Blog Archives

Slides and replay for "Introduction to R for SAS and SPSS users"

October 12, 2011
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If you missed last week's webinar from Bob Muenchen, "Introduction to R for SAS and SPSS users", you missed a great overview of the R Project and how it compares to commercial statistical software. Bob's slides are below, and you can download the slides and replay from the Revolution Analytics website. Bob pointed out a couple of really useful...

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Top 50 Statistics blogs

October 10, 2011
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TheBestColleges.org has just published their list of the "Top 50 Statistics Blogs of 2011", and I'm pleased say that not only did our own Revolutions blog make the list, but it's in fine company with some truly excellent blogs. Several of my personal favourites made the list, including: Guardian columnist Ben Goldacre's Bad Science blog The Dataists, a blog...

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Because it’s Friday: Reviews of Random Digits

October 7, 2011
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If you dig around enough on Amazon.com, you can find some pretty odd products (like the Badonkadonk tank now sadly unavailable). Attached to these products you can often find a new form of comedy: the funny Amazon review. The products that attract such attention can be hard to fathom: this gallon of milk has more than 1,000 reviews. (Sample:...

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In case you missed it: September Roundup

October 7, 2011
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In case you missed them, here are some articles from September of particular interest to R users. The deadline to enter the "R Applications" contest with $20,000 in prizes is October 31. The RHadoop Project, a new collection of open-source R packages from Revolution Analytics, makes it possible to write map-reduce jobs in R to analyze huge data sets...

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Webinar Oct 13: Successful uses of R in Banking

October 6, 2011
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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...

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Slides and replay for "Backtesting FINRA’s Limit Up/Down Rules" available

October 5, 2011
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If you missed last week's webinar on using Revolution R and IBM Netezza to analyze the effectiveness of new rules intended to prevent another financial "Flash Crash", you can watch a replay by filling in this form. Once the replay begins, you can download the slides by clicking the "Download" button that appears below the media player. Revolution Analytics...

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Oracle’s Big Data Appliance to include R

October 3, 2011
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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...

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R 2.13.2 released

September 30, 2011
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The R core team announced today that R 2.13.2 is now available: The byte pixies have rolled up R-2.13.2.tar.gz at 9:00 this morning. This is intended to be the final release of the 2.13 series, for the benefit of those apprehensive of putting 2.14.x into production use. This update fixes a number of minor bugs (for example, pch="." will...

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Obama 2012 campaigning with analytics

September 29, 2011
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The campaign to re-elect US president Barack Obama is hiring -- and the RDataMining blog noticed that several of the open positions seek R skills. If you want to be a Communications Analyst, Digital Strategy Analyst, or Statistical Modeling Analyst and you know R, there may be a job opening for you. Just goes to show there's no corner...

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A brief introduction to R for SAS and SPSS users

September 29, 2011
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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...

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