similar to: Diablo 2 greyscale WINE 1.1.31

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

Hello to everybody. I was wondering... is there a way to force wine to use always highest possible refrash rate - when I ran a game in Fullscreen? I ask because - for excample my good old Incubation works flawless on wine (testet with wine 0.9.27 and 0.9.28) but when I switch to fullscreen(640x480 for this game) the refresh rate is only at 60 HZ - and my eyes hurts after a while... (mty monitor

Hi all, I am trying 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

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

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) #Create the pixmap object xGrey <- getPixmapGDAL(x) Now I would

Hi, I'm getting started with LLVM, with the intention of writing a DSL that compiles to LLVM IR, to target a new CPU instruction set. I have two questions: 1. Multimedia IO in LLVM In the paper "The LLVM Instruction Set and Compilation Strategy" [1], there is talk about a possible multimedia instruction set in a future LLVM release: "Note that LLVM is a virtual instruction

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

On 3 November 2013 05:44, Sean Silva <chisophugis at gmail.com> wrote: > 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 to link to them and such; > LLVM doesn't paper over this. OK. So to be specific, I am

On Sat, Nov 2, 2013 at 2:48 PM, Rob Stewart <robstewart57 at gmail.com> wrote: > Hi, I'm getting started with LLVM, with the intention of writing a DSL > that compiles to LLVM IR, to target a new CPU instruction set. I have > two questions: > > 1. Multimedia IO in LLVM > > In the paper "The LLVM Instruction Set and Compilation Strategy" [1], > there is

Hi all We are pretty new to R here and trying to achieve something that we believe is possible but it?s not easy to work out how to do it. We are producing scatterplot 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

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

Hello, I have been exploring the possibility to transition some code that currently uses image() to use the new rasterImage(). To date, I haven't been able to specify a color look-up strategy that works. For example... nx <- 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

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)

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:

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

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,

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)

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" ##

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