Posts Tagged ‘ Big Data ’

Applications of R at Google

July 13, 2012
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At a talk I saw at the useR!2012 conference last month, Googler Karl Millar estimated that there are at least 200 active R users at Google, plus another 300+ occasional users participating in Google's internal R support list. But what are all these Google employees doing with R? A post from the Google Research team published on Google+ yesterday...

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The role of Statistics in the Higgs Boson discovery

July 3, 2012
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The role of Statistics in the Higgs Boson discovery

News is starting to leak that the Large Hadron Collider may have accomplished its primary mission of confirming the existence of the hypothesised and heretofore elusive subatomic particle, the Higgs Boson. And sure, billions of Euros worth of state-of-the-art high-energy machinery and an army of experimental and theoretical physicists probably had something to do with the discovery. But did...

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A big list of the things R can do

July 2, 2012
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R is an incredibly comprehensive statistics package. Even if you just look at the standard R distribution (the base and recommended packages), R can do pretty much everything you need for data manipulation, visualization, and statistical analysis. And for everything else, there's more than 5000 packages on CRAN and other repositories, and the big-data capabilities of Revolution R Enterprise....

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Big Data Generalized Linear Models with Revolution R Enterprise

June 28, 2012
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Big Data Generalized Linear Models with Revolution R Enterprise

R''s glm function for generalized linear modeling is very powerful and flexible: it supports all of the standard model types (binomial/logistic, Gamma, Poisson, etc.) and in fact you can fit any distribution in the exponential family (with the family argument). But if you want to use it on a data set with millions or rows, and especially with more...

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CIO.com: R is a Big Data open-source technology to watch

June 19, 2012
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CIO.com recently published its list of 9 open-source technologies to watch. Hadoop is first on the list, and second up is the R Project: R is an open source programming language and software environment designed for statistical computing and visualization. R was designed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand beginning in 1993...

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More on birthday probabilities

June 15, 2012
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More on birthday probabilities

Last week, Joe Rickert used R and four years of US Census data to create an image plot of the relative probabilities of being born on a given day of the year: Chris Mulligan also tackled this problem with R, but this time using 20 years of Census data from 1969 to 1988. Chris extracted the birthday frequencies using...

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Data distillation with Hadoop and R

June 11, 2012
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Data distillation with Hadoop and R

We're definitely in the age of Big Data: today, there are many more sources of data readily available to us to analyze than there were even a couple of years ago. But what about extracting useful information from novel data streams that are often noisy and minutely transactional ... aye, there's the rub. One of the great things about...

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Data Mining with R

June 8, 2012
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Earlier this week, Revolution Analytics' Joe Rickert gave a webinar Introduction to R for Data Mining. You can watch the replay below: If you're already familiar with R and the basics of data mining, you might want to skip ahead to the 13-minute mark where Joe's live demo begins. There you'll see practical examples of using R for decision...

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Simulating the Birthday Problem with data derived probabilities

June 6, 2012
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Simulating the Birthday Problem with data derived probabilities

You've probably heard of the Birthday Paradox: it only takes a small gathering of people before it's quite likely that two of them share the same birthday. You can solve the problem analytically or with simulation, but usually in either case simplifying assumptions are made (no-one born on February 29, for example). Joe Rickert uses Revolution R Enterprise 6...

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Announcing Revolution R Enterprise 6.0

June 5, 2012
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Revolution Analytics is proud to announce the latest update to our enhanced, production-grade distribution of R, Revolution R Enterprise. This update expands the range of supported computation platforms, adds new Big Data predictive models, and updates to the latest stable release of open source R (2.14.2), which improves performance of the R interpreter by about 30%. This release expands...

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