Blog Archives

9 more ways to bring data into R

August 26, 2011
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Here's a followup to yesterday's post on using the rdatamarket package to import data into R. Ajay Ohri at the DecisionStats blog offers nine additional methods for bringing data into R, from sources including InfoChimps, the Google Prediction API, the World Bank World Development Indicators, Bloomberg Market Data, and much more. See Ajay's post at the link below for...

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How to access 100M time series in R in under 60 seconds

August 25, 2011
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How to access 100M time series in R in under 60 seconds

DataMarket, a portal that provides access to more than 14,000 data sets from various public and private sector organizations, has more than 100 million time series available for download and analysis. (Check out this presentation for more info about DataMarket.) And now with the new package rdatamarket, it's trivially easy to import those time series into R for charting,...

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New R User Group at University of Utah

August 24, 2011
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There's a new local R user group in Salt Lake City, based at the University of Utah. (There used to be another group in Salt Lake devoted to R/Weka/Processing, but it appears to now be defunct.) This new group has been meeting regularly for some time, and their next meeting, on September 9, will be devoted to short talks...

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The problem with R? Too much new stuff!

August 23, 2011
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In a tongue-in-cheek post at the Information Management blog, Steve Miller shares his "frustration" with R: package developers keep on releasing new functionality for R that makes his own work obsolete. For example, there's now pre-packaged functionality in R for enhanced dotplots, Economist-style graphics, additive regression models and more, which all obviate the need for Steve to implement such...

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More useR! 2011 roundups

August 22, 2011
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If you missed last week's worldwide R user conference at the University of Warwick, several attendees have posted informative roundups of the event. Check out these posts from Patrick Burns, Karl Broman, Colin Gillespie, Pairach Piboonrungroj and Richie Cotton (which features a rare, good Statistics joke). My own roundup of the conference was posted on Friday, in case you...

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Webinar Wednesday Aug 24: Revolution R Enterprise, 100% R and More

August 22, 2011
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A heads-up that I'll be giving a free webinar this Wednesday, August 24. In 30 minutes, I'll give an overview of the open-source R project and the additional features of Revolution R Enterprise: R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution...

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useR! 2011 roundup

August 19, 2011
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useR! 2011 roundup

As I stand here at Heathrow waiting for my flight back to the States, I thought I'd dash off a few quick reflections of the userR! 2011 conference at University Warwick. It was an outstanding event. There's something about a conference of just a few hundred attendees (there were about 450) that creates a sense of camaraderie and common...

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The R-Files: Martyn Plummer

August 17, 2011
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The R-Files: Martyn Plummer

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Martyn Plummer Occupation: Statistician at International Agency for Research on Cancer Nationality: British Years Using R: 16 Known for: Member of R core group; member of R Journal editorial board Martyn Plummer is a longtime contributor to the R community...

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Brian Ripley on The R Development Process

August 16, 2011
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R Core member Professor Brian Ripley from Oxford University gave the first keynote presentation of useR! 2011 today, and gave some insights into what goes on behind the scenes to create two updates to R (plus several patches) every year. He began with some facts about the history of R (noting that if they'd known R would take off...

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The R Ecosystem

August 16, 2011
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I gave my talk to the useR! 2011 conference this morning: The R Ecosystem. The goal of the talk was to show R in context: that the combination of the R project and its leadership, the R userbase, and the companies supporting and using R makes for a thriving ecosystem and is indicative of an extremely successful open source...

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