search for: extendranges

I need to make a fairly complex animated graphic and decided to use grid for it. A very simple example of what I need: ##============================================================================== library(grid) grid.newpage() pushViewport(plotViewport()) pushViewport(viewport(xscale = extendrange(c(0, 100)), yscale = extendrange(c(0, 100)))) grid.xaxis() grid.yaxis()

Hi, I often need to extend the plot range to the right, but not to the left (for example: not below 0 so that log = "x" still works...). This could be a handy improvement of extendrange(): --- utils.R 2015-08-25 18:18:20.000000000 -0400 +++ utils.R 2018-04-25 17:21:25.000000000 -0400 @@ -30,6 +30,6 @@ ## Purpose: extend a range by a factor 'f' - on each side

Hello dear developers, I find myself often having the result of "range" oder "extendrange", which I want to create a sequence with. But "seq" needs two seperate arguments "from" and "two". Could an argument "range" be added? Otherwise I will have to create an object with the range (may come from a longer calculation), index twice from

...BG_VALUE is inserted after it, but does not have the bundling flags set. This essentially means that if we start with a set of bundled instructions: MI1 [BundledSucc=true, BundledPred=false] MI2 [BundledSucc=false, BundledPred=true] Where MI1 is a spill, and MI2 is a different instruction, after ExtendRanges we end up with MI1 [BundledSucc=true, BundledPred=false] DBG_VALUE MI [BundledSucc=false, BundledPred=false] MI2 [BundledSucc=false, BundledPred=true] Since this happens after the final instruction scheduling, it results in broken schedules. I believe setting the bundling flags before invoking...

...BG_VALUE is inserted after it, but does not have the bundling flags set. This essentially means that if we start with a set of bundled instructions: MI1 [BundledSucc=true, BundledPred=false] MI2 [BundledSucc=false, BundledPred=true] Where MI1 is a spill, and MI2 is a different instruction, after ExtendRanges we end up with MI1 [BundledSucc=true, BundledPred=false] DBG_VALUE MI [BundledSucc=false, BundledPred=false] MI2 [BundledSucc=false, BundledPred=true] Since this happens after the final instruction scheduling, it results in broken schedules. I believe setting the bundling flags before invoking...

Dear all, How can I make an index plot with lattice, that is plotting a vector simply against its particular index in the vector, i.e. something similar to y <- rnorm(10) plot(y) I don't want to specify the x's manually, as this could become cumbersome when having multiple panels. I tried something like library(lattice) mp <- function(x, y, ...) { x <- 1:length(y)

I am trying to create a map with selected states based on highest to lowest mean cost. The following code properly selects the correct states, and the legend is properly color coded with ranges, but the colors per range does not match the state colors. I need help getting the state colors to match the ranges outlined in the legend. I have tried ordering the mean amounts and this correctly creates

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Symptoms: curve with log x axis gets the wrong x limits (in 2.6.1, I believe introduced in this version). Credit goes to Mike McCoy for detecting the problem. Demonstration: x = 1:5 plot(x,5*exp(-x),xlim=c(0.1,1000),log="x") xvec = 10^seq(-1,3,length=100) lines(xvec,5*exp(-xvec)) curve(5*exp(-x),add=TRUE,col=2,lwd=3) I believe

Dear R-experts, I have two problems: PROBLEM (1) ----------- I want to produce a very small png file (35 x 18 px) that contains a histogram without a figure region or margins, only the pure heights. In the base graphic system this is simple: png(filename = "hist.png", res = 72, width=35, height=18) par(mar=c(0,0,0,0), oma=c(0,0,0,0)) hist(rnorm(100),

Hi R-Users, I have a time series of bivariate observations (x,y,t). I've developed a few panel routines to explore certain aspects of the data, and now would like to break the time series up into smaller chunks to explore the temporal trends. I would like to know if anyone has any experience breaking up time series with lattice. Base graphics offers coplot, utilizing the

I've been trying to package DragonEgg for Fedora Linux. Fedora 16 has LLVM 2.9 and GCC 4.6, but not the necessary GCC patches. If I build LLVM 3.0 on Fedora 16, then I can build DragonEgg 3.0, and it works fine. However, I can't submit that to the repository. On the other hand, Fedora 17, which just entered Beta, has LLVM 3.0 and GCC 4.7. I wasn't able to build DragonEgg 3.0

...us namespace)::LiveDebugValues::OpenRangesSet&, llvm::UniqueVector<(anonymous namespace)::LiveDebugValues::VarLoc>&) [clone .isra.207] (in /nix/store/06dpmfn74zrmman8nq8p96dg50lwbxhg-llvm-3.9.0-lib/lib/ libLLVM-3.9.so) ==27195== by 0x56A3EE5: (anonymous namespace)::LiveDebugValues::ExtendRanges(llvm::MachineFunction&) [clone .constprop.259] (in /nix/store/06dpmfn74zrmman8nq8p96dg50lwbxhg-llvm-3.9.0-lib/lib/ libLLVM-3.9.so) ==27195== by 0x57214A0: llvm::MachineFunctionPass::runOnFunction(llvm::Function&) (in /nix/store/06dpmfn74zrmman8nq8p96dg50lwbxhg-llvm-3.9.0-lib/lib/ libLLVM...

Dear all, When I use parallel function in lattice package, I want to label the y-axis with customized numbers. Like this: parallel(~iris[1:4] | Species, iris,horiz=FALSE,common.scale=TRUE, scales=list(y=list(at=c(0,2,3)))) But only "Min" label in the y-axis, nothing happened. Could anyone help me? Thanks. Regards, Pengcheng Yang

Hi all, I'm working on some plots using lattice (R 2.10.1), and have entered the polish phase. I've produced a satisfactory pair of xyplots ( http://imgur.com/EyXGi.png), but would like to align the y-axes of the top and bottom plots. I assume that I need to adjust axis padding or something, but I can't figure this one out. Thanks for any help! Dave -- Post-doctoral Fellow

?axTicks says: usr: numeric vector of length four, defaulting to ?par("usr")? giving horizontal (?x?) and vertical (?y?) user coordinate limits. but this is not how the function is implemented -- in fact 'usr' should be a vector of length two corresponding to the appropriate elements of par("usr") [1:2 if side is 1 or 3, 3:4 if side is 2 or

Hi everybody, I want an x-axis which has xlim=c(max, min) rather than xlim=c(min, max) in order to reflect the type of the process (cooling): library(lattice) myprepanel <- function(x,y,...) list(xlim=rev(range(x))) x <- rep(1:10, 100) z <- factor(sample(10, 1000, T)) y <- rnorm(1000, x, as.numeric(z)) xyplot(y~x|z, scales=list(x="free"), prepanel=myprepanel) This works

Hi R collective, I quite like the "curve" function because you can chuck a R function into it, and see the graph in one line of R. I had a google and found some threads for filling under the line; http://tolstoy.newcastle.edu.au/R/e2/help/07/09/25457.html However they seem to miss the point of the simplicity of going, "I wonder what that looks like, and can I have some colour

I have been making simple functions to display regressions in a new package called "rockchalk". For 3d illustrations, my functions use persp, and I've grown to like working with it. As an example of the kind of things I like to do, you might consult my lecture on multicollinearity, which is by far the most detailed illustration I've prepared.

I don't understand this behavior. Why does the every data point get trashed by data.matrix when there is one non-numeric element in the array? Thanks. > temp GDP CPIYOY 19540 2098.1 garbage 19632 2085.4 0.9 19724 2052.5 0.8 19814 2042.4 1.1 > data.matrix(temp) GDP CPIYOY 19540 4 4 19632 3 2 19724 2 1 19814 1

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Estimada comunidad, tengo que hacer un grafico con 4 paneles (4 graficos pegados juntos) y sobre este tengo que dibujar 4 rectas ajustadas a los datos de cada panel. Intente hacerlo con lattice usando el siguiente codigo : library(lattice) library(latticeExtra) xYplot(Cbind(mf[,3],mf[,5],mf[,6])~dia|factor(sol),data=mf,xlab="Time