similar to: binary coding of NA, Nan etc.

On Linux when I compile R 2.10.0(devel) (src/main/arithmetic.c in particular) with gcc 3.4.5 using the flags -g -O2 I get noncommutative behavior when adding NA and NaN: > NA_real_ + NaN [1] NaN > NaN + NA_real_ [1] NA If I compile src/main/arithmetic.c without optimization (just -g) then both of those return NA. On Windows, using a precompiled R 2.8.1 from CRAN I get NA for

I wonder if there is a way to read in CSV files so that - certain fields within each record (line) are ignored, i.e. not converted to columns in the output data frame - factors/levels are created automatically: often, the possible labels are known in advance and could immediately be converted. This would save a lot of memory and time for bigger files, I assume. Johann

Hello, is there a possibilty in R to convert numbers (double precision, 64bit) into single precision ones (32bit). I need that for compatibility reasons. Until now I call a C application which casts a double to a float. float precision32(double value) { return (float)value; } But I want to use a R only method. What can I do? Kind regards, Sebastian

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 wrote a function (in R batch mode) which reads binary data, interpolates sometimes and wrote a new binary file of the same size as the input file. Her is a bit of code: while (length( head <- readBin(si, integer(), 64, size=2))) { data <- readBin(si, integer(), head[5], size=2) ## now write head to new file writeBin(head, so, size=2) ## if head[4] is 9 or

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 <-

Dear R Devel, Since Linux moved away from using a file-system interface for audio, I think it is necessary to write special libraries to interface with audio hardware from various languages on Linux. In R, it seems like the appropriate datatype for a `snd_pcm_t` handle pointing to an open ALSA source or sink would be a "connection". Connection types are already defined in R for

I am trying to open an existing binary file, seek to a position in the middle, and then write one byte, while keeping the already existing data after that byte. It seems to me that I am unable to open a connection to a binary file in both read and write mode. I can open the "r+b" binary file connection and seek around, but I can't write to the file. And looking at the function

Hi, The latest version of R had some changes to functions "readbin() and writeBin() [which] now support raw vectors as well as filenames and connections.". As a result I am working on retiring "raw2bin" and "bin2raw" functions from "caTools" package which do exactly the same. Thanks to Prof. Ripley for bringing this change to my attention. Which brings me

Dear all, I have written a little R program to convert images. See below. Within the loop over j (the filenames) memory consumption grows constantly. rm( ... ) inside the loop did not help. Memory does not grow if I remove the writeBin statements between the two #-------- marks. But obviously this is not solution I want... Thanks for any advice. Manfred Baumstark P.S. As I'm new to R:

Hi, The man page for readBin has a small typo: --- a/src/library/base/man/readBin.Rd +++ b/src/library/base/man/readBin.Rd @@ -58,7 +58,7 @@ writeBin(object, con, size = NA, endian \code{readBin} and \code{writeBin} read and write C-style zero-terminated character strings. Input strings are limited to 10000 - characters. \code{\link{readChar}} and \code{\code{writeChar}} +

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

Hi all, I'm having problems trying to export binary arrays from R and importing them into fortran (linux openSUSE 10.3 (x86_64), gfortran compiler, fortran 90/95 program). Let's say the problem can be expressed as: R part ------------ >whini <- runif(1000) >writeBin(whini,"fwhini.dat") f90 part ------------ PROGRAM foo INTEGER, PARAMETER :: DP = KIND(1.0D0) INTEGER ::

I have two binary files(rasters) with the same dimensions. The first file is called `over` and the second is `corr`. I want to replace values in `over` by `NA` whenever `corr` is greater than 0.5. to read the two files we can use: conne <- file("C:corr.bin","rb") over <- readBin(conne, numeric(), size=4, n=1440*720, signed=TRUE) frf <-

The public connection API is defined in https://github.com/wch/r-source/blob/trunk/src/include/R_ext/Connections.h I'm not sure of a good pedagogic example; people who want to write their own connections usually want to do so for complicated reasons! This is my own abandoned attempt

On 15/07/2017 11:33 AM, Anthony Damico wrote: > hi, i realized that the segfault happens on the text file in a new R > session. so, creating the segfault-generating text file requires a > contributed package, but prompting the actual segfault does not -- > pretty sure that means this is a base R bug? submitted here: > https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=17311

Hello, I'm wondering if I can get some help with reading Fortran binary "unformatted" output files into R. The Fortran output files were generated in Ubuntu 10.04 LTS using gfortran4.4, on a 32bit Intel Core 2 Duo 3.16 GHz machine, with little-endian and record marker lengths equal to 4. The machine I'm currently trying to read this Fortran output file is a Macbook Pro

I've got an error with the way I'm using readBin on a binary file of unknown internal structure. I know the structure consists of rows and columns, but I'm not sure how many of each. So, does anyone know of a valid test set of binary data that I could reference while trying to figure out the technique of using readBin? It would be really helpful to try out readBin on a readily

Hellow everyone, This code bellow will calculate average daily wind speed(measurements are taken every three hours).Any ideas how to take the Min and Max instead of average. library(Matrix) setwd("C:\\Users\\aalyaari\\Desktop\\img") listfile<-dir() long <- file("C:\\Users\\aalyaari\\Desktop\\New folder (5)\\inra.bin", "rb") A=readBin(long, integer(),

I want to write to M, using row and columns taken from A and B, with values from C. C is a lot longer than A and B, so only the first 67420 elements of C are used in my loop.So how can I improve it to take then the next 67420 and write it to new file and so on till the 248th 67420. Many thanks library(Matrix) M <- Matrix(-9999, 360, 720) ## creat matrix with 720 columns and 360 ro ws