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
