547 search results for "Register"

Are new SEC rules enough to prevent another Flash Crash?

September 22, 2011
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Are new SEC rules enough to prevent another Flash Crash?

At 2:42PM on March 10 2010, without warning, the Dow Jones Industrial Index plunged more than 1000 points in just 5 minutes. It remains the biggest one-day decline in this stock market index in history. On an intra-day basis, anyway: by the end of the day, the market had regained 600 points of the drop. At the time, the...

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Simulation studies in R – Using all cores and other tips

September 16, 2011
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After working more seriously with simulations I noticed some updates were necessary to my previous setup. Most notably are the following three: It is very handy to explicitly call the different scenarios instead of using nested loops Storing intermediate results in single files obliviates the need to rerun an almost finished but crashed analysis and

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How to program MapReduce jobs in Hadoop with R

September 13, 2011
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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...

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Revolution Newsletter: September 2011

September 9, 2011
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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...

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Webinar: Leveraging R in Hadoop Environments

September 6, 2011
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Webinar: Leveraging R in Hadoop Environments

On Wednesday September 21, Revolution Analytics' CTO David Champagne will give a live webinar introducing three new open-source packages for R and Hadoop, which make it possible to work with Hadoop data in R, and bring in-database R analytics to Hadoop. Here are the details: Date: Wednesday, September 21st Time: 10:00AM - 10:30AM Pacific Time Presenter: David Champagne, Chief...

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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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GDAT 2011 in Review

August 13, 2011
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GDAT 2011 in Review

As usual, the Guerrilla Data Analysis Techniques (GDAT) class was a total blast. Motivated students always guarantee that. It would really help our scheduling, however, if people didn't wait until the last nanosecond to register for the class. But give...

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Revolution Newsletter: August 2011

August 12, 2011
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full August edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Free 30-minute introduction to Revolution R Enterprise. On Wednesday August 24, author and blogger David...

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High-Performance in Cloud Computing

August 11, 2011
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High-Performance in Cloud Computing

Very often scientists are worried about performance and security in cloud computing. Especially, when talking about High-Performance Computing (HPC) in the cloud it is a very important aspect to proof efficient calculation speed in the cloud. Cloud computing describes a new delivery model for IT services based on Internet protocols, and it typically involves provisioning

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Multiple cores in R, revisited

August 10, 2011
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The bigmemory package in combination with doMC provides at least a partial solution for sharing a large data set across multiple cores in R. With this solution you can work on the same matrix using several threads. It is also a very scalable solution. ...

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