Blog Archives

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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Reflections on useR! 2014

July 7, 2014
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Reflections on useR! 2014

UseR! 2014, the R user conference held last week in LA, was the most successful yet. Around 700 R users from around the world converged on the UCLA campus to share their experiences with the R language and to socialize with other data scientists, statisticians and others using R. The week began with a series of 3-hour tutorials on...

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Revolution Analytics: the R company since 2007

July 2, 2014
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Revolution Analytics, founded in 2007, was the first company devoted to the R project. Since then, we've been behind several R initiatives, including the RHadoop project and the network of R user groups around the world. I gave this short presentation today at the useR! 2014 conference in Los Angeles with some of the highlights from Revolution Analytics from...

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useR! 2014 is underway with 16 tutorials

June 30, 2014
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The annual worldwide user conference useR! 2014 is underway at UCLA, beginning with a full day of tutorials. This year's useR! conference is a record-breaker with more than 700 attendees, so most of the tutorial sessions have been jam-packed. The tutorials cover a diverse array of R applications: data management, visualization, statistics and biostatistics, programming, and interactive applications. Follow...

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How data-driven companies use R to compete

June 27, 2014
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The editors at DataInformed invited me to write an article about how R is used in business, and I was pleased to oblige. The article, How Companies use R to Compete in a Data-Driven World, is now live and describes how Facebook, The New York Times, X+1, ANZ Bank and many others successfully use R to analyze their data....

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Interactive, web-ready ggplot2-style graphics with ggvis

June 25, 2014
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Interactive, web-ready ggplot2-style graphics with ggvis

Hadley Wickham's been working on the next-generation update to ggplot2 for a while, and now it's available on CRAN. The ggvis package is completely new, and combines a chaining syntax reminiscent of dplyr with the grammar of graphics concepts of ggplot2. The resulting charts are web-ready in scalable SVG format, and can easily be made interactive thanks to RStudio's...

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