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: [EMAIL PROTECTED]
mattf <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED]
08/11/2004 19.43
To: [EMAIL PROTECTED]
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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