similar to: gsub help

Hi, ?I have a list of files in one of my working directories: "chr17.chunk1.dose.fvd" "chr17.chunk1.dose.fvi" "chr17.chunk1.prob.fvd"? "chr17.chunk1.prob.fvi"? ........... ......... ........ "chr17.chunk10.dose.fvd" "chr17.chunk10.dose.fvi" "chr17.chunk10.prob.fvd" "chr17.chunk10.prob.fvi" And I am

Hi, Consider the following (much simplified) Sweave example: -------------- First, we set the value of $x$: <<chunk1,eval=FALSE>>= x <- 1 @ Then we set the value of $y$: <<chunk2,eval=FALSE>>= y <- 2 @ Thus, the overall algorithm has this structure: <<combined,eval=FALSE>>= <<chunk1>> <<chunk2>> @

Hi, I am using R's grep function to find patterns in vectors of strings. The number of patterns I would like to match is 7,700 (of different sizes). I noticed that I get an error message when I do the following: data <- array() for (j in 1:length(x)) { array[j] <- length(grep(paste(patterns[1:7700], collapse = "|"), x[j], value = T)) } When I break this up into 4 chunks of

Hi all, first of all, I'm not an expert on R, I'm still learning, so sorry if this is a stupid question... I have a large dataset that is to big for my computer memory, and I found quite useful the package biglm. Now everything is working perfectly. But if I want the residuals, how I can do it? Let's say that we are running the example: > data(trees)>

Dear list, Inspired by the original Knuth tools, and for paedaogical reasons, I wish to produce a document presenting some source code with interspersed comments in the source (see Knuth's books rendering TeX and metafont sources to see what I mean). I seemed to remember that a code chunk could be defined piecewise, like in Comments... <<Chunk1, eval=FALSE, echo=TRUE>>=

Thanks for doing this Thomas, I have been thinking about what it would take to do this, but if it were left to me, it would have taken a lot longer. Back in the 80's there was a statistical package called RUMMAGE that did all computations based on sufficient statistics and did not keep the actual data in memory. Memory for computers became cheap before datasets turned huge so there

On Fri, 10 Feb 2023 23:38:55 -0600 Spencer Graves <spencer.graves at prodsyse.com> wrote: > I have a 4.54 GB file that I'm trying to read in chunks using > "scan(..., skip=__)". It works as expected for small values of > "skip" but goes into an infinite loop for "skip=1e11" and similar > large values of skip: I cannot even interrupt it; I

Dear All, My main objective was to compute the distance of 100000 vectors from a set having 900 other vectors. I've a file named "seq_vec" containing 100000 records and 256 columns. While computing, the memory was not sufficient and resulted in error "cannot allocate vector of size 152.1Mb" So I've approached the problem in the following: Rather than reading the data

Short question: is there way to tell EM to actually send data after send_data call? I''m building a file transferring app. I send Mashal.dump''ed metadata first, and then - the file contents (chunked). I found a silly bug: receive_data() gets marshalled metadata and the first chunk of the file in a single variable. Like that: c1.send_data("meta")

I have something like below in my sip.conf. How can I put this into Real-time? [voipbuster] type=friend ; (or "peer" if we don't need incoming calls, or if there is a separate section with "type=user") host=sip1.voipbuster.com disallow=all allow=ulaw allow=alaw allow=gsm allow=g726 username=abcd1 ;={{YOURUSERNAME}} fromuser=abcd1

Almost all of the coxme package and an increasing amount of the survival package are now written in noweb, i.e., .Rnw files. It would be nice to process these using the Sweave function + a special driver, which I can do using a modified version of Sweave. The primary change is to allow the following type of construction <<coxme>> coxme <- function(formula, data, subset, blah blah

Hello, All: I have a 4.54 GB file that I'm trying to read in chunks using "scan(..., skip=__)". It works as expected for small values of "skip" but goes into an infinite loop for "skip=1e11" and similar large values of skip: I cannot even interrupt it; I must kill R. Below please find sessionInfo() with a toy example. My real problem is a large

Suppose I start building nodes with (say) 24 drives each in them. Would the standard/recommended approach be to make each drive its own filesystem, and export 24 separate bricks, server1:/data1 .. server1:/data24 ? Making a distributed replicated volume between this and another server would then have to list all 48 drives individually. At the other extreme, I could put all 24 drives into some