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 March: Reviews of new CRAN packages RtutoR, lavaan.shiny, dCovTS, glmmsr, GLMMRR, MultivariateRandomForest, genie, kmlShape, deepboost and rEDM: http://blog.revolutionanalytics.com/2016/03/whats-new-on-cran.html You can now create and host Jupyter notebooks based on R, for free, in Azure ML Studio: http://blog.revolutionanalytics.com/2016/03/jupyter-notebooks.html Calculating learning curves for predictive models with doParallel: http://blog.revolutionanalytics.com/2016/03/learning-from-learning-curves.html An amusing look at some of R's quirks: http://blog.revolutionanalytics.com/2016/03/about-those-weird-things-in-r.html A recording of a recent talk I gave on real-time predictive analytics, featuring R: http://blog.revolutionanalytics.com/2016/03/introductions-to-r-and-predictive-analytics.html A preview of the New York R Conference: http://blog.revolutionanalytics.com/2016/03/get-ready-for-nyr.html The R Consortium has funded seven community projects and two working groups for R projects: http://blog.revolutionanalytics.com/2016/03/r-consortium-announces-new-grants-for-r-projects-and-working-groups.html A look at several methods for computing http://blog.revolutionanalytics.com/2016/03/com_class_eval_metrics_r.html and assessing the performance of classification models, with R: http://blog.revolutionanalytics.com/2016/03/classification-models.html An application to help airlines prevent unexpected maintenance delays, based on predictive models created with R: http://blog.revolutionanalytics.com/2016/03/predictive-maintenance.html Using R to predict the winning basketball team in the March Madness competition: http://blog.revolutionanalytics.com/2016/03/march-madness.html How to call an R function published to Azure ML from an Excel worksheet: http://blog.revolutionanalytics.com/2016/03/scoring-r-models-with-excel.html You can now use magrittr pipes with the out-of-memory XDF data files used by Microsoft R Server: http://blog.revolutionanalytics.com/2016/03/dplyrxdf-update.html Watch the recorded webinar "Data Preparation Techniques with R", and download the free e-book by Nina Zumel: http://blog.revolutionanalytics.com/2016/03/data-preparation-webinar.html An R-based application to automatically classify galaxies in the World Wide Telescope was featured in a keynote at Microsoft's Data Driven event: http://blog.revolutionanalytics.com/2016/03/sql-server-2016-launch.html Microsoft R Server is now available in the Azure Marketplace: http://blog.revolutionanalytics.com/2016/03/r-server-azure-mkt.html R 3.2.4 was released by the R Core Group on March 10: http://blog.revolutionanalytics.com/2016/03/r-324-released.html Previews of some talks at the Bay Area R Users Group: http://blog.revolutionanalytics.com/2016/03/barug-at-strata-and-paw.html R Tools for Visual Studio, which lets you edit and debug R code within Visual Studio, is now available: http://blog.revolutionanalytics.com/2016/03/rtvs-preview.html A tutorial on creating election maps with R, from ComputerWorld: http://blog.revolutionanalytics.com/2016/03/interactive-election-maps.html A history of the R project since the release of version 1.0.0: http://blog.revolutionanalytics.com/2016/03/16-years-of-r-history.html Calculating confidence intervals for Random Forest predictions based on a corrected jackknife estimator: http://blog.revolutionanalytics.com/2016/03/confidence-intervals-for-random-forest.html Microsoft's Data Science Virtual Machine now includes Microsoft R Server: http://blog.revolutionanalytics.com/2016/03/ds-vm-update.html Using a pet tracker and R to map the movements of a cat: http://blog.revolutionanalytics.com/2016/03/analysing-the-movements-of-a-cat.html General interest stories (not related to R) in the past month included: typography in movies (http://blog.revolutionanalytics.com/2016/03/fonts-from-the-future.html), rubiks cube juggling (http://blog.revolutionanalytics.com/2016/03/because-its-friday-juggle-solve.html), pianograms (http://blog.revolutionanalytics.com/2016/03/because-its-friday-pianograms.html) and a robot rebellion (http://blog.revolutionanalytics.com/2016/03/our-robot-overlords.html). Meeting times for local R user groups (http://blog.revolutionanalytics.com/local-r-groups.html) can be found on the updated R Community Calendar at: http://blog.revolutionanalytics.com/calendar.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.
