Blog Archives

Simpler R coding with pipes > the present and future of the magrittr package

August 5, 2014
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Simpler R coding with pipes > the present and future of the magrittr package

This is a guest post by Stefan Milton, the author of the magrittr package which introduces the %>% operator to R programming. Preface (by Tal Galili) I was first introduced to the %>% (a.k.a: pipe) operator in R, thanks to Hadley Wickham’s (fascinating) dplyr tutorial (link to the workshop’s material) at useR!2014. After several discussions during the conference (including one very

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R 3.1.1 is released (and how to quickly update it on Windows OS)

July 10, 2014
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R 3.1.1 is released (and how to quickly update it on Windows OS)

R 3.1.1 (codename “Sock it to Me“) 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 3.1.1 on Windows If you are using Windows you can easily upgrade to the latest version of R using the

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The dendextend package for visualizing and comparing trees of hierarchical clusterings (slides from useR!2014)

July 3, 2014
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The dendextend package for visualizing and comparing trees of hierarchical clusterings (slides from useR!2014)

This week I presented in the useR!2014 my package dendextend (also on github), for easily manipulating, visualizing, and comparing dendrograms. Put simply, it is a package designed to easily create figures like these: Here is my presentation from useR: You are also invited to give a look to the current version of the package vignettes: https://github.com/talgalili/dendextend/blob/master/vignettes/dendextend-tutorial.pdf I

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R 3.1.0 is released!

April 10, 2014
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R 3.1.0 is released!

R 3.1.0 (codename “Spring Dance“) was released today! You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.1.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. The full list of new features and bug fixes is provided below. Upgrading to R 3.1.0 You can

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R 3.0.3 is released

March 10, 2014
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R 3.0.3 is released

R 3.0.3 (codename “Warm Puppy) was released several days ago. The full list of new features and bug fixes is provided below. Upgrading to R 3.0.3 You can download the latest version from here. Or, if you are using Windows, you can upgrade to the latest version using the installr package. Simply run the following

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R-users.com: invite fellow R-users to Jobs, conferences, and R-projects

March 6, 2014
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R-users.com: invite fellow R-users to Jobs, conferences, and R-projects

Dear R users, I am happy to officially announce a new website called R-users.com. The idea of the site is that community members will invite other R users to join them in their R projects, conferences, and work places. This site is a “job board” for R users, hosting various “call to action” to R-users,

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Plotly Beta: Collaborative Plotting with R

December 16, 2013
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Plotly Beta: Collaborative Plotting with R

(Guest post by Matt Sundquist on a lovely new service which is pro-actively supporting an API for R) The Plotly R graphing library  allows you to create and share interactive, publication-quality plots in your browser. Plotly is also built for …Read more »

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R-bloggers: an example of how interest networks propel viral events

December 4, 2013
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R-bloggers: an example of how interest networks propel viral events

A guest post by Jeff Hemsley, who has co-authored with Karine Nahon a new book titled Going Viral. ————————- In Going Viral (Polity Press, 2013) we explore the topic of virality, the process of sharing messages that results in a fast, broad …Read more »

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R 3.0.2 and RStudio 0.9.8 are released!

September 26, 2013
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R 3.0.2 (codename “Frisbee Sailing”) was released yesterday. The full list of new features and bug fixes is provided below. Also, RStudio v0.98 (in a “secret” preview) was announced two days ago with MANY new features, including: Amazing new debugging …Read more »

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A speed test comparison of plyr, data.table, and dplyr

September 23, 2013
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A speed test comparison of plyr, data.table, and dplyr

Guest post by Jake Russ For a recent project I needed to make a simple sum calculation on a rather large data frame (0.8 GB, 4+ million rows, and ~80,000 groups). As an avid user of Hadley Wickham’s packages, my first …Read more »

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