[Rd] Detecting development environment

[Ted Byers]

One option would be to use autoconf and automake, and related tools.  That
is exactly what they're designed for, in the simplest case.  In more
advanced cases, I have seen them used to verify not only the existance of
selected tools and libraries, but also whether or not the implementation of
selected functions is buggy (as you may be aware, some implementations of
the standard C library leave a bit to be desired, at least for some
functions).  But you do have a little work to do to write some of the input
files they need; and you can make them flexible in terms of supporting
telling them were certain resources are located.  That said, the
documentation for them is pretty good relative to the norm for unix like
platforms.

As for being cross platform, I know they're available (or can be built) for
unix like platforms, and on Windows via cygwin (which I suppose counts as
unix-like).  I don't know about other platforms, and I don't know if you can
get them to work on Windows without cygwin (maybe as an addition to
RTools?).

As for being "straight-forward", I had directed a student to begin studying
autoconf/automake upon finishing a study of Gnu make, and the first day he
did so, he met with success and asked me, " was it supposed to be this
straightforward?"  This, from a guy that has only begun studying
programming!  BTW: he told me he planned to study R once he had mastered C++
and QuantLib.  He has a strong interest in quantitative finance, and so
would be looking at those R packages related to quantitative finance.

I suppose whether or not it is 100% depends on the quality of inputs you
provide.

HTH

Ted

> -----Original Message-----
> From: r-devel-bounces at r-project.org [mailto:r-devel-bounces at r-
> project.org] On Behalf Of Hadley Wickham
> Sent: June-13-11 10:21 AM
> To: r-devel at r-project.org
> Subject: [Rd] Detecting development environment
> 
> Hi all,
> 
> Is there a straight-forward, cross-platform way of determining if a user
has all
> the tools needed to develop R packages (i.e. gcc etc)?
> It doesn't need to be 100%, but should give a rough idea.  One idea I had
was
> simply to see if system("R CMD install --help") worked.
> 
> Hadley
> 
> --
> Assistant Professor / Dobelman Family Junior Chair Department of
Statistics /
> Rice University http://had.co.nz/
> 
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