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

Author

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  • Schulte, Eric
  • Davison, Dan
  • Dye, Thomas
  • Dominik, Carsten

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.

Suggested Citation

  • Schulte, Eric & Davison, Dan & Dye, Thomas & Dominik, Carsten, 2012. "A Multi-Language Computing Environment for Literate Programming and Reproducible Research," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 46(i03).
    • Handle: RePEc:jss:jstsof:v:046:i03
    DOI: http://hdl.handle.net/10.18637/jss.v046.i03
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    Cited by:

    1. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
    2. Valérie Orozco & Christophe Bontemps & Élise Maigné & Virginie Piguet & Annie Hofstetter & Anne Marie Lacroix & Fabrice Levert & Jean-Marc Rousselle, 2017. "How to make a pie? Reproducible Research for Empirical Economics & Econometrics," Post-Print hal-01939942, HAL.

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