In case you missed them, here are some articles from September of particular interest to R users.
A new version of Revolution R Open is available, featuring multi-threaded computing for R 3.2.2.
One benefit of fitting statistical models to large data sets: learning curves.
Using the AzureML package to publish R functions as web services.
The R Consortium forms a committee to oversee projects, headed by Hadley Wickham.
Functions for interpolation in R.
The EARL London conference (preview here) included many applications of R, from AstraZeneca, Allstate, Douwe Egberts coffee and others.
A new online Data Science and Machine Learning course, featuring R and sponsored by Microsoft.
Reading financial time series data into R with the zoo package.
An update to the checkpoint package brings support for knitr and rmarkdown documents in reproducible projects.
The new Microsoft Data Science User Group Program offers sponsorships for R user groups worldwide.
BlueSky Statistics, a new open-source GUI for R.
Accessing data in Google spreadsheets with the googlesheets package for R.
Antony Unwin on the care of datasets in R packages.
As always, thanks for the comments and please send any suggestions to me at firstname.lastname@example.org. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.