similar to: Memory problems with a custom R package

Hi, I have installed the necessary tools for making a R package under windows and am sure these tool have been correctly configured. I am very new to try writing a package, so the error may be very obvious for you. Forgive me if it is too easy. My package name is *stam*, and i put it under the folder "D:/StatSoft/R/MyPackage/". I have two folders,*R* and *man*. Besides, i also have

hi, i'm having some trouble getting a package to load a shared library object in .onLoad(...) i have a shared object file, say "mylib.so". if i start an R session, and via the CLI specify the actual library via: > dyn.load("mylib.so") everything works quite well (i.e. i can then follow with some .Call (...) methods) now, i'd like to include this shared library in

Hi: I've been able to compile the attached "helloworld.c" file converted from "helloworld.cpp". My question is how does one usually use __main() and CODE_FOR_MAIN() in tying up with the rest of the code? Attached here are the original "helloworld.cpp" and "helloworld.c" files. Thanks. Napi On Sun, 2006-11-05 at 09:14 -0800, Reid Spencer wrote: >

Hi Napi, On Mon, 2006-11-06 at 10:44 +0800, Mohd-Hanafiah Abdullah wrote: > Hi: > > I've been able to compile the attached "helloworld.c" file converted > from "helloworld.cpp". Great. > > My question is how does one usually use __main() and CODE_FOR_MAIN() > in tying up with the rest of the code? I'm not quite sure what you're asking.

Hi, I am trying to set up a C++ library for my R code. I followed the R-extension manual but found out that the example of "X.cpp, X_main.cpp" is somewhat too simple. Here is my code: //lib4R.h testing for interfacing C++ with R -- using C++ library in R #include <iostream> using namespace std; class lib4R { public: lib4R(); ~lib4R(); int

As of LLVM 3.2, is it possible to use iostream with the MCJIT or interpreter execution engines? I'm getting some errors... Each of these commands correctly prints "hello": echo -e '#include <stdio.h>\nint main(){ printf("hello"); }' | clang -cc1 -emit-llvm-bc -x c++ | lli -use-mcjit echo -e '#include <iostream>\nint main(){ std::cout <<

Hello! I am truing to compile an R-package having c-code. I put foo.c in src/ folder and useDynLib("foo") in NAMESPACE file. When trying R CMD check, I got an error message that shared object 'foo' is not found. Then I did R CMD SHLIB foo.c first. However, after that, I got warnings from R CMD check that there is an object file in /src folder. Even worse is if I run R CMD

Dear All, I am trying to write my first R package and I bump into loading shared library problem( working on Mac OS X 10.4.10 as well as Linux Ubuntu). I want to makes use of (incorporate) a shared library matchinglib.so in the package. Library was created via R CMD -SHLIB. Following 'Writing R Extensions' I place matchinglib.so in the 'libs' directory and use NAMESPACE file

Folks, I'm fairly sure that I'm doing something stupid, but I'm getting a few really strange results from *some* of the distributions, but by no means all, when I link directly to the R shared library. I've tried this on both Windows with the precompiled Mingw binary of R-2.5.0 (compiling my code with MinGW-3.4.2), and by building R-2.5.0 on Mandriva Linux with gcc-3.4.4 and

After getting one list done, I am now struggling to form a data frame in C. I tried to do a list of lists which gives me : $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6718 $<NA>[[3]] [1] 3e+06 $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6717 $<NA>[[3]] [1] 5e+06 $<NA> $<NA>[[1]] [1] "BID"

My code is not on Github. I am using the tarball as of now. The following it the error that occurred: http://pastebin.com/cVJrjUZX On Sun, Apr 13, 2014 at 8:16 PM, James Aylett <james-xapian at tartarus.org>wrote: > On 13 Apr 2014, at 15:37, Pallavi Gudipati <pallavigudipati at gmail.com> > wrote: > > > A linker error is encountered even after following the above

Hello, I am a newbie to LLVM and right now I am on the hook to parse some IR code and do some instrumentations. However, my problem is that no matter how I tweak my parsing code, it simply cannot print out anything. So here is my C code: int your_fun(int arg2) { int x = arg2; return x+2; } And here is my parsing code: #include <llvm/IR/Module.h> #include

Hi, Does anyone know how I can retrieve a function name, for example If I have a function f as follows: f <- function( myfunc ) { print( name_of(myfunc) ); } I want to know what I should have as "name_of" such that I could call this with : f( median ) and it would print "median" or f( my_function_name ) and it would print "m_function_name". So far all I

Hi everyone, Now I know there is information on this in the help files - which I have read. I am very close to implementing this but can't quite get how to remove this final hurdle. I have a DLL called "X.DLL" which I have no original code for, just the DLL. I have created a wrapper C file for the calls in X.DLL, and have successfully (I think) created a wrapper DLL for X

Hello We have a C++ class with several methods that manipulate an object. How is it possible to create several instances of that class *from R* in the C++ realm, which can then be accessed via a given name character? Symbolic example (we hope this illustrates our problem): // C++ side: class Foo{ ... } // perhaps: void my_new_instance_wrapper("the_character") // plain to see that I am

Hi, when building the second release candidate of llvm 2.2 I noticed that exception handling seems to be broken on Linux x86-64. The exception is thrown but never caught. This can be seen by this trivial example: #include <iostream> using namespace std; class A { }; int main() { cout << "A" << endl; try { cout << "B" << endl;

Why there still been rank when using Query::MatchAll() ?

I get a crash when I try to link multiple modules registered in their individual contexts. Documentation for Linker::LinkModules doesn't mention anything about contexts, and the first link succeeds. But the second link crashes. Is this not the right way to merge such modules? If not, then what is the right way? In any case, documentation for Linker::LinkModules should say if contexts are

Hi, I need to collapse a list into a string and then reparse it back into the list. Normally when I need to do this I simply use write.csv and read.csv, but I need to do this in memory within R rather than writing out to file. Are there any bespoke commands that any knows of that does something like this or any tips for doing this that anyone can suggest? I basically don't care

In the "Writing R Extensions" manual appears this example, to get access to C++ function using the R commands: R> dyn.load(paste("X", .Platform$dynlib.ext, sep = "")) constructor Y R> .C("X_main") constructor X destructor X list() That gives me access to the function "X_main", but how to get access to methods and properties