[R] Revolutions blog: August 2015 roundup

David Smith davidsmi at microsoft.com
Thu Sep 3 19:41:07 CEST 2015

Since 2008, Revolution Analytics (and now Microsoft) staff and guests have written about R every weekday at the Revolutions blog:
and every month I post a summary of articles from the previous month of particular interest to readers of r-help. 

In case you missed them, here are some articles related to R from the month of August:

Creating interactive time series charts of financial data in R: http://blog.revolutionanalytics.com/2015/08/plotting-time-series-in-r.html

Many R books have been translated into Chinese: http://blog.revolutionanalytics.com/2015/08/new-r-titles-available-in-chinese.html

A tutorial on visualizing current-events geographic data with choropleths: http://blog.revolutionanalytics.com/2015/08/following-uo-on-the-news-with-choroplether-and-r.html

Revolution R Enterprise 7.4.1 is now available on Windows and Linux servers http://blog.revolutionanalytics.com/2015/08/rre-741.html and in the Azure Marketplace

Zillow uses R to estimate the value of houses and rental properties: http://blog.revolutionanalytics.com/2015/08/how-r-is-used-at-zillow-to-estimate-housing-values.html

There’s a new (and free) online course on edX for R beginners, sponsored by Microsoft and presented by DataCamp: http://blog.revolutionanalytics.com/2015/08/free-edx-course-for-r-beginners.html

Mini-reviews of 5 new R packages: AzureML, distcomp, rotationForest, rpca, and SwarmSVM: http://blog.revolutionanalytics.com/2015/08/5-new-r-packages-for-data-scientists.html

The R Consortium’s best practices for secure use of R: http://blog.revolutionanalytics.com/2015/08/good-advice-for-security-with-r.html

How to extract data from a SQL Server database in Azure to an R client running Linux: http://blog.revolutionanalytics.com/2015/08/using-azure-as-an-r-datasource-part-4-pulling-data-from-sql-server-to-linux.html 

DeployR Open 7.4.1, the open-source server-based framework for simple and secure R integration for application developers, is now available: http://blog.revolutionanalytics.com/2015/08/deployr-741-released.html

R 3.2.2 is now available: http://blog.revolutionanalytics.com/2015/08/r-322-released.html

A review of the JSM 2015 conference and the prevalence of R there: http://blog.revolutionanalytics.com/2015/08/r-news-from-jsm-2015.html

R is available with Cortana Analytics, which you can learn about in upcoming workshops and webinars: http://blog.revolutionanalytics.com/2015/08/get-to-know-cortana-analytics-workshop-and-webinars.html

A comparison of the network structure of the CRAN and Bioconductor repositories: http://blog.revolutionanalytics.com/2015/08/differences-in-the-network-structure-of-cran-and-bioconductor.html

Using R to find signal in noisy data: http://blog.revolutionanalytics.com/2015/08/how-do-you-know-if-yourdata-has-signal.html

I discussed the R Consortium in the inaugural episode of the R Talk podcast: http://blog.revolutionanalytics.com/2015/08/r-talk.html

An exponential random graph model of connections between CRAN packages: http://blog.revolutionanalytics.com/2015/08/a-simple-statnet-model-of-cran.html

Using the igraph package to simplify a network graph: http://blog.revolutionanalytics.com/2015/08/contracting-and-simplifying-a-network-graph.html

An introductory guide to the Bioconductor project: http://blog.revolutionanalytics.com/2015/08/a-short-introduction-to-bioconductor.html 

An animation shows every commit to the R source code over 18 years: http://blog.revolutionanalytics.com/2015/08/watch-18-years-of-r-development-in-15-minutes.html

General interest stories (not related to R) in the past month included: Macklemore on mopeds (http://blog.revolutionanalytics.com/2015/08/because-its-friday-downtown-spokane.html), reconstructed timelapses (http://blog.revolutionanalytics.com/2015/08/timelapses.html), a moving visualization of WW2 fatalities (http://blog.revolutionanalytics.com/2015/08/a-moving-vision-of-ww2-fatalities.html), and the Magnus Effect (http://blog.revolutionanalytics.com/2015/08/magnus-effect.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, or join the Revolution Analytics mailing list at http://revolutionanalytics.com/newsletter to be alerted to new articles on a monthly basis.

As always, thanks for the comments and please keep sending suggestions to me at davidsmi at microsoft.com or via Twitter (I'm @revodavid).

# David

David M Smith <davidsmi at microsoft.com>
R Community Lead, Microsoft
Twitter: @revodavid
Blog:  http://blog.revolutionanalytics.com <http://blog.revolutionanalytics.com/>
We’re hiring! http://azuremljobs.github.io/

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