In case you missed them, here are some articles from February of particular interest to R users.
Reviews of new CRAN packages RtutoR, lavaan.shiny, dCovTS, glmmsr, GLMMRR, MultivariateRandomForest, genie, kmlShape, deepboost and rEDM.
You can now create and host Jupyter notebooks based on R, for free, in Azure ML Studio.
Calculating learning curves for predictive models with doParallel.
An amusing look at some of R's quirks, by Oliver Keyes.
A recording of a recent talk I gave on real-time predictive analytics, featuring R.
The R Consortium has funded seven community projects and two working groups for R projects.
A look at several methods for computing and assessing the performance of classification models, with R.
An application to help airlines prevent unexpected maintenance delays, based on predictive models created with R.
How to call an R function from an Excel worksheet after it's been published as a service to Azure ML.
You can now use magrittr pipes with the out-of-memory XDF data files used by Microsoft R Server.
Watch the recorded webinar “Data Preparation Techniques with R”, and download the free e-book by Nina Zumel.
An R-based application to automatically classify galaxies in the World Wide Telescope was featured in a keynote at Microsoft's Data Driven event.
Microsoft R Server is now available in the Azure Marketplace.
R 3.2.4 was released by the R Core Group on March 10.
Previews of some talks at the Bay Area R Users Group.
R Tools for Visual Studio, which lets you edit and debug R code within Visual Studio, is now available.
A tutorial on creating election maps with R, from ComputerWorld.
A history of the R project since the release of version 1.0.0.
Calculating confidence intervals for Random Forest predictions based on a corrected jackknife estimator.
Microsoft's Data Science Virtual Machine now includes Microsoft R Server.
Using a pet tracker and R to map the movements of a cat.
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