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Statistics and Data Analysis in Python with pandas and statsmodels Wes McKinney is a prominent figure in the scientific Python community, and has made tremendous contributions to several core statistical computing lib...
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Experiences with using SAS and R in insurance and banking Hong Ooi talks about some of the more interesting projects that he has used R for in the last year. These include fitting models for mortgage loss giv...
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Flying off the Rack: R and the web in 2011 If there is ever a time to learn R and web application development, it is now...in the age of Big Data. The upcoming release of R 2.13 will provide ba...
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Creating R Packages Rory Winston provides a detailed introduction to creating R packages. He provides a simple of, from start to finish, as well as how to incorporate na...
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Data-Driven Journalism The December 2010 meeting of the Bay Area R Users Group featured Peter Aldhous, San Francisco bureau chief of New Scientist magazine who will give a p...
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What my R code looks and feels like (Vanilla) Geoff Robinson discusses how to write simple and reusable R code. He provides several examples with code.
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Reproducible Research and R Workflow Jeromy Anglim discusses best practices and tools used to support reproducible research in R. He discusses tools for R scripting and version control; ...
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Bayesian estimation with Markov Chain Monte Carlo using PyMC Prof. Chris Fonnesbeck briefly introduces Bayesian inference, then discusses how to estimate Bayesian models with Markov Chain Monte Carlo using PyMC....
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Creating structured and flexible models: some open problems Prof. Andrew Gelman, from both the Statistics and Political Science departements at Columbia presented this talk to the New York R Statistical Program...
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NHANES Data: Management with R David Winsemius discusses the analysis of the NHANES data set to create models that better predict Hepatitis C infection.
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