search for: greyscal

...u running at 900mhtz and 2gb of ram. OS is Ubuntu 9.10 netbook edition and the game is installed on a Western Digital Elements 1tb hdd connected through usb 2.0 and I had to install the GLIDE3toOpenGL-wrapper v 1.4d to get it to run at all. The game runs fine, considering the hardware, but only in greyscale (black and white), I know this isn't a real problem but it is annoying. The cinematics and intro run in colour, but the main screen and the game are greyscale. Any help would be appreciated.

scaling<-4 xywidth<-480 resolution<-150 png(filename = "c:/r/anschluss/plots/4.png", width = xywidth*scaling, height = xywidth*scaling,pointsize = 12, bg = "white", res = resolution*scaling) ...... barplot(xrow,col = barcolors,cex.axis=scaling, ylab="mean time till attachment in sec",cex.lab=1.2*scaling) I tried to scale the barplot but there is one

...panel.grid.minor = theme_line(colour = NA) # colour = NA to suppress gridlines, reappear if colour='black' ) <http://r.789695.n4.nabble.com/file/n4648669/step_plot_in_default_color.png> [version 2- producing wrong colour] #try greyScale, didn't work all <-qry_r3_AFF0_CumRate_pooled all <- subset(all, trt_label %in% c('ace','ctrlAM','met')) greyScale <-c("grey15","grey30","grey45") ggplot(all, aes(x=AFF0, y=cum_rate_AFF0_pooled, group=trt_label))+ geom_step(...

...g to make tiff files of lattice plots at a resolution greater than 300 dpi required by a journal (PLoS ONE). I have tried both the tiff and bitmap functions. tiff keeps panel colors but reduces axes and tick labels so they are nearly invisible. bitmap maintains correct label size but only produces greyscale. Regular plots work fine with tiff; the problem is only with lattice plots. How can I keep the right sizes using tiff or, alternatively, how can I get bitmap to produce colors? I have made this test function using an xyplot example to demonstrate the problem. `test` <- function(tiff=F, bitma...

Hi All, I have a greyscale image that I am reading in through RGDAL and placing in a pixmap object. As an example use the logo.jpg file that comes with the RGDAL package: #Read the file logo <- system.file("pictures/logo.jpg", package="rgdal")[1] x <- new("GDALReadOnlyDataset", logo)...

...39;d really appreciate is a cookbook on LLVM data structures. I have read the language reference http://llvm.org/docs/LangRef.html , and understand the expressivity of aggregate types. What I do not yet have a good feeling for is when to use them. To give a concrete example, I'd like to parse a greyscale image in to an LLVM data structure. At each {x,y} point, there is an Int8 value between 0 and 255. Take a small 4x3 image. I could feed my pixels in to a flat Int8 vector of length 12. I could also feed it in to an array of length 4, of Int8 arrays of length 3. Now take 2 simple functions: one do...

...ile with 3 tab-separated integers. How would I read this file in to an LLVM vector <3 x i32> ? Now take a more complicated example: decoding a file to an LLVM vector representation. To use the multimedia instruction set described above (though I guess not implemented yet), how do I: A) read a greyscale 3x3 pixel image file, B) translate this to an LLVM vector <9 x i8> ? 2. Implementing an LLVM backend subset. I have not yet delved deeply in to the requirements of implementing LLVM backends to target new hardware instruction sets. Given a constrained hardware implementation, is it accept...

...terplot matrices for e.g. 10 variables. What we would like to do is superimpose 2D kernel density estimators on top of each plot so that we end up with a scatterplot matrix of 2D kernel density (contour) plots. The kernel density plots don?t have to be very sophisticated i.e. default settings and greyscale are fine ? we can work on details later. What has stumped us so far is how you ?attach? the kernel density results to the scatterplot results and then overlay them. Any ideas, links or code gratefully received. TIA and please CC answers here if possible Michael

...- 100 ny <- 100 m <- matrix(data = rep(seq(0,1, length = nx), ny), ncol = nx, nrow = ny, byrow = TRUE) plot(1:nx, 1:ny, type = "n") my.color <- matrix(data = (rainbow(100))[m*100], ncol = nx, nrow = ny, byrow = TRUE) rasterImage(m, 1, 1, nx, ny, col = my.color) This yields a greyscale image. Is it possible to create colored images using rasterImage, and, if so, what is the correct way to generate a colored image using rasterImage? Also, is there a vignette or tutorial on using the new rasterImage() and related functions? Thanks! Ben Tupper Bigelow Laboratory for Ocean S...

Hi, New to R, I don't find a way to plot the following data with image(): x is a N * M matrix y is a vector of length M z is a N*M matrix I wish to plot z as a greyscale image, but my x axis is different for every row of the z data. Here is a minimal example, > theta<-c(3:6) # N > y<-c(1:5) # M > > x<-theta%*%t(y)# N * M > z<-sin(x) # N * M > > image(z) This doesn't give what I want, as the x axis needs to be shifted as...

...ated integers. > How would I read this file in to an LLVM vector <3 x i32> ? Now take a > more complicated example: decoding a file to an LLVM vector > representation. To use the multimedia instruction set described above > (though I guess not implemented yet), how do I: A) read a greyscale > 3x3 pixel image file, B) translate this to an LLVM vector <9 x i8> ? > LLVM doesn't provide a runtime or "VM". You basically do these things the same way that you do them in C. Yes, this unfortunately requires knowing your target platform's system libraries and how...

Is it possible to fill the boxes of a boxplot with filling patterns/texture instead of colours? Or both mixed? (for example white, grey, left diagonal striped, right diagonal striped) How can I do that? I searched here, but didn't find an answer. Thank you! -- View this message in context: http://r.789695.n4.nabble.com/Fill-pattern-for-Boxplots-tp4639698.html Sent from the R help mailing

Dear colleagues, I have an image which I can display in the greyscale using image. On this image, for some pixels, which I know, I want to display their activity based on a third measure. One way to do that would be to color these differently, and use an opacity measure to display the third measure. An example of what I am trying to do is at: http://www.public.iast...

Hi, Let's play a little game. Forget all you know, or think you know. Without any context at all, what does the following pattern make you think of? <p> X -> X X -> X | ^ v | X <- X X <- X | ^ v | X X -> X X | ^ | ^ v | v | X -> X

Dear list members, I need to translate 3 lines of matlab code to R (a loop, to be specific), and I don't know what would be the results in matlab or how to do it in R-- I don't realise if they are doing to the col, vector or what. if the results are a vector or a value or a matrix :-( Anyone with matlab, can run it and give me the result? Any ideias what am I doing wrong? The code is

Hi folks: Any idea when the density and angle arguments to polygon() are to be implemented? Or is there another way to achieve hatching fill patterns? TIA. Rajiv. -------- Rajiv Prasad Postdoctoral Research Associate, Hydrology Group Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-33 Richland, WA 99352 Voice: (509) 375-2096 Fax: (509) 372-6089 Email: rajiv.prasad at pnl.gov

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

Hi, is there a grayscale setting for lattice plots? I like the default color settings. I also like the settings that are available for setting black and white with something like this: --8<---------------cut here---------------start------------->8--- ltheme <- canonical.theme(color = FALSE) ## in-built B&W theme ltheme$strip.background$col <- "transparent" ##

I need grayscale formatting for a wireframe. The only col.regions that I can find are color palettes are all colored: rainbow(n, s = 1, v = 1, start = 0, end = max(1,n - 1)/n, gamma = 1, alpha = 1) heat.colors(n, alpha = 1) terrain.colors(n, alpha = 1) topo.colors(n, alpha = 1) cm.colors(n, alpha = 1) The code follows: X11() library(lattice) par(family="serif", cex=1.2)

Dear all, I have asked yesterday of how I can read a simple bitmap file in R cran. I was suggest to use either readGDAL or raster for loading my bitmap a. I have done it with readGDAL like     store<-readGDAL(fname='lena256.bmp')     and it works,... but it converts my matrix-like notion of a bitmap to a large vector b. Raster also returns a class that I can not understand. So 1,