Blog Archives

R 3.3.0 is released!

May 3, 2016
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R 3.3.0 is released!

R 3.3.0 (codename “Supposedly Educational”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.3.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

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Election tRends: An interactive US election tracker (using Shiny and Plotly)

March 29, 2016
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Guest post by Jonathan Sidi Introduction The US primaries are coming on fast with almost 120 days left until the conventions. After building a shinyapp for the Israeli Elections I decided to update features in the app tried out plotly in the shiny framework. As a casual voter trying to gauge the true temperature of … Continue reading...

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R 3.2.4 is released

March 11, 2016
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R 3.2.4 is released

R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...

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It’s not the p-values’ fault – reflections on the recent ASA statement (+relevant R resources)

March 10, 2016
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It’s not the p-values’ fault – reflections on the recent ASA statement (+relevant R resources)

Joint post by Yoav Benjamini and Tal Galili. The post highlights points raised by Yoav in his official response to the ASA statement (available as on page 4 in the ASA supplemental tab), as well as offers a list of relevant R resources. Summary The ASA statement about the misuses of the p-value singles it out. It is just … Continue reading...

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50 years of Data Science – by David Donoho

January 5, 2016
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David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. You can download the full paper from here.  The paper got quite the attention on Hacker News, Data Science Central, Simply Stats, Xi’an’s blog, srown ion medium, and probably others. Share your thoughts in the … Continue reading...

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Multidimensional Scaling with R (from “Mastering Data Analysis with R”)

January 4, 2016
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Multidimensional Scaling with R (from “Mastering Data Analysis with R”)

Guest post by Gergely Daróczi. If you like this content, you can buy the full 396 paged e-book for 5 USD until January 8, 2016 as part of Packt’s “$5 Skill Up Campaign” at http://bit.ly/mastering-R Feature extraction tends to be one of the most important steps in machine learning and data science projects, so I decided to … Continue reading...

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R 3.2.3 is released (with improvements for Windows users, and general bug fixes)

December 14, 2015
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Rlogo

R 3.2.2 (codename “Wooden Christmas Tree”) was released several days ago. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Major changes in R 3.2.3 As highlighted by David Smith, this release makes a few small improvements and bug fixes to … Continue reading...

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“Why do people contribute to the R?” – concolusions from a new PNAS article

December 14, 2015
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“Why do people contribute to the R?” – concolusions from a new PNAS article

tl;dr: People contribute to R for various reasons, which evolves with time. The main reasons appear to be: “fun coding”, personal commitment to the community, interaction with like-minded and/or important people  – leading to higher self-esteem, future job opportunities, a chance to express oneself and enjoyable social inclusion. From the abstract One of the cornerstones of … Continue reading...

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labels.dendrogram in R 3.2.2 can be ~70 times faster (for trees with 1000 labels)

August 23, 2015
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labels.dendrogram in R 3.2.2 can be ~70 times faster (for trees with 1000 labels)

The recent release of R 3.2.2 came with a small (but highly valuable) improvement to the stats:::labels.dendrogram function. When working with dendrograms with (say) 1000 labels, the new function offers a 70 times speed improvement over the version of the function from R 3.2.1. This speedup is even better than the Rcpp version of labels.dendrogram … Continue reading...

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R 3.2.2 is released

August 16, 2015
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R 3.2.2 is released

R 3.2.2 (codename “Fire Safety”) was released last weekend. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. SOME OF THE CHANGES I personally found two things particularly interesting in this release: setInternet2(TRUE) is now the default for windows (which will … Continue reading...

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