Blog Archives

Accidental aRt

July 30, 2014
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Accidental aRt

R is a very powerful language for creating custom data visualizations, but during the development process sometimes you make a mistake and things go horribly wrong. But sometime serendipity intervenes, and the (unintended) result can be quite beautiful. Accidental aRt, if you will. Curated by Kara Woo and Erika Mudrak, this fantastic Tumblr captures beautiful but unintended examples from...

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Reuters uses R to report on surge in coastal flooding in US

July 28, 2014
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Reuters uses R to report on surge in coastal flooding in US

As global warming causes sea levels to rise, the risk of flooding for coastal settlements also rises over time. A recent analysis by Reuters find that incidents of coastal flooding along the Eastern seaboard of the United States have surged in recent years as the sea level steadily rises. Flood levels have been exceeded in six eastern cities by...

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Learning from alternative R engines at DSC 2014

July 25, 2014
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Learning from alternative R engines at DSC 2014

I was honoured to be invited earlier this month to the Directions of Statistical Computing meeting in Brixen, Italy. DSC is one of two meetings run by the R Project and unlike the useR! conference, DSC is a much smaller and intimate meeting (DSC 2014 had about 30 participants). If you haven't come across DSC meeting before (quite possible,...

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magrittr: Simplifying R code with pipes

July 23, 2014
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magrittr: Simplifying R code with pipes

R is a functional language, which means that your code often contains a lot of ( parentheses ). And complex code often means nesting those parentheses together, which make code hard to read and understand. But there's a very handy R package — magrittr, by Stefan Milton Bache — which lets you transform nested function calls into a simple...

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There’s no mistake in the barley data

July 21, 2014
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There’s no mistake in the barley data

Statistics has many canonical data sets. For classification statistics, we have the Fisher's iris data. For Big Data statistics, the canonical data set used in many examples is the Airlines data. And for dotplots, we have the barley data, first popularized by Bill Cleveland in the landmark 1993 text Visualizing Data. Cleveland's innovations in data visualiation were hugely influential...

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July 22: Applications in R Webinar

July 18, 2014
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Just a quick heads-up that I'll be presenting with Neera Talbert (VP Professional Services, Revolution Analytics) in a free webinar on Tuesday, July 22 on Applications in R: Success and Lessons Learned from the Marketplace. I'll describe several R applications from well-known companies (some of which can be seen in the presentation I gave at the China R User...

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Guide to Machine Learning with R from InsideBigData

July 14, 2014
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InsideBigData has published a new Guide to Machine Learning, in collaboration with Revolution Analytics. As the name suggests, the Guide provides an overview of machine learning techniques, with a focus on implementation with the R language and (for big-data applications) Revolution R Enterprise. You can download the Guide here (email registration required), or for a quick overview of the...

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IEEE ranks R #9 amongst all languages

July 11, 2014
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IEEE ranks R #9 amongst all languages

IEEE — the world's largest professional association for the language of technology — recently published its ranking of the popularity of programming languages. The R language comes in at number 9 in the list. The ranking is based on 12 weighted factors, including Google search rankings and trends, social media chatter, aggregator posts (Reddit and Hacker news), social programming...

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R 3.1.1 is released

July 10, 2014
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As announced by Peter Dalgaard for the R Core Team today, R 3.1.1 has been released. Codenamed "Sock it to Me", this is a patch release for R 3.1, and mostly includes minor bug fixes. It also includes some small improvements, including easier access to package help files, improved accuracy when importing data with very large integers, and some...

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In case you missed it: June 2014 Roundup

July 9, 2014
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In case you missed them, here are some articles from June of particular interest to R users: The useR! 2014 conference in Los Angeles opened with 16 tutorials. DataInformed published an article by David Smith on how various companies use R. Joe Rickert reviews the new book "Applied Predictive Modeling" by Max Kuhn and Kjell Johnson, which is rich...

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