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Dear list! > gregexpr("a+(b+)", "abcdaabbc") [[1]] [1] 1 5 attr(,"match.length") [1] 2 4 What I want is the offsets of the matches for the group (b+), i.e. 2 and 7, not the offsets of the complete matches. Is there a way in R to get that? I know about gsubgn and strapply, but they only give me the strings matched by groups not their offsets. I could write

I'd like do a simple xyplot with customized order of panels and try to understand how to use index.cond for that. Several attempts didn't deliver the correct results. Now, I noticed the following: > p <- xyplot(dur~roi|trial, data) > p$index.cond [[1]] [1] 1 2 3 4 5 6 7 8 9 10 These numbers are "valid indexing vector for the integer vector

Hi, I have a data frame and want to merge adjacent rows if some condition is met. There's an obvious solution using a loop but it is prohibitively slow because my data frame is large. Is there an efficient canonical solution for that? > head(d) rt dur tid mood roi x 55 5523 200 4 subj 9 5 56 5523 52 4 subj 7 31 57 5523 209 4 subj 4 9 58 5523 188 4 subj 4 7

Hi list! I have a large matrix which I'd like to partition into blocks and for each block I'd like to compute the mean. Following a example where each letter marks a block of the partition: a a a d g g a a a d g g a a a d g g b b b e h h b b b e h h c c c f i i I'm only interested in the resulting matrix of means. How can this be done efficiently?

Hi list! An operation that I often need is splicing two vectors: > splice(1:3, 4:6) [1] 1 4 2 5 3 6 For numeric vectors I use this hack: splice <- function(x, y) { xy <- cbind(x, y) xy <- t(xy) dim(xy) <- length(x) * 2 return(xy) } So far, so good (?). But I also need splicing for factors and I tried this: splice <- function(x, y) { xy <-

Hi list, I have a function that detects saccadic eye movements in a time series of eye positions sampled at a rate of 250Hz. This function needs three vectors: x-coordinate, y-coordinate, trial-id. This information is usually contained in a data frame that also has some other fields. The names of the fields are not standardized. > head(eyemovements) time x y trial 51

I have a data frame that is the result of a cast (reshape) operation. I deleted the variable column and tried to melt the resulting data frame. Depending on which method I use to delete the column I get different error messages when melting: > head(tinfos) vpn group trial_no item relation trial_type rt variable # 1 102 2 1 4351 diag1 distractor 8471 fix_d 27

I have a data frame called s3. This data frame has a column called saccade which has two levels 1 and -1. > head(s3$saccade, 100) [1] NA NA NA NA -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 [26] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 [51] 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 [76] -1 -1 -1 -1 -1

Hi list, I'm using the package XML to create a simple XML document. Unfortunately constructing the XML tree is extremely slow. My code (see below) adds only about 100 nodes per second on an Intel i5 machine. There's clearly something wrong but I don't see what. Here's a sample of the XML document: <?xml version="1.0" encoding="utf-8"?>

Hi list, I run R on Linux and OSX. On both systems I use R version 2.9.2 (2009-08-24) and reshape version: 0.8.2 (2008-11-04). When I do a melt with na.rm=T on a data frame I get different results on these systems: library(reshape) x <- read.table(textConnection("char trial wn p E10I13D0 4 r E10I13D0 4 a E10I13D0 4 c E10I13D0 4 t E10I13D0 4 i E10I13D0 4 c E10I13D0 4 e E10I13D0

Hi list, I want to place a plot (eg "plot(1:10)") and a xyplot side by side in one figure. The two columns should have different widths. If I'm not missing something, this rules out the standard way: par(mfcol=n). I tried layout(), but it doesn't seem to like it when grid scribbles into its views (the plot works but the view for the xyplot is left empty). I would

When loading mclust, it shows a license agreement message. This message shows up in my document when I use Sweave. I did the following: <<echo=FALSE,include=FALSE>>= library(mclust) @ Is this a problem with mclust, Sweave or with me? How can it be fixed? Thanks for any suggestions! Titus

Hi list! I have a data frame called fix and a list of index vectors called rois: > head(rois, 3) [[1]] [1] 2 1 [[2]] [1] 3 [[3]] [1] 6 7 28 26 27 24 25 The part that's causing the issue is the following line: lapply(rois, function(roi) fix$x[roi] <- 100) So for every index vector I'd like to set the respective entries in the data frame (fix) to 100. I

Dear list! I have a script that processes a large number of data files. When one file fails to process correctly, I want the script to write a message and to continue with the next file. I achieved this with tryCatch: for (f in files) tryCatch({heavy.lifting(f)}, error=function(e) log.error.to.file(e)) I also want to log warning messages and tried something like this: for (f in

Thomas, unfortunately it does slow down the machine. I am working in a chroot enviroment and there are other users on the same box. Therefore it's of special importance that I don't consume the cpu by myself. Titus Am Sonntag den, 15. September 2002, um 23:37, schrieb Thomas Vander Stichele: > Apart from what probably is a bad assumption in the code, does it > actually

Hello I compiled icecast-1.3.12 on a box with uname -a: SunOS star19 5.6 Generic_105181-31 sun4u sparc SUNW,UltraSPARC-IIi-cEngine. The result works properly. The problem is that the icecast process generates 100% cpu load even if no sources and no clients are connected. If I trace the process using truss, I get the following: ... open("/dev/zero", O_RDWR) =

Hello, I sent the mail below a few days ago to the icecast user discussion and support list. Until now nobody could help me. Maybe this list is a better place for problems of this kind? Titus <p>Anfang der weitergeleiteten E-Mail: > > Hello > > I compiled icecast-1.3.12 on a box with uname -a: SunOS star19 5.6 > Generic_105181-31 sun4u sparc