similar to: Maximum number of patterns and speed in grep

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 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, ?I am working with the following list of files: [1] "study_chr1.one.phased.impute2.chunk1"?????????????? [2] "study_chr1.one.phased.impute2.chunk1_info"????????? [3] "study_chr1.one.phased.impute2.chunk1_info_by_sample" [4] "study_chr1.one.phased.impute2.chunk1_summary"?????? [5] "study_chr1.one.phased.impute2.chunk1_warnings"?????? The

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>>=

I have a question about the Reduce function: x <- list() x[[1]] <- LETTERS[1:5] x[[2]] <- LETTERS[11:15] Reduce(paste, x) [1] "A K" "B L" "C M" "D N" "E O" How do I get this?: [1] "A" "K" [2] "B" "L" [3] "C" "M" [4] "D" "N" [5] "E" "O"

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

Hi, I have a series of MS word files and each file contains plain text. From these texts I would like to extract only those elements (read: words) that are between square brackets. Example of a text: Most fundamentally, it has led to an effort to clarify the organizational form concept. According to them [see also Smith, Jones and Carroll 2002], categories emerge as audience members recognize

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

Hi, I have the following sequence: in <- c(0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 0, 2, 0, 0, 2) >From this sequence I would like to get to the following sequence: out <- c(0, 0, 0, 3, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 0, 2, 0, 2, 0, 0, 2) Basically,

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")

Hi, The following returns an error message. How do I evaluate (TRUE or FALSE) the function? require(XML) readHTMLTable("http://www.sec.gov/Archives/edgar/data/2969/000095012399010952/0000950123-99-010952.txt") Thanks in advance! Math -- View this message in context: http://r.789695.n4.nabble.com/evaluate-whether-function-returns-error-tp4631406.html Sent from the R help mailing list

Hi, I have a vector like this: DF <- c("Aetna, Inc.", "Alexander's Inc.", "Allegheny Energy, Inc") For each element in the vector I would like to remove the "incorporated" info, so that my vector looks like this: DF <- c("Aetna", "Alexander's", "Allegheny Energy") That means that I have to strip: strip <-

Hi, I have written a function "harvest" and I would like to run the function for each value in a vector c(1:1000). The function returns 4 list objects (obj_1, obj_3, obj_3, obj_4) using the following code at the end of the function: return(list(obj_1 = obj_1, obj_2 = obj_2, obj_3 = obj_3, obj_4 = obj_4)). Since I am connecting with the web in the function and the connection sometimes

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)>

Hi list, based on the following data.frame I would like to create a variable that indicates the number of occurrences of A in the 3 years prior to the current year: DF = data.frame(read.table(textConnection(" A B 8025 1995 8026 1995 8029 1995 8026 1996 8025 1997 8026 1997 8025 1997 8027 1997 8026 1999 8027 1999 8028 1995 8029 1998 8025 1997 8027 1997 8026 1999 8027 1999

Folks, I want to scrape a series of web-page sources for strings like the following: "/en/Ships/A-8605507.html" "/en/Ships/Aalborg-8122830.html" which appear in an href inside an <a> tag inside a <div> tag inside a table. In fact all I want is the (exactly) 7-digit number before ".html". The good news is that as far as I can tell the the <a>

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

Hi, I have produced a list g and I would like to reduce the amount of information contained in each object in g. For each matrix I would like to keep the values where the column name equals g[year][[1]][[x]] and the row names equals g[year][[1]][[-x]]. So in g$`1999`$`8029`, year = 1999 and x = 8029. I have been experimenting with the subset function, but have been unsuccesful. Thanks for your

Hi, I have data on individuals (B) who participated in events (A). If ALL participants in an event are a subset of the participants in another event I would like to remove the smaller event and if the participants in one event are exactly similar to the participants in another event I would like to remove one of the events (I don't care which one). The following example does that however it

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