In case you missed it: October 2016 roundup
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In case you missed them, here are some articles from October of particular interest to R users.
A brief summary of the R 3.3.2 release.
“Data Science with SQL Server 2016“, a free E-book featuring several in-depth R examples, is now available for download.
The ReporterRs package makes it easy to insert R output, tables and graphics into Word and Powerpoint templates.
R-hub, an online service to build and check R packages on multiple platforms, is now in public beta test.
A style guide for R programs from Graham Williams, creator of rattle.
The Economist used R and the Emotion API to track emotions of the US presidential candidates during the debates.
A new R Graph Gallery by Yan Holtz contains hundreds of data charts and their R code.
R Tools for Visual Studio 0.5 adds support for publishing R code as a SQL Server stored procedure.
After an accident, a data scientist estimates the value of a written-off vehicle with R.
The “Team Data Science Process” and two new open-source projects from Microsoft: a visualization and exploration
framework; and a statistical reporting tool based on caret.
An R function for “tilegrams”, like US maps with states scaled to electoral college votes.
Upcoming data science courses in Zurich, Oslo and Stockholm.
A tutorial on using R on Spark with SparkR, sparklyr, and RevoScaleR.
An animated globe showing the impact of climate change, created with R.
The ggiraph package makes it easy to add interactivity to ggplot2 graphics on the web.
The haven package supports reading SAS, SPSS, Stata and other data file formats into R.
More than half of published papers in Psychology contain at least one statistical reporting error, as revealed by the statcheck package.
Build data pipelines with Azure Data Factory and Microsoft R Server.
R used to analyze the scripts of “The Simpsons”, and create a chart in the cartoon's unique style.
General interest stories (not related to R) in the past month included: rules for rulers, a Hitchcock-Kubrick video mashup, the Earth from the Moon, and the Dear Data project.
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