Blog Archives

Gartner: Revolution Analytics a "Cool Vendor" for BI

April 29, 2011
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Leading analyst firm Gartner has just published its "Cool Vendors in Analytics and Business Intelligence" report for 2011 (download it here if you have a Gartner subscription). In the report, Revolution Analytics is named a Gartner Cool Vendor, and recognizes the company as "innovative, impactful and intriguing": Driven in part by the rise of big data, business intelligence (BI)...

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Can you do better than cap-weighted equity benchmarks?

April 28, 2011
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We're on our way to Chicago for the annual conference for R users in Finance, R/Finance 2011. Revolution Analytics is proud to once again sponsor this conference, and during the sponsor lunch session at noon on Saturday, we're honoured to have Guy Yollin show how the big-data capabilities of Revolution R Enterprise can be used for quantitative finance. Here...

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How to make 3-D graphics from SAS data

April 27, 2011
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How to make 3-D graphics from SAS data

The blog SAS Analysis shows how to create 3-D images from SAS data ... using R: Some SAS programmers like to use SAS/IML to call R’s functions . However, it seems that SAS/IML fails to work with the latest versions of R since 2.12 . Others tend to play tricks to call R into SAS’s data step...

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Revolution R Enterprise 4.3 now available

April 26, 2011
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We've just released the latest update to Revolution R Enterprise, version 4.3. This release includes version 2.12.2 of the open-source R engine linked with high-performance libraries, and packages it with additional functionality from Revolution Analytics for big data statistics, web services deployment, a Windows UI for R programming and debugging, and much more. Detailed information about the new release...

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Milktrader: Quantitative finance in R

April 25, 2011
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The blog Milktrader has been on a roll recently with a series of posts with practical examples of quantitative in finance, from backtesting to automated trading, and option pricing to data acquisition. The latest post focuses on calculating returns, with an example of downloading data for a silver ETF and calculating daily returns with the dailyReturn function in the...

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How to load your iPhone location data into R

April 22, 2011
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How to load your iPhone location data into R

Earlier this week, data scientists Pete Warden and Alasdair Allen reported that iPhones and cell-enabled iPads keep an internal log of the devices location, which is accessible from the backup that iTunes creates when you sync the device. (Update Apr 27: Apple responds that the locations are those of nearby cell towers and wi-fi hotspots, not the device itself.)...

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New R User Group in Gießen, Germany

April 21, 2011
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It's great to see new local R user groups popping up around the world, and the latest one is based in Gießen, Germany (about 70km north of Frankfurt). The Giessen R Users Group has its first meeting on May 10 with a discussion on applications of R to social media (with an example related to Twitter). meetup.com: Giessen R...

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ComputerWorld on R for data analysis and visualization

April 20, 2011
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ComputerWorld's feature today, 22 free tools for data visualization and analysis, suggests open-source R as the third entry on the list: What it does: R is a general statistical analysis platform (the authors call it an "environment") that runs on the command line. Need to find means, medians, standard deviations, correlations? R can handle that and much more, including...

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250 years of Bayes’ Theorem

April 19, 2011
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The Reverend Thomas Bayes died 250 years ago this month. His grave, located near epidemiological centre of excellence St Mary's College, remains a point of pilgrimage for statisticians (of both Bayesian and Frequentist stripes) visiting London to this day. Because since then, Bayes Theorem has been the underpinning of predictive analytics applications from spam detection to medical alerts. There...

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How Kaggle competitors use R

April 19, 2011
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How Kaggle competitors use R

The competitive data prediction competitions hosted by Kaggle require data scientists to bring their A game: the competition is intense, and competitors know in real time from the daily leaderboards how their predictions compare in accuracy to those of their rivals. So it's no surprise that open-source R, the most powerful statistics language, is a common tool of choice...

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