Blog Archives

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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The R Graph Gallery goes social

September 28, 2011
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The R Graph Gallery goes social

The R Graph Gallery, the website from Romain François that showcases hundreds of examples of data visualization with R, has new social features. Now, when you find a graph or chart you find appealing or useful, you can "Like" it on Facebook or "+1" it on Google+. This should be a great way of highlighting the best charts and...

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Data Science: a literature review

September 28, 2011
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Data Science: a literature review

Just what is Data Science, anyway? Here's one take: Ever since the term "Data Scientist" was coined by DJ Patil and Jeff Hammerbacker in 2009, there's been a vigorous debate on what the team actually means. More than 80% of statisticians consider themselves data scientists, but Data Science is more than just Statistics. (My own take is that Data...

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Five new local R user groups

September 27, 2011
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Looks like there's been a lot of activity in the R user community in the Northern hemisphere now that the summer break is over. I've just added several new groups to the Local R User Group Directory: Tokyo, Japan: The Tokyo.R R study group has already had 17 meetings, but has just been added to the directory. Shanghai/East China:...

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Revolution Analytics partners with Cloudera

September 26, 2011
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Revolution Analytics today announced that it has partnered with Cloudera, the leader in Apache Hadoop-based software and services, to make big-data analytics with Hadoop and R available to Revolution R Enterprise users. As we announced earlier this month, we have created three open-source R packages which make it possible for R users to write map-reduce programs in the R...

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Data Visualization doesn’t need to be biased

September 23, 2011
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Data Visualization doesn’t need to be biased

At the FlowingData blog, data visualization commentator and Visualize This author Nathan Yau lists 5 misconceptions about visualization: Software does everything (Nathan notes "Personally, I use a lot of R and have a lot of fun in Illustrator", but uses a lot of other tools as well.) Visualization is for making data flashy The more information in a single...

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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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Slides and replay from "R and Hadoop" webinar

September 21, 2011
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Slides and replay from "R and Hadoop" webinar

So ... there's clearly a lot of interest in integrating R and Hadoop. Today's webinar was a record-setter for Revolution Analytics, with more than 1000 people signing up to learn how to access Hadoop data from R with the packages from the open-source RHadoop project. If you didn't catch the live webinar, don't fret: the slides and replay are...

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R 2.14 to be released on October 31; R 2.13 patch on September 13

September 19, 2011
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The next major release of R has been announced: R 2.14.0 is scheduled for October 31. Details are still coming in about the new features planned for this release, but R core member Luke Tierney has revealed some of the performance improvements expected, and R core member Brian Ripley has spoken of forthcoming low-level support for multi-threaded computing and...

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How to extract time series from large timestamped logs with R

September 16, 2011
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Revolution Analytics' Joe Rickert has a new post on inside-R.org, demonstrating how you can use R and the RevoScaleR package to extract time series data from time-stamped logs (in this case, the "US Domestic Flights From 1990 to 2009" dataset on Infochimps): Analyzing time series data of all sorts is a fundamental business analytics task to which the R...

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