Paper on org-mode and reproducible research

January 26, 2012
By

(This article was first published on Rainer's Blog » R, and kindly contributed to R-bloggers)

As I was talking recently about reproducible research, I have to post this.

A new paper by Eric Schulte, Dan Davison, Thomas Dye, Carsten Dominik. If you haven’t heard about them, you haven’t been on the org-mode mailing list. They could be called the main contributors to org-mode and the part of org-mode called babel, without taking credit away from the  numerous other contributors.

The paper is called

A Multi-Language Computing Environment for Literate Programming and Reproducible Research

and you can find it at http://www.jstatsoft.org/v46/i03 and it is open access.

here is the abstract:

We present a new computing environment for authoring mixed natural and computer language documents. In this environment a single hierarchically-organized plain text source file may contain a variety of elements such as code in arbitrary programming languages, raw data, links to external resources, project management data, working notes, and text for publication. Code fragments may be executed in situ with graphical, numerical and textual output captured or linked in the file. Export to LATEX, HTML, LATEX beamer, DocBook and other formats permits working reports, presentations and manuscripts for publication to be generated from the file. In addition, functioning pure code files can be automatically extracted from the file. This environment is implemented as an extension to the Emacs text editor and provides a rich set of features for authoring both prose and code, as well as sophisticated project management capabilities.

Definitely worth reading, even though R only plays a small role in it, but the principles are important.

 

Cheers and enjoy life.

To leave a comment for the author, please follow the link and comment on their blog: Rainer's Blog » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)