Thanks to everyone who attended our webinar The 'Big Analytics' Revolution Starts with R yesterday. If you missed the live session, you can download the presentation slides (PDF) and the 30-minute replay video (WMV) from the Revolution Analytics website. The presentation focuses on the isse of Big Data, and how businesses can use advanced analytics methods implemented in the...
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The ‘Big Analytics’ Revolution Starts with R: Webinar June 14
On Tuesday next week I'll be teaming up with Revolution Analytics' Mike Minelli to give a 30-minute webinar to introduce executives to R, Big Data, and applications of advanced analytics. If there's someone in your company who needs to know about the impact of R on getting value out of data, they can register here. Here's the agenda: The...
In case you missed it: May Roundup
In case you missed them, here are some articles from May of particular interest to R users. A review of "R Cookbook", a new how-to book for R programmers. A detailed example of using the RevoScaleR package to analyze a large airline data set. A new guide for R beginners, "How to Learn R", provides links to R resources,...
Review of 2011 Data Scientist Summit
Some time over the past 6 weeks I randomly saw a tweet announcing the “Data Scientist Summit” and shortly below it I saw that it would be held in Las Vegas at the Venetian. Being a Data Scientist myself is reason enough to not pass up this opportunity, but Vegas definitely sweetens the deal! On Wednesday I woke up...
Using R for Map-Reduce applications in Hadoop
Data Scientist Antonio Piccolboni recently published this comparison of the various language and interfaces available for programming Big Data analysis tasks in the map-reduce framework. The interfaces he reviewed included: Java Hadoop (mature and efficient, but verbose and difficult to program) Cascading (brings an SQL-like flavor to Java programming with Hadoop) Pipes/C++ (a C++ interface to programming on Hadoop)...
Location Tracking on Android, too!
This week it was revealed that the iPhone stores users’ locations, and this immediately caused a huge firestorm of commentary by tech geeks, panic among privacy advocates, and delight to data geeks like myself. Even better/worse, it seems that the iPhone caches location traces long-term, possibly back to the date the phone was activated.
I ditched my iPhone this past...
Where the heck has JD been?
It’s been pointed out to me that I haven’t had any blog posts in a while. It’s true. I’m fairly slack. But in the last few months I’ve changed jobs (same firm, new role), written an R abstraction on top of Hadoop, been to China, and managed to stay married. While that sounds pretty awesome,
My First Few Days with RStudio
As most readers are probably aware, the free IDE for R, called RStudio, was recently released for general use and it immediately made huge waves within the R community. IDE stands for Integrated Development Environment. IDEs typically provides a rich set tools developing in some target language. For standard programming languages like C++ (VisualStudio) and Java (Eclipse or NetBeans),...
In case you missed it: January Roundup
Catching up on roundups today. February roundup will follow soon, but in the meantime enjoy this trip down memory lane - DS. In case you missed them, here are some articles from January of particular interest to R users. Revolution Analytics is now offering annual sponsorship grants for local R user groups worldwide. Issue 2 of the R Journal...
Keep an Eye on the emerging Open-Source Analytics Stack
This post is contributed by Revolution Analytics CEO Norman Nie, and cross-posted from the Future of Open Source Forum. A lot of attention has been focused recently on Big Data, and rightly so: Big Data is a Big Deal. (See this LinuxInsider article, Big Data, Big Open Source Tools, for a compehensive overview of Big Data issues.) But what,...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
