Wes McKinney is a prominent figure in the scientific Python community, and has made tremendous contributions to several core statistical computing libraries in that language. This month, Wes will be speaking specifically about two packages he has crea...
Blog Archives
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 given default, a Monte Carlo application for stress-testing loan portfolios (in combination with Excel an...
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 basic functionality for developing R web applications on the desktop via the internal HTTP server, but t...
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 native code into your package.
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 presentation on "Data-Driven Journalism". From the WikiLeaks War Diaries, to geographical analyses of ...
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.
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; and provides examples of SWeave. This presentation was given to the Melbourne R Users Group (MelbURN)...
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. PyMC is the premier Python package for doing MCMC estimation, and Prof. Fonnesbeck is one of the pac...
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 Programming Meetup on October 7, 2010. Description: A challenge in statistics is to construct models that ar...
NHANES Data: Management with R
David Winsemius discusses the analysis of the NHANES data set to create models that better predict Hepatitis C infection.
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
