similar to: ggplot2 reorder factors for faceting

Dear all, I am basically a GIS user and am new to R. I am trying to write a data frame to a dbf file. *n.simulations <- 999 binomial <- kulldorff(geo, cases, population, NULL, pop.upper.bound, n.simulations, alpha.level, plot) cluster <- binomial$most.likely.cluster$location.IDs.included df <- data.frame(ID=seq(1,n.simulations,by=1), simloglkhd=binomial$simulated.log.lkhd)

Hello everyone. I am using ggplot and I need some help to merge these two plots into one. plot_CR<-function(x,y,agentid,CRagent){   library(ggplot2)     agent<-CRagent[[agentid]] # To make following expression shorter   ggplot((data.frame(x=CRX,y=CRY,sr=agent$sr)))+   geom_point(aes(x,y,colour=cut(sr,c(0,-10,-20,-30,-40,-50,-60,-70,-80))))+   geom_text(aes(x,y,color=cut(sr,

This is really a question of how to program this *BETTER*. It works as I have done it, but is quite ugly. I want to do a 3d scatterplot of the upper triangle of a matrix, where the z-values are the values in the matrix, and the row and column indices are the y- and x-values. The complete (11 by 11) matrix is mmtop94.2. Here is my awkward code: mmtop94.2[lower.tri(mmtop94.2)] <- NA # Here i

Hi, I am learning xyplot. I have an example dataset attached. plotdata<-read.table("plotdata.txt",sep='\t',header=T,row.names=1) head(plotdata,n=4) y x type 1 -4.309601 -0.7448405 A 2 -4.715421 0.7875994 A 3 -2.310638 0.5455310 A 4 -2.685803 10.4116868 A xyplot(y~x,groups=type,plotdata, auto.key=T) This shows different colors for different

Hi list, Does any body know how I can create a margin area around the graphic created by xyplot (the same thing we do using par in plot function)? I tried viewport, but does not work. Here is the code: ============================================== require(grid) vp<- viewport(x=.1,y=.1,width=.6,height=.6,just=c("left", "bottom")) pushViewport(vp)

I am trying to plot some data, but have got some difficulties with labels on the tick marks on the x-axes. There are 20 data points. All I want to do is to plot the Loss versus Lines. When I use xyplot, the first tick mark starts from 2 rather than 1, and also there is a NA as the final tick mark. Here is the R code you code give it a try: Would any body be able to fix this, please?

Commits 3c27f3d91e1566854747bbe844186783fc84f3a8 and 1b6f0daa9ae7fcc94e389232d0c397816cda973d added an internal API for running commands asynchronously. It is only used by the copy-in and copy-out APIs. Unfortunately this made the command code very complex: it was almost impossible to redirect stderr to a file, and there were a lot of long-range dependencies through the file. It was also buggy:

Hi all, I want to plot the grouped means of some variables. The dependent variables and the grouping factor are stored in different columns. I want to draw a simple line-plot of means, in which the x-axis represents the variables and y-axis represents the means. The means of the groups should be connected by lines. So far, the only function that I could find comes closest to what I'm

Hi, attached there is the second version of the patch series adding copy_in and copy_out in the library, mostly moving them from guestfish. It also adds the copy_in usage in virt-customize, as aid in a new image building. Thanks, Pino Toscano (7): cmd: add a way to run (and wait) asynchronously commands cmd: add a child-setup callback cmd: add the possibility to get a fd to the process

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

Dear All, I am trying to build a simple ggplot, but where the scale is reversed, i.e. the largest numbers are on the bottom. An example of the code I am using is > plotdata<-data.frame(x=1:10, y=runif(10)) > plot<-ggplot() > plot<-plot+layer(data=plotdata, mapping=aes_string(x='x',y='y'), geom='point', stat='identity', size=4) >

--- src/command.c | 64 +++++++++++++++++++++++++++++++++++++++++++------- src/guestfs-internal.h | 3 +++ 2 files changed, 58 insertions(+), 9 deletions(-) diff --git a/src/command.c b/src/command.c index 4bb469b..e26573d 100644 --- a/src/command.c +++ b/src/command.c @@ -360,7 +360,7 @@ debug_command (struct command *cmd) } static int -run_command (struct command *cmd)

Dear all, today I have writted the following code, to plot the contents of some matrices I have plot_shad_f function(f){ library(ggplot2) dev.new() plotdata<-melt(f) names(plotdata)<-c('x','y','z') v<-ggplot(plotdata, aes(x, y, z = z)) print(v + geom_tile(aes(fill=z))) } I would like to ask your help add a small circle in this plotting. What would be

Hello R help mailing list, I'm having difficulty saving a series of figures in an analysis. I have attempted to save them in a for loop with the following code: for(i in 1:20){ sF<-paste("fig",i,".jpeg",sep="") jpeg(file=sF,width=600,height=500,quality=100,pointsize=12) attach(plotData) xyplot(CHC~1:13), detach(plotData) graphics.off() } If I break

Hi all, I've been trying (unsuccessfully) to modify an xyplot I created using the lattice package. I would like to change default strip colors and locations. I started with numeric data in 4 columns, which look like this: 0.25 2 1 32 0.25 2 2 30 0.25 2 3 27 0.25 2 4 23 0.25 2 5 17 0.25 3 1 30 0.25

Is there a canonical means to apply a function over multiple arrays simultaneously? For example, if I wanted to plot each line with a different color? Or is a for loop conversion my best option? x <- seq(0, 8, by = 2) y <- matrix(1:15, nrow = 5, byrow = TRUE) my.colors <- heat.colors(3) drawLines <- function(row) { lines(x, row) # want corresponding 'my.colors' here }

Dear UserRs, I am trying to use systematically ggplot2 for most of my plots, but I am fighting some lack of documentation, which I try to overcome. I want to build a scatterplot where the axes cross exactly at (0,0). I tried using scale_y_continuous(limits=c(0,10)), but I always get an extra space at the bottom of the axes. The code I used is below. > plotdata<-data.frame(x=1:10,

I'm currently playing with Wine on Cygwin on Windows 2000 on VirtualBox. Just to see what happens. Also to see how feasible Wine on Windows is from here. I've been updating the http://wiki.winehq.org/CygwinSupport page accordingly. With the 1.1.11 source tarball, I'm getting a compile error: internettransport.c:348: error:

Is the pictex graphics device known not to support color? In R 2.0.1 Patched (2004-11-17), it produced very pretty output: ## pictex(file = "modern-metatheonomy.tex", bg = "transparent"); ## plotData(data); ## dev.off() ... but it appears to have ignored all color information. __________ Steve Rowley <steve.rowley at sanofi-aventis.com> Cambridge, MA: (617) 768-4054

Dear colleagues, I'm looking if we can replace nvopencc with LLVM NVPTX in our project. It turns NVPTX won't work with the code nvopencc can handle (please see the log below). So are atomic intrinsics not supported or am I doing call in a wrong way? Thanks, - Dima. SOURCE ======== dmikushin at hp2:~> cat kernelgen_monitor.ll ; ModuleID =