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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