For more than 6 years, 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. In case you missed them, here are some articles related to R from the month of January: Slides on reproducible data analysis with Revolution R Open and the checkpoint package: http://bit.ly/16GIEiM A review of a recent Bay Area R User Group meetup, featuring Hadley Wickham, Ryan Hafen and Nick Elprin: http://bit.ly/16GICrh In an article at opensource.com, I explain why now is a great time to learn R and provide some resources to get started: http://bit.ly/16GIEiL Norm Matloff reviews the state of the art in parallel programming with GPUs in R: http://bit.ly/16GICrg A tongue-in-cheek R script provides excuses for when your P-values aren't *quite* significant enough: http://bit.ly/16GIEiK Microsoft will acquire Revolution Analytics. I explain what this means for Revolution R users and the R community generally (http://bit.ly/16GICHu), and review the media coverage (http://bit.ly/16GICrg). Joe Rickert reviews the state of R integration with Spark: http://bit.ly/16GICHx Tufte's classic weather data visualization recreated in R for Dayton, Chicago and New York City: http://bit.ly/16GIEiP A new R-based course, Statistical Computing for Biomedical Data Analytics: http://bit.ly/16GICHy An introductory tutorial for R, aimed at budding econometricians: http://bit.ly/16GICHz Harvard offers a free 5-week online course on R: http://bit.ly/16GICHA A look at, and some resources for using, R's base graphics capabilities: http://bit.ly/16GIEiQ An update to the "R is Hot" whitepaper with new applications and statistics on R usage: http://bit.ly/16GIEiR Interactive R notebooks with Domino Data Lab: http://bit.ly/16GIEiS The dplyr package has been updated with new data manipulation commands for filters, joins and set operations: http://bit.ly/16GICHC Kudos to the rapidly-growing BioConductor project, recently featured in Nature: http://bit.ly/16GIEiT An online R-based application evaluates your risk of flooding: http://bit.ly/16GICHB Twitter releases an R package for anomaly detection in time series: http://bit.ly/16GICHD A Revolution Analytics consultant describes how he used R to visualize soil attributes using the ggmap package: http://bit.ly/16GIEz8 Yihui Xie created a voice-controlled R graphics application: http://bit.ly/16GICHE Video of talks by Trevor Hastie (on machine learning) and John Chambers (reminiscing on his time at Bell Labs): http://bit.ly/16GICHF The top 10 posts on the Revolutions blog from 2014: http://bit.ly/16GICHG General interest stories (not related to R) in the past month included: a comeback for real and virtual pinball (http://bit.ly/16GIEza), a geometry construction game (http://bit.ly/16GICHH), a typography game (http://bit.ly/16GICHI), and a musical 'tribute' to Shia LeBoeuf (http://bit.ly/16GIEzc). 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 david at revolutionanalytics.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david at revolutionanalytics.com> Chief Community Officer, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Chicago IL, USA) Twitter: @revodavid