Aloha Christophe, Has this article appeared in print? If so, can you forward publication details?
All the best, Tom Christophe Pouzat <christophe.pou...@parisdescartes.fr> writes: > "Thomas S. Dye" <t...@tsdye.com> a écrit : > >> Christophe Pouzat <christophe.pou...@parisdescartes.fr> writes: >> >>> 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 >>> > >> Aloha Christophe, >> >> Thank you for an interesting and useful paper. I was happy with the >> distinction you draw between reproducible analysis and reproducible >> research, which certainly applies to my field of archaeology where >> unique sites are typically destroyed by the data collection effort. I >> also think the emphasis you place on data preprocessing is just the >> right approach; inclusion of the raw data in a reproducible analysis >> opens up many possibilities, which must be a benefit to a scientific >> community's pursuit of knowledge. >> >> May I offer a suggestion? Carsten Dominik published the Org Mode 7 >> Manual last year and it would be nice to see it cited in your paper. >> >> @book{dominik10:_org_mode_refer_manual, >> author = {Carsten Dominik}, >> title = {The Org Mode 7 Reference Manual: Organize Your Life >> with GNU Emacs}, >> publisher = {Network Theory Ltd.}, >> year = 2010 >> } >> >> All the best, >> Tom >> -- >> Thomas S. Dye >> http://www.tsdye.com >> > > Dear Tom, > > Thanks for these interesting and positive comments. I apologize for > forgetting the obvious reference to Carsten's reference manual. I will > definitely include it in the next version. > I hope that people in my field will come to think the way you do about > sharing their raw data. I'm just afraid that the way is still long… > but the goal is reachable. Raw data aside, org-mode is surely a tool > which should help people experimenting with the "reproducible research > paradigm". As I wrote to Eric (Schulte), M. Delescluse and I wrote a > first RR manuscript 6 years ago based on R/Sweave. The manuscript > never got submitted for different reasons, among them, the amount of > work required to learn R and LaTeX. Learning about org-mode convinced > me that it would be worth re-activating the project. > > 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 > -- Thomas S. Dye http://www.tsdye.com
