Reproducible Statistical Computing Repository

Blog & Share Statistical Computations at


This website facilitates the dissemination of statistical computations, and allows you to:
  • blog/archive statistical computations produced in R modules (at
  • discuss your empirical results with friends & colleagues
  • reproduce any of the +235K 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.

About this project is funded by the following institutions:
  • K.U. Leuven Association (grant of the OOF 2007/13)
  • Leuven Institute for Research on Information Systems (LIRIS), Integrated Economics Faculty, Catholic University of Leuven
  • Aston University, Birmingham
  • 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)
  • Antoon De Rycker (Taylor's University, research)
  • Claude Doom (HUB, usability research)
  • Ian E. Holliday (Aston University, course development, 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 can be sent to resa at pandora dot be.