Note: This post is NOT financial advice! This is just a fun way to explore some of the capabilities R has for importing and manipulating data. The Financial Times says it's time to "Fire your Adviser" because correlations among US stocks ar...

R news and tutorials contributed by (552) R bloggers

We've lined up what we think is an amazing series of R-related webinars over the next couple of months. These free 30-60 minute webinars will cover a wide range of topics: big-data analysis in R with the RevoScaleR package, Hadoop and Netezza; introductions to R for SAS users and for R users new to Revolution R; and applications of...

MapReduce is a powerful programming framework for efficiently processing very large amounts of data stored in the Hadoop distributed filesystem. But while several programming frameworks for Hadoop exist, few are tuned to the needs of data analysts who typically work in the R environment as opposed to general-purpose languages like Java. That's why the dev team at Revolution Analytics...

One of the most straightforward examples of how we use Bayes to update our beliefs as we acquire more information can be seen with a simple Bernoulli process. That is, a process which has only two possible outcomes. Probably the most commonly thought of example is that of a coin toss. The outcome of tossing

The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Using Revolution R with Hadoop: Revolution Analytics has released three open-source R packages, making it...

There was another question recently on StackOverflow that I had meant to discuss in a follow-up post here. User deltanovember asked about slow recursive functions and used the very classic Fibonacci number as an example. To recap, Fibonacci number a...

At last month's useR! 2011 conference at Warwick University, there were two talks on the RevoScaleR package for big data statistics in R. The first was a keynote presentation from Revolution Analytics' Chief Scientist, Lee Edlefsen. Here is the overview of his talk, Scalable Data Analysis in R: For the past several decades the rising tide of technology --...