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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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

(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 » [Read more...]

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 » [Read more...]

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 » [Read more...]

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 » [Read more...]

In R’s partitioning approach, observations are divided into K groups and reshuffled to form the most cohesive clusters possible according to a given criterion. There are two methods—K-means and partitioning around mediods (PAM). In this article, based on chapter 16 of R in Action, Second Edition, author Rob Kabacoff ... [Read more...]

Guest post by Jonathan Rosenblatt Disclaimer: This post is not intended to be a comprehensive review, but more of a “getting started guide”. If I did not mention an important tool or package I apologize, and invite readers to contribute in the comments. …Read more » [Read more...]

Guest post by Marek Hlavac Since its first introduction on this blog, stargazer, a package for turning R statistical output into beautiful LaTeX and ASCII text tables, has made a great deal of progress. Compared to available alternatives (such as …Read more » [Read more...]

This is a guest post by Edwin Thoen Currently I am doing my master thesis on multi-state models. Survival analysis was my favourite course in the masters program, partly because of the great survival package which is maintained by Terry Therneau. The …Read more » [Read more...]

[This article was first published on R-statistics blog » RR-statistics blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page [Read more...]

The question “How many people use my R package?” is a natural question that (I imagine) every R package developer asks himself at some point or another. After many years in the dark, a silver lining has now emerged thanks …Read more » [Read more...]

This is a guest article by Nina Zumel and John Mount, authors of the new book Practical Data Science with R. For readers of this blog, there is a 50% discount off the “Practical Data Science with R” book, simply by using the code pdswrblo when reaching checkout (until …Read more » [Read more...]