[R] R and package don't know they're built on same system

[Prof Brian Ripley]

You may also want to check why the error message refers to Rpmi, since you 
said you have just built Rmpi, not the same thing!

Something is wrong about the story we are being told: if that is really 
the error message which was produced then pilot error is involved, and if 
not inaccurate reporting is involved.  My guess is that there is a 32-bit 
package (sic, not library) Rpmi.

On Thu, 18 Mar 2004, Liaw, Andy wrote:

> One thing to make sure is that all compilers used match; i.e., all 32-bit or
> all 64-bit.  On our SLES8 pre-installed on Opteron, g++ was left out of the
> 64-bit toolchain.  R itself compiled fine (as 64-bit), but some packages
> failed to install.  It was strange because the packages were built, but
> failed to load.  I was only able to track it down because I happen to know
> that the packages that failed contain C++ code, so they were compiled with
> the 32-bit g++, and thus cannot be loaded into 64-bit R.
> 
> HTH,
> Andy
> 
> > From: Ross Boylan
> > 
> > I just had the interesting experience of building a package and R on
> > the same system, and having R refuse to load the resultant dynamic
> > library because it was thought to be for a different system.
> > 
> > The system was non-standard and beta, being a Linux-based 64 bit
> > Opteron system.  It uses the gnu tool chain.  The dynamic library was
> > built from C source.
> > 
> > When I tried to load the library R (1.8.1) complained
> > "package Rpmi was built for i686-pc-linux-gnu"
> > Inspection of R.version$platform, which is the thing the i686.... is
> > being compared to, shows that it is x86_64-unknown-linux-gnu.
> > 
> > I worked around this by removing the test causing the error (in
> > library.R), but, considering I built both R and Rmpi (an unofficial
> > version 0.4.6 from the author) within minutes of each other, it was
> > very surprising to find they had different notions of their system.
> > 
> > Any idea what's behind this, or how to fix it?

-- 
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