I’d like to explore more the capabilities of my statistical packages to get data online and allocate it in memory instead of download each dataset by hand. After all, I found this task is pretty easy, but got me out of bed for one night trying to find the most efficient way to loop across
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Webinar Oct 13: Successful uses of R in Banking
On Thursday October 13, Hong Ooi from ANZ (Australia and New Zealand Banking Group) will give a webinar presentation on Successful Uses of R (along with SAS and Excel) in Banking. We've covered Hong's use of R for credit risk analysis here on the blog before, and in next week's webinar he'll take an in-depth look at applying R...
Oracle’s Big Data Appliance to include R
At the Oracle OpenWorld conference in San Francisco today, Oracle announced the new Oracle Big Data Appliance, "a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R." Oracle's foray into the Hadoop and NoSQL spaces...
A brief introduction to R for SAS and SPSS users
If you've used SAS or SPSS and want a jump-start into the basics of the popular R language, next week's webinar, Introduction to R for SAS and SPSS Users will be of interest to you. While R, SAS and SPSS are all three software systems for data analysis and graphics, the underlying concepts in R are quite different to...
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...
Simulation studies in R – Using all cores and other tips
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
How to program MapReduce jobs in Hadoop with R
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...
Revolution Newsletter: September 2011
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...
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...
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,...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
