R-sig-mac is the right list for Mac-specific questions.   But

Command-line R on Snow Leopard is 64-bit
R.app is 32-bit.

So either use R32 CMD INSTALL or use R64.app.

(And as 'R' is 32-bit on Leopard, it is rather easy to get confused.)

On Tue, 24 Aug 2010, Marie-Hélène Ouellette wrote:

Dear all,

I'm trying to compile FORTRAN code to be used in R, failing miserably. I got
a simple code function to try to figure out what is going wrong. Here is the
code (available on the web) :



     subroutine bar(n, x)

     integer n

     double precision x(n)

     integer i



     do 100 i = 1, n

         x(i) = x(i) ** 2

 100 continue



     end



1.     I compiled the code using 'R CMD SHLIB bar.f' in the terminal. This
created files .o and so of the same name. Got the following output in the
terminal :



R CMD SHLIB bar.f

gfortran -arch x86_64   -fPIC  -g -O2 -c bar.f -o bar.o

gcc -arch x86_64 -std=gnu99 -dynamiclib -Wl,-headerpad_max_install_names
-undefined dynamic_lookup -single_module -multiply_defined suppress
-L/usr/local/lib -o bar.so bar.o -lgfortran
-F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework
-Wl,CoreFoundation





2.     Tried to dynamically load the code. In the R console, typed

dyn.load("~/Documents/Marietravail/articles/MRTspatial/SIMSSDenR/bar.so")

Erreur dans
dyn.load("~/Documents/Marietravail/articles/MRTspatial/SIMSSDenR/bar.so") :

impossible de charger la biblioth?que partag?e
'/Users/maryh2002/Documents/Marietravail/articles/MRTspatial/SIMSSDenR/bar.so':
dlopen(/Users/maryh2002/Documents/Marietravail/articles/MRTspatial/SIMSSDenR/bar.so,
6): no suitable image found.  Did find:
/Users/maryh2002/Documents/Marietravail/articles/MRTspatial/SIMSSDenR/bar.so:
mach-o, but wrong architecture



I have :

Mac OS : 10.6.4

R 2.11.0 GUI 1.33 Leopard build 32-bit (5582)

Xcode version 3.2.3 64-bit

Installed gfortran 4.3.2



I hope this is all you need, feel free to ask me for any more info. Thank
you for your time,

MH

        [[alternative HTML version deleted]]



--
Brian D. Ripley,                  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
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