Since 2008, Revolution Analytics staff and guests have written about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help.
(By the way, Revolution Analytics is now officially part of Microsoft, and the blog will continue. More details at http://bit.ly/1IFZBuo .) In case you missed them, here are some articles related to R from the month of March: Overview of "Targeted learning" packages for R, including SuperLearner and tmle: http://bit.ly/1IFZBun The 7 most common R error messages, by frequency of mentions on StackOverflow: http://bit.ly/1IFZBum Slides and a webinar replay on reproducible data analysis with R and the "checkpoint" package: http://bit.ly/1IFZA9W Review of the book "Hands-On Programming with R" by Garrett Grolemund: http://bit.ly/1IFZA9V R users are invited to participate in the 2015 Rexer Data Mining Survey: http://bit.ly/1IFZA9X Using the "smbinning" package to discretize continuous data for machine learning: http://bit.ly/1IFZBuq Analyzing the nocturnal activities of New Yorkers via their Instagram posts: http://bit.ly/1IFZBur Gradient-boosted trees with the rxBTrees function in Revolution R Enterprise: http://bit.ly/1IFZBut New features in the updated "checkpoint" package for reproducible data analysis: http://bit.ly/1IFZBus Thoughts on using Vim as an interface to R: http://bit.ly/1IFZA9Y An article on the impact of open source software on data science features R: http://bit.ly/1IFZBuu A new white paper describes the architecture of a DeployR server for connecting R to other applications: http://bit.ly/1IFZA9Z A surprising simulation to calculate pi: http://bit.ly/1IFZAa0 How to track the progress of parallel and distributed computations with a progress bar: http://bit.ly/1IFZAa1 A brief summary of new features in R 3.1.3: http://bit.ly/1IFZAa2 An overview of the Hadleyverse, the collection of R packages by Hadley Wickham: http://bit.ly/1IFZBuv Analysis of activity in R user groups shows a recent spike in meetings: http://bit.ly/1IFZBuw Tools to extract and compare colors from images with R, and finding the true colors of "that dress": http://bit.ly/1IFZAa3 Using Domino's new "R Notebook" to explore data with interactive graphics: http://bit.ly/1IFZAqg Computerworld's "R for Beginners" hands-on guide is now available as a downloadable PDF: http://bit.ly/1IFZBux General interest stories (not related to R) in the past month included: a musical domino cascade (http://bit.ly/1IFZAqh), a deep zoom into the Mandelbrot Set (http://bit.ly/1IFZBuy), a culinary celebration of Pi day (http://bit.ly/1IFZAqi), and an unusual undersea perspective (http://bit.ly/1IFZAqj). Meeting times for local R user groups (http://bit.ly/eC5YQe) can be found on the updated R Community Calendar at: http://bit.ly/bb3naW If you're looking for more articles about R, you can find summaries from previous months at http://blog.revolutionanalytics.com/roundups/. You can receive daily blog posts via email using services like blogtrottr.com, or join the Revolution Analytics mailing list at http://revolutionanalytics.com/newsletter to be alerted to new articles on a monthly basis. As always, thanks for the comments and please keep sending suggestions to me at da...@revolutionanalytics.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <da...@revolutionanalytics.com> Chief Community Officer, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Chicago IL, USA) Twitter: @revodavid ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
