[R] Revolutions blog: May 2015 roundup

[David Smith]

Since 2008, 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. 

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

RStudio 0.99 released with improved autocomplete and data viewer features: http://blog.revolutionanalytics.com/2015/05/rstudio-099-released.html

The new Naive Bayes classifier in the RevoScaleR package: http://blog.revolutionanalytics.com/2015/05/revoscalers-naive-bayes-classifier-rxnaivebayes.html

R is the most popular Predictive Analytics / Data Mining / Data Science software in the latest KDnuggets poll: http://blog.revolutionanalytics.com/2015/05/r-tops-2015-kdnuggets-software-poll-.html

A Shiny application predicts the winner of baseball games mid-game using R: http://blog.revolutionanalytics.com/2015/05/situational-baseball-analyzing-runs-potential-statistics.html

A list of open data sources you can use with R: http://blog.revolutionanalytics.com/2015/05/open-data-sets-you-can-use-with-r.html

Revolution R Open 3.2.0 now available http://blog.revolutionanalytics.com/2015/05/rro-320.html, following RRO 8.0.3 http://blog.revolutionanalytics.com/2015/05/revolution-r-open-803-now-available.html

A review of talks at the Extremely Large Databases conference, featuring Stephen Wolfram and John Chambers: http://blog.revolutionanalytics.com/2015/05/some-first-day-highlights-from-xldb.html

My TechCrunch article on the impact of open source software on business features several R examples: http://blog.revolutionanalytics.com/2015/05/open-soure-software-has-changed-the-way-we-do-business.html

You can improve performance of R even further by using Revolution R Open with Intel Phi coprocessors: http://blog.revolutionanalytics.com/2015/05/behold-the-power-of-parallel.html

New features in Revolution R Enterprise 7.4, now available: http://blog.revolutionanalytics.com/2015/05/announcing_rre7_4.html

The next release of SQL Server will run R in-database: http://blog.revolutionanalytics.com/2015/05/r-in-sql-server.html

Create embeddable, interactive graphics in R with htmlwidgets: http://blog.revolutionanalytics.com/2015/05/a-first-look-at-htmlwidgets.html

Computerworld reviews R packages for data wrangling: http://blog.revolutionanalytics.com/2015/05/computerworlds-list-of-r-packages-for-data-wrangling.html

A tutorial on using data stored in the Azure cloud with R: http://blog.revolutionanalytics.com/2015/05/using-azure-as-an-r-datasource.html

Using histograms as points in scatterplots, and other embedded plots in R: http://blog.revolutionanalytics.com/2015/05/digging-up-embedded-plots.html

A comparison of data frames, data.table, and dplyr with a random walks problem: http://blog.revolutionanalytics.com/2015/05/random-walks-and-datatable.html

A video on using R for human resources optimization: http://blog.revolutionanalytics.com/2015/05/data-science-in-hr.html

How to call R and Python from base SAS: http://blog.revolutionanalytics.com/2015/05/call-r-and-python-from-base-sas.html

General interest stories (not related to R) in the past month included: a song written by an iPhone (http://blog.revolutionanalytics.com/2015/05/because-its-friday-the-autocomplete-song.html), a Facebook algorithm that tells when "like" becomes "love" (http://blog.revolutionanalytics.com/2015/05/facebook-love.html), a map of light pollution (http://blog.revolutionanalytics.com/2015/05/because-its-friday-light-pollution-map.html), and a machine-learning application that tells you how old you look (http://blog.revolutionanalytics.com/2015/05/because-its-friday-how-old-do-you-look.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).

Cheers,
# David

-- 
David M Smith <davidsmi at microsoft.com>
R Community Lead, Revolution Analytics (a Microsoft company)  
Tel: +1 (312) 9205766 (Chicago IL, USA)
Twitter: @revodavid | Blog:  http://blog.revolutionanalytics.com
We are hiring engineers for Revolution R and Azure Machine Learning.
http://azuremljobs.github.io/