R help - May 2001 - BLAS where

Hi,

I want to install "Matrix" using
> install.packages("Matrix")
After a while I get:
checking whether we are using GNU C... yes
checking whether gcc accepts -g... yes
checking for ATL_xerbla in -latlas... no
checking for dgemm_ in -lcxml... no
checking for dgemm_ in -ldxml... no
checking for dgemm_ in -lscs... no
checking for dgemm_ in -lcomplib.sgimath... no
checking for zherk in -lblas... no
checking for dgemm_ in -lblas... no
could not find your BLAS library
ERROR: Configuration failed for package `Matrix'

Where does the compiled code of BLAS have to reside?

(I used blas.tgz, faq.html from http://www.netlib.org/blas/)

May be it is stated in some help file, but I missed that.

Thank you very much.
--christian
Dr.sc.math.Christian W. Hoffmann
Mathematics and Statistical Computing
Landscape Modeling and Web Applications
Swiss Federal Research Institute WSL 
Zuercherstrasse 111
CH-8903 Birmensdorf, Switzerland
phone: ++41-1-739 22 77    fax: ++41-1-739 22 15
e-mail: christian.hoffmann_at_wsl.ch__prevent_spamming
www: http://www.wsl.ch/staff/christian.hoffmann/

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On Thu, 17 May 2001, Christian Hoffmann wrote:
> I want to install "Matrix" using
> > install.packages("Matrix")
>
> After a while I get:
> checking whether we are using GNU C... yes
> checking whether gcc accepts -g... yes
> checking for ATL_xerbla in -latlas... no
> checking for dgemm_ in -lcxml... no
> checking for dgemm_ in -ldxml... no
> checking for dgemm_ in -lscs... no
> checking for dgemm_ in -lcomplib.sgimath... no
> checking for zherk in -lblas... no
> checking for dgemm_ in -lblas... no
> could not find your BLAS library
> ERROR: Configuration failed for package `Matrix'
>
> Where does the compiled code of BLAS have to reside?
As a library in your library path (link time and if a dynamic library run
time too). Most probably /usr/local/lib.

If you download the code and unpack it before installing you can look
at config.log to see what it tried.

Beware that recent versions of Matrix (but not the latest -15) were not
linked against the blas library found, as so failed at library-load time.

Hint: R 1.3.0 will make much more use of blas, and it is a good idea
to make a shared blas library if you can (to avoid code duplication).

-- 
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 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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