Sorry for previous empty messages!
Our group used R  "only" for the statistical analysis  of simulations 
reults performed 
on random boolean networks (RBN) modified with scale-free topology, 
because the network 
we have analysed had ~6000 nodes and a simulator engine written entirely 
in ANSI C work 
for ~1 hours on a single P4 machine for each network.
I think R is very suitable for analyses on large dataset but without very 
intensive calculation, 
to perform these is better to write your code with fortran or c and then 
link it with some R-script 
for analysis (look at the R-manual "Writing R Extensions").
A.S.

----------------------------

Alessandro Semeria 
Models and Simulations Laboratory
Montecatini Environmental Research Center (Edison Group), 
Via Ciro Menotti 48,
48023 Marina di Ravenna (RA), Italy
Tel. +39 544 536811
Fax. +39 544 538663
E-mail: alessandro.semeria@cramont.it





mattf <mattf@cnr.colostate.edu>
Sent by: r-help-bounces@stat.math.ethz.ch
08/11/2004 19.43

 
        To:     r-help@stat.math.ethz.ch
        cc: 
        Subject:        [R] small world models?


Hi,

I've searched the archives for a discussion on the use of R for developing 

"small world" or "scale-free" network models but have been unable to dig 
anything up.  Is anyone working on these types of models using R, and if 
so, 
have you found this language amenable to their development?

thanks,
matt farnsworth

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