similar to: Using gsl libraries in R packages

I hope that someone reading this list can offer some suggestions on how I can incorporate external C libraries in C functions that I want to call from R. I have gone through all of the documentation, help files and mailing list archives and have not been able to find a satisfactory solution. I have constructed a simple example of the problem, since my "real" program is much more

I hope that someone on this list can help me with this issue. I have searched through all of the documentation and mail archives for a solution, but have been unable to find an answer that addresses my particular problem directly. Suppose I am writing some C code that I want to access from R through the .C function. As part of the C function, I want to include an external C library, such as the

Hi. I am writing some code in C that I would like to link into R. My Makevars file is: PKG_CPPFLAGS=-I/usr/local/include PKG_LIBS=-L/usr/local/lib -lgsl PKG_CFLAGS = -Wall -O0 -g -p -pg The source file is core.c,. and I am compiling using R CMD SHLIB core.c The output is gcc -arch x86_64 -O3 -g -p -std=gnu99 -I/Library/Frameworks/ R.framework/Resources/include

Thanks in advance to anyone that might be able to help me with this problem. I have not been able to find a reference to it in the documentation on online sources, so I am turning to this group. I am running R 2.4.1 under Red Hat Enterprise Linux 4, on an x86_64 platform (multi-core Intel Xeon processors, 3.6Ghx, 8GB of RAM). I have some rather complicated code (so I won't attach it here),

I am experiencing some odd behavior with the .Call interface, and I am hoping someone out there can help me with it. Below is a simple example (in that there are R packages that do exactly what I want), but this code illustrates the problem. Thanks in advance for any help you can provide. Suppose I want to compute the log density of a multivariate normal distribution using C code and the gsl

First, thanks to those of you who responded to my previous post about my code that was taking longer and longer to process. After following your suggestions, and I now thinking that the problem was some calls to Rf_duplicate in my C code. So I'm hoping I could get some clarification on what Rf_duplicate actually does. What is the real difference between PROTECT(y=x); and PROTECT (y =

Hi. I'm embarking on my first attempt at creating my own panel function for lattice graphics, and despite all of my online research and pouring through the documentation, I cannot figure out how to solve my particular problem. Hopefully, a generous fellow R user can help. I have some data that is split into two groups: some "actual" data, and some simulated data,

Dear R users: I have a problem when installing the R package *gsl*. The procedure is as follows: (1) Since it needs a GSL vesion >=1.12, and the GSL library on the serve I use is too old, I download GSL 1.15 and install it in my own account, such as $HOME/local/gsl. Because I do not have root access, so it cannot be installed in standard folder. (2) Then I download the source code of R

Hi, I'm trying to install the gsl wrapper source code (http://cran.r-project.org/src/contrib/gsl_1.9-8.tar.gz) on a Linux system (OpenSuse 11.1), but encountering the following problem. I've already installed 'gsl' version 1.14 (ftp://ftp.gnu.org/gnu/gsl/gsl-1.14.tar.gz) on the system. What's missing? Thanks a lot... > R CMD INSTALL gsl * installing to library

Hi I want to install the R package gsl, which is a wrapper to the library GSL. Installation fails as it seems that I did not install the right GSL library: * Installing *source* package 'gsl' ... checking for gcc... gcc checking for C compiler default output... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for suffix of

hello I maintain the gsl R package, and many users have recently reported that the package does not install from source under macosx 10.9 ("mavericks"). Users typically install the gnu GSL library and are able to compile and run a small "hello world" program which executes some of the Bessel functionality of the library; but under mavericks the configure script (which uses

Hi all, I am new to R and am writing after having contacted Robin Hankin, who maintains the R gsl wrapper. I am trying to use an AFNI (neuroimaging analysis) program that depends on the R gsl package. When I try to use the script I wrote, I get an error that led me to suspect the gsl package was a culprit. When I do library("gsl") within R, I get: Error in dyn.load(file, DLLpath

Full_Name: Levi Waldron Version: 2.5.1 OS: Ubuntu Gutsy Submission from: (NULL) (206.248.157.88) I installed libgsl0-dev then tried to install the gsl cran package, unsuccessfully (see output below). As a workaround I created a symbolic link to /usr/bin/gcc-4.2, ie: sudo ln -s /usr/bin/gcc-4.1 /usr/bin/gcc-4.2 The correct behavior of the gsl package should be to use the executable

Newbie here (to R) and running Linux... > install.packages("gsl","~/R") ... trying URL 'http://cran.wustl.edu/src/contrib/gsl_1.8-4.tar.gz' Content type 'application/x-tar' length 57051 bytes opened URL ================================================== downloaded 55Kb * Installing *source* package 'gsl' ... checking for gcc... gcc checking for C

I am trying to install the gls package (a wrapper for GNU scientific library special functions) package under Ubuntu 5.10. I have gls-bin (the debian GNU Scientific Library binary package). When I try to install the R package, I receive the following. > install.packages("gsl",dependencies=T) Warning in install.packages("gsl", dependencies = T) : argument

NO Hi. I'm not sure if this is an R-help or R-devel problem, so I'm starting here in the hope that someone can help (and willing to go to the other list if it's more appropriate). I think I am following all of the instructions in the various manuals, but clearly I am missing something. I have an Intel EM64T Dell with 2 dual-core Xeon processors running Red Hat EL5. I would

Hi, I am writing a function in C that is meant to be called by R. In the C function, I used a gsl function gsl_stats_mean. The code is as simple as below void gsl(double *m, int *dim){ int r, c; r = dim[0]; c = dim[1]; double mean = gsl_stats_mean(&m[0], 1, r); Rprintf("mean = %f\n", mean); } The C code is succesfully compiled and the output is as follows. $ R CMD SHLIB

Dear fellow R users, I am now investing time in learning how to use compiled C code to produces functions that can be used in R. I am just starting, and there is much that I need to learn, so I have a question that might be straight forward. I am learning how to use function in the C library GSL (gnu scientific library), to write C code, that I then plant to use in R. Is there any problem in

Thank you to everyone who responded to my previous post regarding the integration into R of C programs that use external libraries. I have another issue that I simply have not been able to figure out using documentation, list archives, and so forth. I have data that is stored in R lists. I would like to pass the list to C code using the .Call function, perform mathematical operations on the

Dear R-programmers, I am trying out certain methods in R, and the statistics require me to calculate n-(sample size) dimensional equations. They are not really very hard to solve - my home-brew implentation of Newton-Raphson in R succeeds most of time with simulated data. (Note that I am assured of a unique solution by theory). Problem comes in with real data, for which I should really implement