From: John Kubie <[EMAIL PROTECTED]>
Another question: I know a good number of labs that use Matlab and
its cousins. I have no experience in Matlab. Anybody have comparative
experience in RB and Matlab (or its relatives)?
Yes, I do
From what I've heard,
Matlab programs are much slower than compiled code.
I do not think so for most problems.
Matlab has very high level operations such as a wide range of matrix
manipulations, so it is very fast for a wide range of applied
mathematical problems. There is also a compiler option at additional
cost, if speed is still a problem.
In my view, its weaknesses are mainly the poor user interface of
programs written in Matlab and the high cost of a license.
The advantages
appear to be pre-written graphing, statististics and the like and a
spreadsheet-like data structure.
These are other strengths
For statisticians, many people who develop their own software are
using R as the basis, which is open source and easily extensible and
has many matrix and graphing options built in.
However, I find RB unsurpassed for quick custom solutions which allow
me to write on Mac, deploy on Win.
I believe that including standard matrix operations in RB without
needing plugins and having a scientifically oriented tutorial would
help sell it to the scientific community.
Thanks
John
--
Professor John Bacon-Shone, Director, Social Sciences Research Centre
8/F Meng Wah Complex, The University of Hong Kong
Pokfulam Road, Hong Kong, Web: http://www.ssrc.hku.hk/
Tel: 852-28592412 Fax: 852-28584327 E-mail: [EMAIL PROTECTED]
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