similar to: ggplot: Problem with legend background

Hi. I have the following code in a loop. It splits a vector into subvectors of equal size. But if the size of the original vector is not an exact multiple of the desired subvector size, then the first few subvectors have one more element than the last few. I know that the cut function could be used to determine where to break up the vector, but it doesn't seem to provide control over

Hi I'm running into a rather strange and frustrating bug and wondering if anyone on the mailing list might have some insight about what might be causing it. I'm running a cluster of two dozen nodes, where the processing nodes are also the gluster bricks (using the SLURM resource manager). Each node has the glusters mounted natively (not NFS). All nodes are using v3.2.7. Each job in the

Hello, I'm trying to write a function using tcltk to interactively modify a plot and gather locator() data. I've read Peter's articles in Rnews, the help pages in tcltk, http://bioinf.wehi.edu.au/~wettenhall/RTclTkExamples/, plus a post in R-help sometime ago, but haven't found a solution. The idea goes something like this: require(tcltk) testplot <- function() { getcoords

Dear list,   I made boxplots using ggplot and want to control for x- and yaxis. Using "plot" I can do it by setting cex.axis equally to any size but can't figure out how to do it with ggplot.     ggplot(dat, aes(x = factor(time), y = volume)) + opts(axis.title.x=theme_text(size=8),axis.title.y=theme_text(size=8)) + geom_boxplot() + geom_jitter(aes(colour = id))+labs(x =

Dear R users, First just want to say thank you to all for developing such a wonderful software and packages. I need to produce a wind rose plot. Tried with packages circular and plotrix and couldn't quite get what I want. Moved to package ggplot2 and it's going great. However stuck in how to move axis labels. I am using the wind rose from the help to learn how to do what I need (code

Dear R-users, I am developing a plotting function, which receives expressions and character/numerical vectors as part of the many input arguments and which tries to concatenate them before displaying the result to the plot. I currently cannot find a way to make this concatenation works. I have read several posts in the list that solved this problem by pasting the different elements together

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data

I am trying to use computer modern fonts in postscript files for a latex document. Ultimately I want to automate this through sweave. I've read the documentation ans have tried the following code to use lattice to produce a graph using computer modern: library(lattice) library(grid) testPlot=( xyplot(seq(1:10) ~ seq(1:10), main="one to ten",

I am looking for a way to save a plot (graphics contents) to a file after the plot has been calculated but before it has been rendered. More specifically, assume that I made a plot that took a very long time to produce, I would like to save this plot to a generic file that I can later, on a different machine, render to either PDF, PNG, SVG using the usual R graphics devices, without recalculating

I am looking for a way to save a plot (graphics contents) to a file after the plot has been calculated but before it has been rendered. More specifically, assume that I made a plot that took a very long time to produce, I would like to save this plot to a generic file that I can later, on a different machine, render to either PDF, PNG, SVG using the usual R graphics devices, without recalculating

Hello, I am an absolutely beginner with regards to R, so forgive me for my potentially very stupid questions. I have been attempting to create recurrence plots using R. The data I am using is based on a mutually exclusive and exhaustive coding scheme with over 40 individual codes which can be assigned to 6 higher order categories. When I carry out the usual rqa command, my plot is pretty much

If I actually finished writing this module, would any of you use it? Would you wish it did something else/different than what's described below? Any comments or suggestions on its proposed usage, intent, or syntax are welcome! (An alternative, better name would also be appreciated) -Aaron NAME R::Wrapper - Wrapper around the RS-Perl R module SYNOPSIS #!/usr/bin/perl -w

I can't comment on frailtypack issues, but would like to mention that coxme will handle nested models, contrary to the statement below that "frailtypack is perhaps the only .... for nested survival data". To reprise the original post's model cgd.nfm <- coxme(Surv(Tstart, Tstop, Status) ~ Treatment + (1 | Center/ID), data=cgd.ag) And a note to the poster-- you should

Dear all, I am using ggplot with geom_tile to print as an image a matrix  I have. My matrix is a squared one of 512*512 cells.  The code that does that is written below > print(v + geom_tile(aes(fill=dB))+ opts(axis.text.x=theme_text(size=20),axis.text.y=theme_text(size=20), axis.title.x=theme_text(size=25) , axis.title.y=theme_text(size=25), legend.title=theme_text(size=25,hjust=-0.4) ,

I took some data from an online poll about which R GUI people used most and I am messing around with it to learn how to use qplot. Specifically I am making a horizontal bar graph and I have two questions. 1. The categories are ordered in rather strange way at least to me. It is not alphabetical or ascending/descending order of votes cast so i had to manually state the order I wanted which is

Happy New Year to all R users! I have two short questions concerning a xyplot with a color key: 1) How do I properly place (align) the color key beside the xyplot? As you can see from the code listed below, the placement of the color key is not correct. I would like the upper and lower end point of the color key to be perfectly aligned with the upper and lower line of the xyplot. Adjusting

Hi, Based on some modification that I did to the R Cookbook Graphs Scatterplots code, link:http://wiki.stdout.org/rcookbook/Graphs/Scatterplots%20(ggplot2) I have some questions and I will appreciate a help: - How do I change the legend title? - How can I change the for each linear regression its color and linetype? - How can I add for both the linear regression lines their equations and Rseq

Hello: I have problems generating big JPG plots in functions. the following code runs fine in the script: #### runs fine in script, generate 40k "test1.jpg" in the given directory plotPlatesAlong <- c(1:5) plotDirPath <- paste(dataPath, "OutputPlots\\", sep="") filename <- paste(plotDirPath,"test1.jpg", sep="") jpeg(file=filename)

Given the data structure below and the call to ggplot2, how can I increase the size of the axis scale points, the line weight, and the size of the legend? ddata <-structure(list(year = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2003", "2007"), class = "factor"), area = structure(c(7L, 6L, 1L, 2L, 3L, 4L, 5L, 7L, 6L, 1L,

Dear List I am trying to draw a heatmap using ggplot2. In this heatmap I have faceted my data by 'infection' of which I have four. These four infections break down into two types and I would like to reorder the 'infection' column of my data to reflect this. Toy example below: library(ggplot2) # test data for ggplot reordering genes <- (rep (c(rep('a',4),