On Wed, 29 Dec 2010, Agustin Lobo wrote:
issue of your R installation,
possibly a multi-architecture issue
as you suggest?
Please note I'm not personally in a hurry any more as we can work with
the rgdal from kyngchaos.
I will have access to an OSX laptop in a little over a week, and will try
out the CRAN rgdal binaries. Just one report of installation failure isn't
enough. I think that maybe someone on R-sig-mac might know why rgdal.so is
looking for libR.dylib; I don't use OSX, and don't have easy access to such
a machine, which is why I asked for others to comment.
Roger
I just want to report the error to help
having an rgdal installation for MACOSX as
simple as for Windows.
I understand installing from source will always be a bit more
difficult on MACOSX than on linux as there are some basic tools and
libraries that are missing on regular MAC systems that must be
previously installed, but this is not my concern now as I'm focusing
on installations from binaries.
Thanks!
Agus
2010/12/29 Roger Bivand <Roger.Bivand at nhh.no>:
On Wed, 29 Dec 2010, Agustin Lobo wrote:
Please do read the error message:
unable to load shared object
'/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i$
dlopen(/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal$
6): Library not loaded: libR.dylib
Referenced from:
/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i3$
The image that is not found is libR.dylib, the main R dylib against which
rgdal.so is linked. So this is still an issue of your R installation,
possibly a multi-architecture issue (is libR.dylib the i386 version,
guessing - is libR64.dylib the 64-bit Intel version?).
Could any OSX users who are using CRAN extra rgdal please help Agus to
resolve this - it could be that local path modifications are hiding
libR.dylib, or that R was installed 64-bit only, and the INSTALL_opts=
argument to install.packages() was not set correctly? I assume that the
CRAN
extras OSX rgdal binary is built against a standard R OSX Intel install,
which is multi-architecture.
For a fully updated rgdal, the best combination remains installing the
full
GDAL framework from Kyngchaos, the full tools collection:
http://r.research.att.com/tools/
http://cran.r-project.org/bin/macosx/tools
and install from CRAN source. For a lab, the instructor would rather
build a
local OSX rgdal binary package using the tools collection on one
development
machine with all the correct path variables set (R CMD check rgdal; R CMD
INSTALL --build rgdal), paying attention to multi-architectures, and
distribute to lab machines from there. This means that the lab instructor
can keep rgdal updated if need be, as both Kyngchaos and CRAN extras
rgdal
OSX binary packages typically lag CRAN source.
Please also note that there are very many very old GDAL binaries out
there
that users pick up and apply, missing all the subsequent bug-fixes and
improvements - GDAL 1.8.0 release candidate 1 is now out, so we are
looking
at an upgrade to 1.8.0 during January, which Kyngchaos will most likely
pick
up quickly, probably with a current rgdal binary.
Roger
(my confusion was a consequence of mixing both installations in the
same session):
setRepositories(ind=1:2)
install.packages("rgdal")
--- Please select a CRAN mirror for use in this session ---
probando la URL
'http://www.stats.ox.ac.uk/pub/RWin/bin/macosx/leopard/contrib/2.12/rgdal_0.6-31.tgz'
Content type 'application/x-gzip' length 10203689 bytes (9.7 Mb)
URL abierta
==================================================
downloaded 9.7 Mb
The downloaded packages are in
/var/folders/iR/iRxOvaG9F10viNoa7WceNU+++TI/-Tmp-//RtmpqIhqn9/downloaded_packages
Loading required package: rgdal
Loading required package: sp
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object
'/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i386/rgdal.so':
dlopen(/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i386/rgdal.so,
6): Library not loaded: libR.dylib
Referenced from:
/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i386/rgdal.so
Reason: image not found
R version 2.12.1 (2010-12-16)
Platform: i386-apple-darwin9.8.0/i386 (32-bit)
locale:
[1] es_ES.UTF-8/es_ES.UTF-8/C/C/es_ES.UTF-8/es_ES.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] sp_0.9-76
loaded via a namespace (and not attached):
[1] grid_2.12.1 lattice_0.19-13 tools_2.12.1
Note that rgdal.so is where it should be:
imac-de-agustin-lobo:~ agustinlobo$ ls -l
/Library/Frameworks/R.framework/Versions/2.12/Resources/library/rgdal/libs/i386/
total 15088
-rwxr-xr-x 1 agustinlobo admin 7722168 4 dic 15:57 rgdal.so
This error is not solved by setting the GDAL path.
Agus
--
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no