[R] Rgraphviz on mac 10.6.2
Martin Morgan
mtmorgan at fhcrc.org
Wed Dec 23 18:32:18 CET 2009
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The top of the page you mention has
Users on all platforms must install graphviz; see the README file,
available in the source distribution of this file, for details.
A 'binary' installation of Rgraphviz requires that the version of
graphviz on the machine on which it is installed matches the version on
the machine on which it was built; from the README file:
OSX installation
================
Most users would want to use a binary version of Rgraphviz. This means
obtaining the exact same version of Graphviz as is being used on the
build machine. Rgraphviz will inform you of any version
inconsistencies when loaded.
At the moment the Graphviz website only distribute binaries for
Leopard. For Bioconductor 2.5 you will need version 2.22.2 from their
website.
Rgraphviz can also be installed from source, e.g., biocLite('Rgrahpviz',
type='source'). There is then no specific requirement for graphviz
version, but you must have tools for building binary packages available
on your computer. See
http://r.research.att.com/tools/
Martin
kulwinder banipal wrote:
> Rgraphviz Install works fine (http://www.bioconductor.org/packages/release/bioc/html/Rgraphviz.html)
> Latest version of graphviz is installed as well
> however I get following error when loading Rgraphviz (on Mac 10.6.2)
> Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library '/Users/jb/Library/R/2.9/library/Rgraphviz/libs/i386/Rgraphviz.so': dlopen(/Users/jb/Library/R/2.9/library/Rgraphviz/libs/i386/Rgraphviz.so, 6): Library not loaded: /Library/Frameworks/R.framework/Versions/2.10/Resources/lib/libR.dylib Referenced from: /Users/jb/Library/R/2.9/library/Rgraphviz/libs/i386/Rgraphviz.so Reason: image not foundIn addition: Warning message:package 'Rgraphviz' was built under R version 2.10.0 Error: package/namespace load failed for 'Rgraphviz'
>
> I will appreciate feedback from someone who has this package working on mac 10.6.2
>
> Thanks
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--
Martin Morgan
Computational Biology / Fred Hutchinson Cancer Research Center
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