similar to: pipe and binary i/o (on Linux)

I often want to use "pipe" with "readBin" to read (binary) data from the standard output of a Perl or C program. For that I need "pipe" to work with the "open='rb'" option. It never worked for me, and after a look at the connections.c file, I see that in "pipe_open" the mode gets passed directly to "popen" (I'm using Linux on

how to use the readBin ? i want to write the extended ascii character `Œ` into a file named c:/testbin, and read it in the R console ,display it as `Œ` in R console. now i can write it . zz <- file("c:/testbin", "wb") writeBin(charToRaw("\u0152"), zz) close(zz) when i open the file with office(encoding=utf-8),i can see `Œ`,whay i can not read it with readBin?

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

To me it seems like writeBin() writes one char/byte more than expected. > con <- file("testbin", "wb") > writeBin("ttccggaa", con) > close(con) > con <- file("testbin", "rb") > readBin(con, what="character") [1] "ttccggaa" > seek(con, what=NA) [1] 9 > close(con) > con <-

Hello, If repeated calls are made to save() using the same pre-opened gzfile connection to a file, and then the connection is closed, the objects saved by the second and subsequent calls are not correctly restored by repeated calls to load() with a new gzfile connection to the same file. What follows are a session exposing the bugs, analysis (see ANALYSIS), patches (see PATCHES), and a session

Hi, I'm running into more issues when reading data from a gzfile connection. If I read the data sequentially with successive calls to readBin(), the data I get looks ok. But if I call seek() between the successive calls to readBin(), I get corrupted data. Here is a (hopefully) reproducible example. See my sessionInfo() at the end (I'm not on Windows, where, according to the man page,

Dear all, I have a problem similar to what was already posted about two years ago (http://tolstoy.newcastle.edu.au/R/help/05/01/10011.html): I have a binary file, which contains a header and data compressed by zlib and written to the file as unsigned character. Here is, what I try to do: > zz <- file(in.file, 'rb') > ## the header has to be read in three parts due to the

Dear all, I have a few files with binary data written by a C program a friend wrote. I allready have program to read these files, Thomas Lumley and Prof Brian D Ripley was kind enough to respond to a question to this list earlier with some code that works perfectly, so this is really no problem, it is more out curiousity. Most of my files consists of 40000 single precision floats, and I figured

The structure of the file is clear (see below) the first line is made of integers and doubles with the fifth being a text string followed by arrays of double precision number.: int1 int2 double1 double2 text int3 int4 int5 (array of double) here is an example of file: 1 1 1.0 1.0 "HEAD" 160 224 3 23.4 34.5 ...... I tried to read the first line with readBin (results are copied below):

I have been trying to use the gunzip function in the R.utils package. It opens a connection to a gzfile, uses readBin to read from that connection, and then uses writeBin to write out the raw data to a new file. This works as expected under linux/mac, but under Windows, I get: Error in readBin(inn, what= raw(0), size = 1, n=BFR.SIZE) : negative length vectors are not allowed A simple

Hi all - I'm playing around with an attempt to do some serial communication from within R to a microcontroller board. I open a connection: zz = file("/dev/ttyUSB0",open="a+") ## text mode ... when I execute writeLines("0",con=zz) I know the board receives the "0" because the board's serial comm LEDs light up when submit the command at the R

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

Hola: Para el desarrollo del nuevo PluginR de Tiki (para poder ejecutar scripts de R desde Tiki: en páginas Wiki, hojas de cálculo web, etc, http://dev.tiki.org/PluginR ), por ahora estamos usando la lista de funciones que se usaban en el proyecto r-php, y que fueran heredadas por la extensión R de MediaWiki. Como r-php se hizo hace algunos años (2006), me pregunto si alguien sabe si hay

Full_Name: Ken Yap Version: 1.6.1 OS: Linux (SuSE 8.0) Submission from: (NULL) (129.78.64.5) I'm trying to copy a file using readBin and writeBin. (The reason is to be able to pipe PostScript or PDF output to a socket later, this is just an experiment.) I do: zz <- file("foo.ps", "rb") r <- readBin(zz, character(), 1000000) yy <- file("bar.ps",

Hi all, I used `gzfile` and `gzcon` to read a compressed file but I found that `gzcon` gave me a different result than `gzfile`. It seems like the `gzcon` does not handle the data correctly. I have posted an example below. In the example, a portion of a compressed file is downloaded from Google Cloud as a raw vector, and the data is saved into a temp file. If I use ` gzfile` to read the file, it

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the output buffer as output is accumulated line by line. This new

I need to decompress an array of bytes that were compressed using zlib. The bytes are stored within a binary file. I can seek to the location, read the length of the compressed byte array, and read the bytes into R. What I need to do then is decompress the byte array to an array of doubles. The code looks something like this: compresslength = readBin(infile, integer(), 1, 4) data =

Hi all, in the last time I've intensively used Rstreams to read and write from binary files. Now I'm wondering if it is possible to use Rsteams functions with gzipped files. But I haven't found the trick: > p1c.gzip <- gzfile("daten/p1c_all.mea.gz", open="rb") > readBin(p1c.gzip, integer(), n=64,size=2) [1] 84 1 400 1 749 0 0 0

This might seem like a strange question but is there any way to compress an R object (such as a matrix) and know its resulting size in bytes ? Clearly, I could implement this in the following way (if x is my matrix): zz <- gzfile(fname,"w"); write.table(x,zz); close(zz); file.info(fname)[,"size"]; However, I need to do this for hundreds of thousands

Hi all, I am running R version 2.4.0 (2006-10-03) on an i686 pc with Mandrake 10.2 Linux. I was given a binary data file containing single precision numbers that I would like to read into R. In a previous posting, someone suggested reading in such data as double(), which is what I've tried: > zz <- file(file, "rb") > h1 <- readBin(con = zz, what = double(), n = 1, size