similar to: Splicing factors without losing levels

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

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 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, 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

Dear R-devel, There is a new feature in R-devel, which explicitly refers to LISP @ operator for splicing. > The backquote function bquote() has a new argument splice to enable splicing a computed list of values into an expression, like ,@ in LISP's backquote. Although the most upvoted SO question asking for exactly LISP's @ functionality in R doesn't seems to be addressed by this

Is there a Linux tool that will splice several gsm sound clips together into one clip? In my agi script, I would like to use 'get_data' with one clip instead of multiple 'stream_file' so the user doesn't have to listen to the entire spiel before responding. Thanks, -- Michael Welter Introspect Telephony Corp. Denver, Colorado +1 303 674 2575 mike@introspect.com

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'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"?>

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

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

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

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 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

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

On Mon, Feb 28, 2011 at 5:10 PM, John Criswell <criswell at illinois.edu> wrote: > On 2/28/11 10:04 AM, Frits van Bommel wrote: >> I don't think a full clone is necessary, since he wants to replace the >> function. He only needs to create the new function and splice in the >> body of the old one. > > That is exactly what MakeFunctionClone() does.  It creates a

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

Hi Jan, In the lisp code you provide the operators are parsed as simple symbols in a pairlist. In the R snippet, they are parsed as left-associative binary operators of equal precedence. If you unquote a call in the right-hand side, you're artificially bypassing the left-associativity of these operators. To achieve what you're looking for in a general way, you'll need a more precise

Given a segment of a MachineBasicBlock containing the instructions [MI4, MI5, MI6] at an arbitrary point, what would be the best way to change this segment with the same instructions in a different order, say, [MI5, MI6, MI4]? I looked into splice(), but it was impossible to hold iterators that remained valid before and after the splicing. I tried erase/remove() with insert/insertAfter(),

Provide a splice_read stub for ocfs2. This emits trace lines and does an atime lock/update before calling filemap_splice_read(). Splicing from direct I/O is handled by the caller. A couple of new tracepoints are added for this purpose. Signed-off-by: David Howells <dhowells at redhat.com> cc: Christoph Hellwig <hch at lst.de> cc: Al Viro <viro at zeniv.linux.org.uk> cc: Jens