similar to: Distributing Executables.

Hello, after many failed attempts to correctly write BinaryFiles file "R CMD check will warn about them unless they are listed (one filepath per line) in a file BinaryFiles at the top level of the package." - CRAN docs would somebody kindly provide an example of BinaryFiles file? thank you Theo -- View this message in context:

Howdy, I am having a problem with a library compiled from some legacy fortran code. I can call the library, it runs as it should, returns a list, and gives a ">" prompt, but then locks up the R session. Functions typed in return nothing. ctrl-c results in a new prompt that is still locked up, and R overwhelms the processor. This happens on Mac, Windows, and Linux exactly the same. I

I am in the process of creating a package in R which calls pre-compiled C code i.e. '.exe' files In reading the manual, I came across this: "A source package if possible should not contain binary executable files: they are not portable, and a security risk if they are of the appropriate architecture. R CMD check will warn about them2 unless they are listed (one filepath per line) in

2009/8/30 Uwe Ligges <ligges at statistik.tu-dortmund.de>: [snip] > Guido van Steen wrote: [snip] >> Something that interests me too: What about R's policy with respect to >> including binary files? I saw that developers should include a file [snip] > Please do not include binary files and carefully watch for licenses of those > files (e.g. if GPL'ed, you need to

Howdy, I was under the impression that CRAN took care of automagically making sure the CRAN compiled fortran was linked to the fortran libs distributed in R binaries. Today was the first day I was on a mac without Xcode and found my fortran based package has issues, which appears only on the mac. Do we need to have a special compile library path set in the Makefile to direct CRAN to the R

Dear mac folks, I have started porting a large legacy toolset maintained in windows and heavily mpi laden so it can be used across platforms in R... so I am building a package out of it. On this note, I am noticing that almost all of the mpi dependent packages do not compile on the CRAN repositories.... with the basic issue that it appears it can not find mpi installed: configure: error:

I would like to distribute Iconv for Windows with my Rails application (developing on a Mac, no experience with dlls). I threw iconv.dll and charset.dll under lib without luck. Where would I need to put them (if this is possible at all)? -- fxn PS: The reported error message is in Spanish but translated reads something like "the specified process was not found: Init_iconv".

Full_Name: Byron Ellis Version: R 1.9.0 (and 2.0.0) OS: Linux (Redhat Fedora Core) Submission from: (NULL) (140.247.241.197) It appears that `R CMD build` cannot handle spaces in the path when building packages for distribution. For instance: [ellis@net-78815 ~/Bayesian Networks]$ R CMD build bnsl * checking for file 'bnsl/DESCRIPTION' ... OK * preparing 'bnsl': * cleaning src *

Hi Eric Thanks for that. That seems to fix one problem (the lack of a separator), but introduces a new one when I complete the function Calum proposed:Error in docx_summary() : argument "x" is missing, with no default The whole code so far looks like this: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <-

Full_Name: Steffen Version: 2-5-0 OS: Windows Submission from: (NULL) (192.124.243.162) Hi, the R CMD build script is using if($WINDOWS) { ## workaround for paths in Cygwin tar $filepath =~ s+^([A-Za-z]):+/cygdrive/\1+; } which does not work if the build environment is a MINGW. I have added the patch below, Yours, Steffen $ diff -u build build.orig --- build

Hi all, I am not able to export an ALTREP object when `gctorture` is on in the worker. The package simplemmap can be used to reproduce the problem. See the example below ``` ## Create a temporary file filePath <- tempfile() con <- file(filePath, "wrb") writeBin(rep(0.0,10),con) close(con) library(simplemmap) library(parallel) cl <- makeCluster(1) x <- mmap(filePath,

Trying to run a self host "ninja check-clang" with ASan enabled I hit a /lot/ of errors like this (strangely I hit none of these in check-llvm, only in check-clang): Any ideas? ==10525==ERROR: AddressSanitizer failed to deallocate 0x10800 (67584) bytes at address 0x631000014800 ==10525==AddressSanitizer CHECK failed:

Hi everyone! I'm a recent linux user starting my first steps with this powerfull OS, and so far I've been able to make my way through installing and configuring a basic box connected to a M$ network. Now I'm trying to create a shortcut to run my windows database application in wine but so far I had no success... To correctly start my application in M$ windows I need to create a

An update: Running this block of code: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <- "Now they want us to charge our electric cars from litter bins.docx" #full_filename <- paste0(filepath, filename) full_filename <- paste(filepath, filename, sep="/") if (!file.exists(full_filename)) { ?

This Index: src/main/altrep.c =================================================================== --- src/main/altrep.c (revision 79385) +++ src/main/altrep.c (working copy) @@ -275,10 +275,11 @@ SEXP psym = ALTREP_SERIALIZED_CLASS_PKGSYM(info); SEXP class = LookupClass(csym, psym); if (class == NULL) { - SEXP pname = ScalarString(PRINTNAME(psym)); + SEXP pname =

NIST maintains a repository of Statistical Reference Datasets at http://www.itl.nist.gov/div898/strd/. I have been working through the datasets to compare R's results to their references with the hope that if all works well, this could become a validation package. All the linear regression datasets give results with some degree of accuracy except one. The NIST model includes 11 parameters,

On Mon, Mar 14, 2016 at 5:30 PM, Chris Bieneman <cbieneman at apple.com> wrote: [ brutal-snip ] ... > [ TODO#S: Before doing a 2nd build (and in a 3rd run using more > optimized binaries) ] > > How do I anable LTO via CMAKE? > > > LLVM_ENALBLE_LTO=On > [ v4 of my build-script attached ] Hi Chris, thanks for the response! That seems to work (see below). $ cd

Dear R-community, I have been experiencing this issue with functions within a function and I can kind of feel where the problem is (environments, closures etc), but I don't manage to solve it. I will sketch it with an example: #We have two simple "inner" functions: ############## INNER FUNCTION1 ################# innerfunction1<-function() { ab<-a+b

R-helpers, Is there an easy way to call an external (C) program using .C or .Call without including the code in a package. I know how to do it using system(), but that doesn't seem to be a permanent or portable solution. Initially I tried: .Call('filepath.to.c.function', arg1) and got this error: Error in .Call("filepath.to.c.function", "arg1", :

Hello, I don't know if the problem originates from R-devel 3.2 or Rcurl itself. I post this message to the R-devel list and to the author of RCurl (duncan at r-project.org). > library("RCurl") Le chargement a n?cessit? le package : bitops > print(sessionInfo()) R Under development (unstable) (2015-02-03 r67717) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: