[Rd] R as OS X Framework
Prof Brian Ripley
ripley at stats.ox.ac.uk
Sun Nov 30 12:14:22 MET 2003
On 30 Nov 2003, Peter Dalgaard wrote:
> Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:
> > On Sat, 29 Nov 2003, Simon Urbanek wrote:
> > > The current R needs R_HOME to be set before using it even in its
> > > embedded form. Now this defeats the idea of location independence of
> > > the framework. The application doesn't have to care whether the
> > > framework is in /Library/Frameworks, ~/Library/Frameworks or any
> > > user-defined framework location. Therefore it would be nice to have a
> > > tiny function in the R shlib, that would tell me where the shlib lives
> > > (either by using system's API to determine its own location, or at
> > > least the path used on installation).
> > >
> > > BTW: This is not Mac specific - I was fighting this on Windows (and
> > > unix for that matter) as well - it is possible to run an .exe linked to
> > > R.dll from anywhere, if R.dll is in the PATH. But then, one has to
> > > determine R_HOME somehow (yes, there is the registry, but that's not
> > > really safe if more R versions are installed).
> > How do you do that? For R's own executables on Windows R_HOME is
> > determined from where they are loaded from. You cannot AFAIK determine
> > from within an executable where the R.dll was linked from. That's why the
> > rproxy.dll uses the registry. I believe you have even less information on
> > Windows.
> ..than on Windows? Did you mean Unix there?
Yes, sorry, `than' was missing. I meant on MacOS X.
> Finding the full path name of the current executable is a well-known
> impossible under Unix (there's no enforced relation between the
> executable and what goes in argv). Doesn't keep applications from
> trying anyway, and mostly succeeding. E.g. Tcl has Tcl_FindExecutable.
But it is not the executable's but the DLL's full path that it is used to
find R_HOME. On Windows you could in principle find loaded occurrences of
R.dll, but I don't know how to do that on Unix (and it is a lot less
likely to be unique).
Brian D. Ripley, ripley at 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)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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