similar to: recursive do.call

[Using R 2.7.2 on Windows XP] After re-building our heplots package, I've begun to get the following error from sessionInfo(), even though it passes R CMD check and builds without errors: > sessionInfo() Error in x$Priority : $ operator is invalid for atomic vectors In addition: Warning message: In FUN(c("MASS", "heplots", "car", "rgl",

Hi, Just wondering whether anyone had thought about moving the R sources to a "distributed" version control system such as Bazaar, Git or Mercurial. These new generation systems make it easier to work on feature branches, allow working offline, are very fast, etc. Some projects that have moved to Git are Linux Kernel Perl Ruby on Rails ... http://en.wikipedia.org/wiki/Git_(software)

Can anyone suggest an equivalent, for lattice graphs, of the base graphics argument bty="l"? NB that I am leaving off the box around the strip, with a strip function: stripfun <- function(which.given,which.panel, factor.levels=as.expression(levlist), ...){ panel.text(x=0, y=0.5, lab = as.expression(levlist[which.panel[which.given]]),

Hi, I am getting unexpected behaviour from aggregate.ts(). The 'ndeltat' argument is effectively being reduced by 1 in some cases, even when it is an integer, with the result that the blocks to be aggregated are not of the expected size, and also that the end() of the aggregated series is much later than the end() of the original series. rawts <- ts(rep(1:10, each = 5), start = 1) ##

I HAVE BEEN ASKED TO BE REMOVED FROM THIS LIST OVER 20 TIMES, PLEASE CAN I BE REMOVED!!!!!!!!!!!!! --- On Thu, 3/12/09, Peng Cai <pengcaimaillist@gmail.com> wrote: From: Peng Cai <pengcaimaillist@gmail.com> Subject: Re: [R] Help: barchart() {Lattice} To: "Felix Andrews" <felix@nfrac.org> Cc: r-help@r-project.org Received: Thursday, 3 December, 2009, 10:17 AM Got it

Hi, is there a way to take a data frame with 100+ columns and large data set to do efficient exploratory analysis in R with pairs? I find using pairs on the whole matrix is slow and the resulting matrix is tiny. Also the variable of interest for me is a binary var Y or N . Is there an efficient way to graphically view many variable relationships that does not look teeny ? I could do

Dear R gurus.. Is it possible to control span settings for different values of a grouping variable, when using xyplot? an example code shown below d=data.frame(x=rep(sample(1:5,rep=F),10),y=rnorm(50),z=rep(sample(LETTERS[1:2],rep=F),25)) xyplot(y~x,data=d,groups=z,panel=panel.superpose,panel.groups=panel.loess(span=c(2/3, 3/4,1/2)) or something like..

list(...), I would like to zoom in to the leaves of large trees in a dendrogram plot. The playwith package allows zooming by passing xlim and ylim arguments to the plot call (Hmisc does this too I think). But currently stats:::plot.dendrogram does not accept xlim or ylim. So I would like to enable that. In place of the existing code chunk: xlim <- c(x1 - 1/2, x2 + 1/2) ylim <- c(0,

list(...), I am looking for a way to interrupt R from a callback: specifically, to interrupt plotting (typically on a cairoDevice, but would be good if it worked with other devices too). Of course, one can interrupt R nicely from the console with Ctrl-C (or Esc in Rgui), but I need to do it from a GUI. Callbacks run in a new thread, so obviously stop() etc will not work. I tried to look into how

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

list(...) I can not get at the grid viewports in a ggplot2 plot. I know there is supposed to be a viewport called "panel_1_1" but downViewport() can't find it. Has the viewport been popped? I had a quick look at the functions involved (eg ggplot_plot) but there is no obvious problem there. > library(ggplot2) > qplot(1:10, 1:10) > current.viewport() viewport[ROOT] >

list(...), I am working with environmental time series (eg rainfall, stream flow) that have attached quality codes for each data point. The quality codes have just a few factor levels, like "good", "suspect", "poor", "imputed". I use the quality codes in plots and summaries. They are carried through when a time series is aggregated to a longer time-step,

Hi R-devel. I've noticed a couple of quirks in the current time/date axis functions (axis.Date, axis.POSIXct, and the equivalents in lattice). Looking at the code, it seems like a fairly ad-hoc approach, often using pretty() on components of the time. This is not always ideal - for example a one-hour interval gets cut into 10-minute chunks rather than the more natural 15-minute chunks (since

Hi list(...), I've narrowed down a weird bug. It's like a ghost in the machine, in that functions seem to remember things that they should not be able to. In the example below, the result of the second (and subseqent) calls depend on what was given in the first call. foo <- function(given = NULL) { callObj <- quote(callFunc()) if (!is.null(given)) callObj$given

Dear list, Don't you think it could be useful to have in R base a function rowCumSums, that compute cumulative sums for each row of a matrix? My implementation of rowCumSums is rowCumSums <- function(x) t(mapply(function(row)cumsum(x[row,]), 1:NROW(x))) I'm sure it can be improved to have other arguments like na.rm or dims. Is there any hope to have this function in R?

Dear list, i just encountered a problem concerning the export of multiple plots. is it possible to merge several PNGs into one PDF document? i know that this could be easily done by pdf(), but the outcome of this is /way/ too huge (> 15 MB, four plots) and to my knowledge there's no way to compress PDFs directly in R. Hence the PNGs that are saved one at a time and afterwards merged by

I am attempting to plot a trellis object on a grid. vplayout = viewport(layout.pos.row=x, layout.pos.col=y) grid.newpage() pushViewport(viewport(layout=grid.layout(2,2))) g1 = ggplot() ... g2 = ggplot() ... g3 = ggplot() ... p = xyplot() ... # works as expected print(g1, vp=vplayout(1,1)) print(g2, vp=vplayout(1,2)) print(g3, vp=vplayout(2,1)) # does not work print( p,

Folks: I would like to write two lines of text in two different font sizes (or faces or ...) as the title ("main") of a trellis plot. The following code does it, but not well: xyplot((0:1)~(0:1), main = textGrob(lab=c("Some Text","Some More Text"),y=c(.95,.8), gp=gpar(cex=c(1.2,1.0))) ) There is too much space between the title text and the plot. I assume

All, On p.52 of Deepayan Sarkar's Lattice book there is a nice plot of showing residuals with median lines superimposed or various groups: library("lattice") stripplot(sqrt(abs(residuals(lm(yield~variety+year+site)))) ~ site, data = barley, groups = year, jitter.data = TRUE, type = c("p", "a"), fun = median) Suppose we wanted to make a similar plot for a

On some errors during the plot of a lattice/grid graphics, there is written a message like "Error using packet 1: missing value where TRUE/FALSE needed" into the concering panel and the next panel is plotted. Which option I could use to stop the execution to have a look at the error by a traceback? Regards - Wolfram