest. I'd like to find color designations to replace yellow and