Introducing Revolution R Open and Revolution R Plus

October 15, 2014

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

For the past 7 years, Revolution Analytics has been the leading provider of R-based software and services to companies around the globe. Today, we're excited to announce a new, enhanced R distribution for everyone: Revolution R Open.

Revolution R Open is a downstream distribution of R from the R Foundation for Statistical Computing. It's built on the R 3.1.1 language engine, so it's 100% compatible with any scripts, packages or applications that work with R 3.1.1. It also comes with enhancements to improve your R experience, focused on performance and reproducibility: 

  • Revolution R Open is linked with the Intel Math Kernel Libraries (MKL). These replace the standard R BLAS/LAPACK libraries to improve the performance of R, especially on multi-core hardware. You don't need to modify your R code to take advantage of the performance improvements.
  • Revolution R Open comes with the Reproducible R Toolkit. The default CRAN repository is a static snapshot of CRAN (taken on October 1). You can always access newer R packages with the checkpoint package, which comes pre-installed. These changes make it easier to share R code with other R users, confident that they will get the same results as you did when you wrote the code.

Today we are also introducing MRAN, a new website where you can find information about R, Revolution R Open, and R Packages. MRAN includes tools to explore R Packages and R Task Views, making it easy to find packages to extend R's capabilities. MRAN is updated daily.

Revolution R Open is available for download now. Visit for binaries for Windows, Mac, Ubuntu, CentOS/Red Hat Linux and (of course) the GPLv2 source distribution.

With the new Revolution R Plus program, Revolution Analytics is offering technical support and open-source assurance for Revolution R Open and several other open source projects from Revolution Analytics (including DeployR Open, ParallelR and RHadoop). If you are interested in subscribing, you can find more information at . And don't forget that big-data R capabilities are still available in Revolution R Enterprise.

We hope you enjoy using Revolution R Open, and that your workplace will be confident adopting R with the backing of technical support and open source assurance of Revolution R Plus. Let us know what you think in the comments! 

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)