Since 2008, Microsoft (formerly 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.
And in case you missed them, here are some articles related to R from the month of August: An amusing short video extols the benefits of reproducible research with R: http://blog.revolutionanalytics.com/2016/08/a-reproducibility-horror-story.html A guide to implementing a churn model for mobile phone customers with Microsoft R Services: http://blog.revolutionanalytics.com/2016/08/telco-customer-churn-with-r-in-sql-server-2016.html Computerworld's Sharon Machlis presents 5 data visualizations each using 5 lines of R code: http://blog.revolutionanalytics.com/2016/08/five-great-charts-in-5-lines-of-r-code-each.html A five-part video series introducing Microsoft R Services: http://blog.revolutionanalytics.com/2016/08/introduction-to-microsoft-r-server.html David Robinson analyzes the sentiment of Donald Trump's (and staffers') tweets with R http://blog.revolutionanalytics.com/2016/08/sentiment-analysis-of-trumps-tweets-with-r.html Microsoft R Open 3.3.1 is now available for Windows, Mac and Linux: http://blog.revolutionanalytics.com/2016/08/microsoft-r-open-331-now-available-for-windows-mac-and-linux.html When to use (and when not to use) dual Y axes on time series charts: http://blog.revolutionanalytics.com/2016/08/dual-axis-time-series.html You can now use R from PowerBI to import, transform and visualize data: http://blog.revolutionanalytics.com/2016/08/powerbi-and-r.html An in-depth look at deep learning frameworks: Part 1 http://blog.revolutionanalytics.com/2016/08/deep-learning-part-1.html and Part 2 http://blog.revolutionanalytics.com/2016/08/deep-learning-part-2.html The Data Science Summit (Sep 26-27 in Atlanta) features several R-related talks and a keynote presentation by Edward Tufte http://blog.revolutionanalytics.com/2016/08/tufte-keynote.html The jailbreakr package locates and extracts sub-tables from messy spreadsheets: http://blog.revolutionanalytics.com/2016/08/jailbreakr.html Using R to extract information from a PDF table to create a map of dispensary locations: http://blog.revolutionanalytics.com/2016/08/dispensaries.html Student debt is rising quickly in the US, as shown using the animation package: http://blog.revolutionanalytics.com/2016/08/student-debt.html A guide to tuning Apache Spark to optimize computations with Microsoft R Server: http://blog.revolutionanalytics.com/2016/08/tuning-apache-spark.html A review of several R packages providing access to online data sources: http://blog.revolutionanalytics.com/2016/08/r-packages-data-access.html A cheat-sheet for the dplyrXdf package: http://blog.revolutionanalytics.com/2016/08/new-cheat-sheet-for-the-dplyrxdf-package.html A beautiful example of creating publication-ready interactive graphics with R: http://blog.revolutionanalytics.com/2016/08/interactive-illustrator-quality-graphics-with-r.html A guide to simulating from the bivariate Normal distribution with R: http://blog.revolutionanalytics.com/2016/08/simulating-form-the-bivariate-normal-distribution-in-r-1.html Where to find resources previously available on the now-decommissioned inside-r.org: http://blog.revolutionanalytics.com/2016/08/farewell-inside-rorg.html An introduction to ROC curves in R: http://blog.revolutionanalytics.com/2016/08/roc-curves-in-two-lines-of-code.html Azure ML Studio now supports Microsoft R Open and Python 2 and 3: http://blog.revolutionanalytics.com/2016/08/ml-studio-mro-python3.html General interest stories (not related to R) in the past month included: the font of the Stranger Things titles (http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-font-of-stranger-things.html), gravity waves (http://blog.revolutionanalytics.com/2016/08/because-its-friday-lisa.html), a first-squirrel view (http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-squirrels-pov.html), and history set to 70's pop (http://blog.revolutionanalytics.com/2016/08/because-its-friday-the-knack-to-learning-history.html). 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. As always, thanks for the comments and please keep sending suggestions to me at david...@microsoft.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david...@microsoft.com> R Community Lead, Microsoft Tel: +1 (312) 9205766 (Chicago IL, USA) Twitter: @revodavid | Blog: http://blog.revolutionanalytics.com ______________________________________________ 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.
