similar to: Changing Color Mappings

Hello everyone, I am currently using the mvpart package and would like to change the color scheme it uses, and was hoping someone could help me out. All of the papers I have found have used a grayscale but I can't seem to figure out how they did that! Currently, mvpart plots barplots in a repeating sequence of 3 shades of blue. So if you have 6 response variables the same shade of blue is used

The various register access wrappers in nouveau_hw.h are so noisy when drm.debug > 0, that some of them can overflow the kernel message buffer. Add nouveau.ko parameter 'reg_debug', a bitmask that enables each of the wrapper debug messages individually. By default, nothing is printed. Signed-off-by: Pekka Paalanen <pq at iki.fi> --- drivers/gpu/drm/nouveau/nouveau_drv.c | 6

I am trying to create a topographic map of an island - the filled.contour function works fine except i am experiencing difficulty trying to represent the sea properly. Basically I want the default colour blue for any instance where z=0, if I simply use the default topo.color I get shades of blue for z values up to 220 metres. Is there a way in which I can specify terrain.color for all values of

I want to get a lighter shade of a color...I have a lot of colored objects and want each one printed as a foreground against a slightly lighter background. I thought I could try something like changing the alpha channel by first converting it to rgb. But prior to trying that, I'm stuck with how to get the color after converting using col2rgb() to be interpreted again as a color, rather than

Dear R users, I'm currently trying to make level plots of a longitudinal study of the spatio-temporal spread of a plant disease in a field, but the results of the color key assignment isn't what I expect. Here's more info. I recorded the level of a disease on an ordinal scale from 0 (no disease) to 9 (dead plant) on a grid that has 9 rows and 14 columns. The disease level on each

Hi I would like to produce a red shading I figured the easiest way to do that would be to use rgb in the following way: a <- seq(0,0.9,by=0.1) redshade <- rgb(red=1,green=a, blue=a) However, I don't really know how to plot things using hexadecimal colors. I used a function which tries to find the closest color to the rgb shades but it didn't work very well. Any

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

Dear list, I am trying to plot a barchart (from lattice) in B & W, with 10 categories per bar. It seems that the colours are recycled after reachingcategory number 7, which creates a problem interpreting the chart. I therefore have two questions: 1) How do I get more shades? 2) Does anyone have a theme to share with me with distinctive shades in Black & White? Thankful for all the

The gray (level) function returns different shades of gray, where level is a vector of numbers ranging from 0 to 1.? 0 is white and 1 is black and everything in between is a shade of gray. Is there a function that will let me choose two different colors?? For example, a 0 might be blue and 1 might be red and in between might be a mix. Jeffrey

Hi, I have a qplot like the one in the minimal example below, except I also have faceting like this: qplot(jitter(Goodall),jitter(Better.adapt),colour=Second.adapt,facets=~Pol,data=d1) and with the real data I get quite a lot of overplotting, so I would like to add an alpha channel. In addition, I would like to be able to control which colors are used for each value of Second.adapt (which

I created this graph in ggplot and added ablines to the different facets by specifying with subset commands. As you might see, there are still a few issues. 1.) I would like to have the diamonds in a grey scale instead of colors. I accomplished this (see graph 2) until I overwrote the label title for the treatments and the colors came back (graph 1). I used these two commands: p=ggplot(data =

Config from here http://lists.xensource.com/archives/html/xen-users/2010-03/msg00878.html work and my PC boot until switch in GUI mode. When start X display off and no signal, but server working and receive ssh connection. How can I make GUI work ? _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Hi, I'm sure this should be fairly simple to do but I haven't found an example. I have 10 data points which are plotted as a line, I want to shade under this line with a colour. Other examples have shading under curves where there are two sets of data use polygons. mydata <- c(268,251,254,250,244,246,247,243,241,243) plot(mydata, type="o")

I need to make a graphic to show problems on different parts of chromosomes (think of a graphic showing the number of frayed threads as colors along different parts of a worn out rope). I want to draw bars going from left to right across a page and color different parts of the bars in different shades. Each graphic will need to have several bars of different lenghts corresponding to the

Sylvain CANOINE wrote: > Could you share your whole Xorg.0.log ? Do you use a custom xorg.conf, or > custom xorg.conf.d files ? Opensource Ati driver, ou proprietary blobs ? Thank you for your interest. I am running CentOS-7 installed from CentOS-7-x86_64-LiveKDE-1503.iso and later upgraded to CentOS-7.2. The only packages I have installed have been from CentOS and Epel repos. I'm sure

On 16 October 2015 at 15:17, Robinson, Paul <Paul_Robinson at playstation.sony.com> wrote: > But if > there are new fails, the blame mailer can do a set-difference and report > only the new ones. That would reduce the noise a bit, hmm? Hi Paul, The danger there is that it'd be easier to "get used" to having some failures as long as you don't have "new"

Hello, I am trying to plot SADIE red-blue plots of cluster indicies using filled.contour. I want a plot which only has three bins for the data: <-1.5, -1.5 - 1.5, >1.5, but I am having trouble getting there. example X1 X2 X3 X4 X5 1 -5 -4.5 1.0 4.5 6 2 -3 -2.0 1.2 -1.0 3 3 0 0.0 0.0 -0.5 -1 4 -2 -3.0 1.0 1.5 3 5 -6 -2.0 0.5 3.0 2 example<-as.matrix(example)

Dear R users, Is there a package or function that can produce multiple fill patterns to be used instead of colors in barplots or pie charts? Shades of grey are difficult to differentiate if more than 3 to 5.. Osman [[alternative HTML version deleted]]

Hello Recently upgraded to Ubuntu 11.04 and not liking unity I swtiched to xubuntu but was perturbed to find my World of Warcraft FPS drop from 36 FPS in Ubuntu 10.10 and Ubuntu 11.04 'ubuntu classic' down to 3/4 FPS xubuntu. Again, to confirm it wasn't anything in the upgrade I made sure that the FPS is as normal in 11.04 when I select 'Ubuntu Classic' when logging in rather

I have used polygon() to mark the confidence limits of a survival curve. In another project, I have used the col parameter to fill my boxplots. The poly() description refers to filling but actually produces hatching (i.e. lines ). boxplot() does truly fill the boxes with a colour or shades of grey (e.g. col="red"). My novices perception of R graphics is: If you can hatch it, you