similar to: compressing data without writing output to file

Dear fellow R users, I would very much like to see an example of read/write connection (open = "r+" ) for e.g. pipe() or any other R connection. I have a standalone program which accepts input from stdin, performs some processing and returns the results on stdout. Is it possible at all to open a connection to that program, write to it (i.e. to stdin of that process) and read back the

I have installed both 32-bit and 64-bit versions of R2.12.0 (2010-06-15 r52300) on my Ubuntu 10.04 64-bit system. I observe the following behavior when running the examples from base::connections. There appears to be a problem with seek() on a .gz file when using a 32-bit installation of R2.12.0, but the problem doesn't appear in the 64-bit installation. I realize that seek() has been

Hi all,I have large compressed text tab delimited files, I am trying to write efficient function to read them, I am using gzfile() and readLines() zz <- gzfile("exampl.txt.gz", "r") # compressed file system.time(temp1<-readLines(zz )) close(zz) which work fast, and create vector of strings. The problem is to parse the result, if I use strsplit it takes longer

Hi, I have a set of user defined package which I have installed in 2.8.1 for quite some time. I installed 2.11.0 and 2.11.1 a couple of days ago while still having 2.8.1 version in my system. For the package, package.skeleton works fine in R 2.11. However, it comes problem when I run Rcmd check/intall. The intall.out shows below. I further tested that I reran R-2.8.1/bin/R CMD check in

Can one write a zip file from R? I want to create a file with a name like "dat.zip", being a zip file containing "dat.csv". I can create "dat.csv", then call "system('zip -r9 dat.zip dat.csv')". Is there a better way? I can use "gzfile" to write a gz file, but I don't know how to give that a structure that would

Hello, I have a binary file type that includes a zlib compressed data block (ie not gzip). Is anyone aware of a way using base R or a CRAN package to decompress this kind of data (from disk or memory). So far I have found Rcompression::decompress on omegahat, but I would prefer to keep dependencies on CRAN (or bioconductor). I am also trying to avoid writing yet another C level interface to

Dear R users, I was wondering from where I could get the C source code to compute pnbinom() and qnorm() ? (I would use R in batch mode but I find the startup time prohibitive, unless there is a way to speed it up) I searched the Web and it clearly is part of the R distribution, I just don't know how to extract them. Thanking you ! Markus Loecher Princeton, NJ [[alternative HTML version

Dear group, Here is my function: #return the daily PL for day y PLDaily<-function(x,y) { #find elements in my directory with "LSCPos" in the name, keep the numeric part in the name and #create a list l<-gsub("\\D","",dir()[grep("LSCPos",dir())]) #select in the list the desired elements

Hi i am using a script which involves the following loop. It attempts to reduce a data frame(zz) of 95000 * 41 down to a data frame (averagedreplicates) of 95000 * 21 by averaging the replicate values as you can see in the script below. This script however is very slow (2days). Any suggestions to speed it up. NB I have also tried using rowMeans rather than adding the 2 values and dividing by 2.

Hi I am trying to create a loop which averages replicates in my data. The original data has many rows. and consists of 40 column zz[,2:41] plus row headings in zz[,1] I am trying to average each set of values (i.e. zz[1,2:3] averaged and placed in average_value[1,2] and so on. below is my script but it seems to be stuck in an endless loop Any suggestions?? for (i in 1:length(average_value[,1])) {

Dear readers of the list, I have a problem a comparison of two data from a vector. The comparison yields FALSE but should be TRUE. I have checked for mode(), length() and attributes(). See the following code (R2.10.0): ----------------------------------------------- # data vector of 66 double data X =

--- On Fri, 15/5/09, Amit Patel <amitrhelp at yahoo.co.uk> wrote: > From: Amit Patel <amitrhelp at yahoo.co.uk> > Subject: Help with loops > To: r-help at r-project.org > Date: Friday, 15 May, 2009, 12:17 PM > Hi > I am trying to create a loop which averages replicates in > my data. > The original data has many rows. and consists of 40 column > zz[,2:41]

Hi R users I try to use the lme but I can?t!!!!! My script is (some words in french, sorry!!): rm(list=ls(all=TRUE)) #Efface tous les objets en m?moire pour ?viter des erreurs library(MASS) #Chargement des Librairies library(car) library(Hmisc) library(tkWidgets) library(svDialogs) library(multtest) library(nlme) #Rep <- "C:/Documents and Settings/U3M/Bureau/steph/Scripts

Hello I need to run an r-file that works on Windows on MAC. The first lines of the file are: library(R.matlab) library(Rcompression) Somehow I cannot find where Rcompression is. Am I missing something? Many thanks Ed

Hello, I'm trying to use the package ttda, wich is involved in text analysis, for my own data about answers in a company survey. I've installed it, as well as ispell, but when trying to use an example: > zz <- file("stupid.txt", "w") # build a data file > cat("{comment - stupid data file} \n" , file = zz) > cat("<uci=1>

Thanks very much, Professor Ripley. Reid Huntsinger -----Original Message----- From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk] Sent: Tuesday, August 06, 2002 3:00 AM To: Huntsinger, Reid Cc: r-help at stat.math.ethz.ch Subject: Re: [R] pipe and binary i/o (on Linux) On Mon, 5 Aug 2002 ripley at stats.ox.ac.uk wrote: > pipe predates readBin, and no one has seen a

Full_Name: Gavin Simpson Version: 2.1.0-patched (1-Jun-2005) OS: Linux (Fedora Core 3) Submission from: (NULL) (128.40.32.76) axis.Date() insists on labelling tick marks. It could be made more flexible by allowing the user to specify if they want the ticks to be labelled, for example, to add un-labelled minor ticks for "months", added to a plot with "years" labelled. The user

Hi, I am currently writing code to input a few thousand files, run them through the Random Forests package, and then output corresponding results. When I use the code below: zz<-textConnection("ex.lm.out", "w") sink(zz)

Hello, Sorry, I know the topic has been talked about already but I searched the archives and I'm still unsure of the proper way to have dovecot (imap-login) listen to several addresses and/or several ports. 1. how do I translate dovecot-1 protocol imap { listen = xx.xx.xx.xx:143 yy.yy.yy.yy:143 ssl_listen = xx.xx.xx.xx:993 yy.yy.yy.yy:939 } I started by service imap-login {

What is the R way of computing cumulative growth rates given a series of discrete values indexed . For instance, given a matrix of 20 observations for each of 5 series (zz), what is the most straight forward technique in R for computing cumulative growth (zzcum) ? It seems for the solution I'm after might be imbedding the following cum growth rate calc as a function into a function call