A manuscript on "reproducible research" introducing org-mode

[Christophe Pouzat <christophe.pouzat@parisdescartes.fr>]

Dear all,

M. Delescluse, R. Franconville, S. Joucla, T. Lieury and myself (C.  
Pouzat) have just put a manuscript entitled: "Making  
neurophysiological data analysis reproducible. Why and how?" on a  
pre-print server: http://hal.archives-ouvertes.fr/hal-00591455/fr/
Although the paper has been written for a neurobiological journal, the  
reader does not have to be a neuroscientist to read and understand it.  
A toy example illustrating the use of org-mode + Babel (with Python  
and Octave) takes a fair part of the manuscript. Other tools like R +  
Sweave are presented and many more are mentioned.

I thank Eric Schulte for comments on the manuscript and Eric (again)  
together with the whole org-mode / Babel community for developing such  
a great tool.

Any comment, remark, suggestion on the manuscript is of course welcome.

Christophe

Most people are not natural-born statisticians. Left to our own  
devices we are not very good at picking out patterns from a sea of  
noisy data. To put it another way, we are all too good at picking out  
non-existent patterns that happen to suit our purposes.
Bradley Efron & Robert Tibshirani (1993) An Introduction to the Bootstrap

--

Christophe Pouzat
Laboratoire de Physiologie Cerebrale
CNRS UMR 8118
UFR biomedicale de l'Universite Paris-Descartes
45, rue des Saints Peres
75006 PARIS
France

tel: +33 (0)1 42 86 38 28
fax: +33 (0)1 42 86 38 30
mobile: +33 (0)6 62 94 10 34
web: http://www.biomedicale.univ-paris5.fr/physcerv/C_Pouzat.html