R help - Mar 2003 - Preferred C++ compiler under Windows 2000

Greetings,

I know that most people on here are strong advocates of Unix or a similar OS,
but I am interested in calling C++ or using C++ to call R.  What is the
preferred or the compiler that works the best.  In the documentation it appears
that VC++ is recommended, but in some posts I have seen statements that claim
VC++ is not recommended.  I have a DEV C++ IDE, but I would like to borrow from
the experience of others if possible.

Thanks,
Nicholas Croglio
--

Nicholas Croglio wrote:
> Greetings,
> 
> I know that most people on here are strong advocates of Unix or a similar
OS, but I am interested in calling C++ or using C++ to call R.  What is the
preferred or the compiler that works the best.  In the documentation it appears
that VC++ is recommended, but in some posts I have seen statements that claim
VC++ is not recommended.  I have a DEV C++ IDE, but I would like to borrow from
the experience of others if possible.
> 
> Thanks,
> Nicholas Croglio
The MinGW port of gcc (including g++) works perfectly.
For more details see the readme files, the manual "Writing R 
Extensions", or the book
Venables & Ripley (2000): S Programming, Springer.

Uwe Ligges

If you mean the preferred compiler *for use with R*, it is g++ from the
preferred suite described in README.packages.  In case you didn't
understand, gcc is the Gnu Compiler Collection, C, C++, Fortran (and in 
some bundles Java).

We also prefer standard email formatting, with line breaks.

On Thu, 6 Mar 2003, Nicholas Croglio wrote:
> I know that most people on here are strong advocates of Unix or a similar
OS, but I am interested in calling C++ or using C++ to call R.  What is the
preferred or the compiler that works the best.  In the documentation it appears
that VC++ is recommended, but in some posts I have seen statements that claim
VC++ is not recommended.  I have a DEV C++ IDE, but I would like to borrow from
the experience of others if possible.
-- 
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