Reproducible Statistical Computing Repository

Blog & Share Statistical Computations at FreeStatistics.org

Introduction

This website facilitates the dissemination of statistical computations, and allows you to:
  • blog statistical computations produced in R modules (at www.wessa.net)
  • discuss your empirical results with friend & colleagues
  • reproduce any of the computations that are archived in this blog
  • reuse the statistical computations to create derived works
  • publish compendia of empirical, reproducible research for the purpose of research dissemination and education
The archive can be browsed by time (chronological order). In addition, all statistical computations and compendia are indexed in our internal search engine. This allows you to search this archive through full text search phrases or keywords. Certain types of information are kept confidential and can only be accessed with proper authorization or in anonymous form.

News

  • The Reproducible Computing workshop will be held at the Applied Statistics 2009 conference. The workshop offers attendees the opportunity to get hands-on experience with this new technology. The main focus is on Reproducible Computing applications in statistics education and educational research.
  • The source code of the Compendium Platform is to be released by the end of September 2009.
  • As of October 2009, this project will be managed by the Office for Research, Development, and Education. More information about this transition will be released in the near future.
  • A new project is about to start in September. It is closely related to FreeStatistics.org and features various types of publishing opportunities for students and researchers...
  • The next presentations about the Compendium Platform, Reproducible Computing and related research:
    • ICEL 2009, International Conference on E-Learning, Toronto
    • ICDE 2009, Maastricht
    • Use R Conference, Rennes
    • Applied Statistics 2009, Bled

About this project

FreeStatistics.org is funded by the following institutions:
  • K.U. Leuven Association (grant of the OOF 2007/13)
  • Integrated Economics Faculty, K.U. Leuven [Catholic University of Leuven, HUB (formerly known as EHSAL, VLEKHO & KUB), Lessius]
  • gifts from private companies

Credits (in alphabetical order by last name):

  • Bart Baesens (K.U.Leuven, data mining research)
  • Eric Bloemen (HUB, usability research)
  • Eddy Borghers (University of Antwerp, case development)
  • Christophe Croux (K.U.Leuven, statistics research)
  • Claude Doom (HUB, usability research)
  • Dirk Janssens (Lessius, course development)
  • Christine Lourdon (KdG, course development)
  • Koen Milis (HUB, usability research)
  • Stephan Poelmans (HUB, usability research)
  • Riko van Dijk (Lessius, quality research)
  • Guido Van Rompuy (Lessius, survey research)
  • Ed van Stee (K.U.Leuven Association, programming)
  • Larry Weldon (Simon Fraser University, cases and R modules)
  • Patrick Wessa (project leader, programming, research)


Feedback

Feedback can be sent to resa at pandora dot be.