Skip to Content

Blogs

In a recent interview with DataInformed's Ian Murphy, I discussed the history of the open-source R project and how Revolution Analytics is building on R to compete with legacy statistical software such as SAS and SPSS.

We've written before about how you can use the Rcpp package to speed up R, by converting performance-critical snippets of R code to C++.

It's been a little while since we've rounded up the new local R user groups around the world, so here are the latest ones on the scene:

451 Research analyst Matt Aslett created this Database Landscape Map:

Wolfram's Mathematica is the lastest software to add a connection to R, joining a long list of applications providing R access to their users. Mathematica 9 will use a Java-based link allow users to exchange data between Mathematica and R and to execute R code from within Mathematica.

O'Reilly's Edd Dumbill observes that with the ubiquity of powerful computers now tied into all levels our daily lives, programming is getting dangerous: today's programmers are "like ambitious waiters stacking one teacup on top of the other". His prescription? All programmers will have to adopt programming paradigms that have previously been the domain of specialists: distributed computing, device computing, democratized computing and data computing:

In two weeks (on January 24), Think Big Analytics' Jeffrey Breen will present a new webinar on using R with Hadoop. Here's the webinar description:

The go-to bible for this data scientist and many others is The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. Each of the authors is an expert in machine learning / prediction, and in some cases invented the techniques we turn to today to make sense of big data: ensemble learning methods, penalized regression, additive models and nonparemetric smoothing, and much much more.

This year's R/Finance conference on applied finance with R is scheduled for May 17-18 in Chicago, and promises once again to be the go-to conference for anyone using R in the finance industry. The keynote speakers have been announced, and it's a great lineup: