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In case you missed it: January 2014 roundup

In case you missed them, here are some articles from January of particular interest to R users: Princeton’s Germán Rodríguez has published a useful “Introduction to R” guide, with a focus on linear and logistic regression. The rxDForest function in the RevoScaleR package fits random forests of histogram-binning trees.  A tutorial on using the xts package to analyze and plot time series data. In a video interview with Trevor Hastie, John Chambers recounts the history of S and R. A review of “Doing Data Science”, a new book by Rachel Schutt and Cathy O'Neil. Hadley Wickham introduces the dplyr package, with its “grammar of data manipulation". The new choroplethr package makes it easier to create data maps in R.  A developer preview of SparkR, an interface between R and Apache Spark, is now available.  Joseph Rickert reviews the capabilities of R for topological data analysis. In a recent survey of data scientists, R is the most-used software tool other than SQL. A new JSS article on computing with massive data, and a change in policy for acceptable JSS software licenses.  Large scale optimization with the optim and rxDataStep functions. Large enterprise software vendors with connections to R.  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. Simulation-based forecasts by combining expert opinion. Tips on getting R help. The top 10 posts on the Revolutions blog from 2013. Some non-R stories in the past month included: levitation with sound waves, the NYT’s 4th Down Bot, bird flight patterns, camera magic on Vine, visualizing whisky flavor profiles, the Cornsweet illusion, and a one-sentence explanation of the Fourier Transform. As always, thanks for the comments and please send any suggestions to me at david@revolutionanalytics.com. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.

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David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid