R Views: an R Community Blog

Some R News

by Joseph Rickert Here are a few things of some interest in the R world: The Gordon and Betty Moore Foundation has joined the R Consortium! This is a very positive development for the R [...]

By | January 13th, 2017|Categories: Conferences, Ephemera, Events, R Language|0 Comments

December 2016 Package Picks

by Joseph Rickert Last month, 217 new packages were submitted to CRAN. By my count this was the highest monthly value recorded for the past nine years. Below, are brief descriptions of fifty-two of these [...]

By | January 11th, 2017|Categories: Packages, R Language|3 Comments

10,000 CRAN Packages

by Joseph Rickert The R package system continues to expand as the number of packages on CRAN is about to blow through the 10,000 mark sometime soon. This is astonishing! Not only are new packages [...]

By | January 6th, 2017|Categories: Open Source, Packages, R Language|2 Comments

Interview with Joe Cheng

by Joseph Rickert Recently, I had the opportunity to interview RStudio’s Joe Cheng. Joe, the inventor and lead developer for Shiny, was the first person that J.J. Allaire invited to join the RStudio IDE project. [...]

By | January 4th, 2017|Categories: Community, Interviews, Open Source, R Consortium, R Language|7 Comments

Get Ready for RStudio::Conf

by Joseph Rickert The 2017 R Conference season will get off to an early start on January 13th and 14th with RStudio::Conf 2017 in Orlando, Florida. The schedule promises an intense but collegial experience with [...]

By | December 23rd, 2016|Categories: Data Science, Events, R Language, RStudio|Comments Off on Get Ready for RStudio::Conf

R for Enterprise: How to Scale Your Analytics Using R

by Sean Lopp At RStudio, we work with many companies interested in scaling R. They typically want to know: How can R scale for big data or big computation? How can R scale for a [...]

By | December 21st, 2016|Categories: Case Studies, Data Science, R for the Enterprise, R Language|Comments Off on R for Enterprise: How to Scale Your Analytics Using R
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