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[Axiom-mail] Re: Axiom, Rosetta and Quantian
From: |
A.J. Rossini |
Subject: |
[Axiom-mail] Re: Axiom, Rosetta and Quantian |
Date: |
Fri, 12 Mar 2004 21:12:20 -0800 |
User-agent: |
Gnus/5.1003 (Gnus v5.10.3) XEmacs/21.4 (Security Through Obscurity, linux) |
Dirk Eddelbuettel <address@hidden> writes:
>>
>> As an interesting aside, one of my religious beliefs about this whole
>> Computational Mathematics area is that we have to start combining the
>> research papers with the code. The first cut I've made at this is to
>> use Knuth's literate programming tools (actually, Norman Ramsey's
>> noweb version). I believe that unless we keep the research with the
>> code we won't be able to maintain and modify these systems.
>
> You'd get on well with Tony Rossini who is also a huge fan of lit.prog. and
> noweb :)
Correct. Best reference is my 2001 conference paper on Literate
Statistical Analysis, which formed the basis for Sweave and a general
movement in this area.
http://www.ci.tuwien.ac.at/Conferences/DSC-2001/Proceedings/Rossini.pdf
and
http://www.bepress.com/uwbiostat/paper194/
> R (www.r-project.org) has a most useful extension called Sweave you may like
> (do some casual googling). Works in Quantian as shipped.
>
>> What's that got to do with Quantian? Two things are related.
>>
>> Dr. Traverso at the University of Pisa in Italy is trying to create
>> a Journal based on a similar idea where you submit papers that include
>> the source code. Quantian would be an ideal way to "provide a base"
>> for people to execute the embedded code. Ideally you could just
>> "drag and drop" the paper onto one of the systems and run the code but
>> that is a long way in the future.
You need to have him look at the Compendium concept (Literate
Statistical Analysis extended to be a package including data, code,
and description), which is a nice idea (from Robert Gentleman and
Duncan Temple-Lang).
No reference yet, but soon...
best,
-tony
--
address@hidden http://www.analytics.washington.edu/
Biomedical and Health Informatics University of Washington
Biostatistics, SCHARP/HVTN Fred Hutchinson Cancer Research Center
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