[R] Revolutions blog: March 2016 Roundup

[David Smith]

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 davidsmi at microsoft.com or via Twitter
(I'm @revodavid).

Cheers,
# David

-- 
David M Smith <davidsmi at microsoft.com>
R Community Lead, Microsoft  
Tel: +1 (312) 9205766 (Chicago IL, USA)
Twitter: @revodavid | Blog:  http://blog.revolutionanalytics.com