R
R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
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Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/
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Jun 16, 2012 - R
A reasonably fast implementation of Cliff's delta effect size metric
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Spatial Analysis of SafeCare project
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Sep 19, 2013 - R
NBA stats: my course project for SEIS785 "Data Visualization" class at University of St. Thomas.
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An exploration of R code and package on github, using the github search and repo apis
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Small web apps that illustrate statistical concepts
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Single queue multiple servers simulation, or more commonly known as Able Baker problem
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Dec 30, 2013
Created by Ross Ihaka, Robert Gentleman
Released August 1993
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