[Apologies if you already saw this on r-devel, email error on my behalf -- DMS]
Revolution Analytics staff write 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: Princeton's Germán Rodríguez has published a useful "Introduction to R" guide, with a focus on linear and logistic regression: http://bit.ly/1c1bero The rxDForest function in the RevoScaleR package fits random forests of histogram-binning trees: http://bit.ly/1b08qAq A tutorial on using the xts package to analyze http://bit.ly/1c1bc30 and plot time series data http://bit.ly/1c1bc31 In a video interview with Trevor Hastie, John Chambers recounts the history of S and R: http://bit.ly/1c1bern A review of "Doing Data Science", a new book by Rachel Schutt and Cathy O'Neil http://bit.ly/1c1berp Hadley Wickham introduces the dplyr package, with its "grammar of data manipulation" http://bit.ly/1c1bcje The new choroplethr package makes it easier to create data maps in R: http://bit.ly/1c1bcjf A developer preview of SparkR, an interface between R and Apache Spark, is now available: http://bit.ly/1c1berq Joseph Rickert reviews the capabilities of R for topological data analysis: http://bit.ly/1c1berr In a recent survey of data scientists, R is the most-used software tool other than SQL: http://bit.ly/1c1bers A new JSS article on computing with massive data, and a change in policy for acceptable JSS software licenses: http://bit.ly/1b08srV Large scale optimization with the optim and rxDataStep functions: http://bit.ly/1c1bert Large enterprise software vendors with connections to R: http://bit.ly/1c1bcji A preview of a forthcoming update to Max Kuhn's caret package, and an interactive chart showing similarities amongst the 143 statistical and machine learning models it supports: http://bit.ly/1c1beru Simulation-based forecasts by combining expert opinion: http://bit.ly/1c1bcjj Tips on getting R help: http://bit.ly/1c1bcjk The top 10 posts on the Revolutions blog from 2013: http://bit.ly/1b08qAt Some non-R stories in the past month included: levitation with sound waves (http://bit.ly/1c1bcjl), the NYT's 4th Down Bot (http://bit.ly/1c1berv), bird flight patterns (http://bit.ly/1c1bcjm), camera magic on Vine (http://bit.ly/1c1berw), visualizing whisky flavor profiles (http://bit.ly/1c1bcjn), the Cornsweet illusion (http://bit.ly/1b08srW), and a one-sentence explanation of the Fourier Transform (http://bit.ly/1c1berz). 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 . Don't forget you can also follow the blog using an RSS reader, or by following me on Twitter (I'm @revodavid). Cheers, # David -- David M Smith <da...@revolutionanalytics.com> VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Seattle WA, USA) Twitter: @revodavid ______________________________________________ R-help@r-project.org mailing list 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.
