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
