[R] Revolutions blog: January 2015 roundup

[David Smith]

For more than 6 years, 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 January:

Slides on reproducible data analysis with Revolution R Open and the
checkpoint package: http://bit.ly/16GIEiM

A review of a recent Bay Area R User Group meetup, featuring Hadley
Wickham, Ryan Hafen and Nick Elprin: http://bit.ly/16GICrh

In an article at opensource.com, I explain why now is a great time to
learn R and provide some resources to get started:
http://bit.ly/16GIEiL

Norm Matloff reviews the state of the art in parallel programming with
GPUs in R: http://bit.ly/16GICrg

A tongue-in-cheek R script provides excuses for when your P-values
aren't *quite* significant enough: http://bit.ly/16GIEiK

Microsoft will acquire Revolution Analytics. I explain what this means
for Revolution R users and the R community generally
(http://bit.ly/16GICHu), and review the media coverage
(http://bit.ly/16GICrg).

Joe Rickert reviews the state of R integration with Spark: http://bit.ly/16GICHx

Tufte's classic weather data visualization recreated in R for Dayton,
Chicago and New York City: http://bit.ly/16GIEiP

A new R-based course, Statistical Computing for Biomedical Data
Analytics: http://bit.ly/16GICHy

An introductory tutorial for R, aimed at budding econometricians:
http://bit.ly/16GICHz

Harvard offers a free 5-week online course on R: http://bit.ly/16GICHA

A look at, and some resources for using, R's base graphics
capabilities: http://bit.ly/16GIEiQ

An update to the "R is Hot" whitepaper with new applications and
statistics on R usage: http://bit.ly/16GIEiR

Interactive R notebooks with Domino Data Lab: http://bit.ly/16GIEiS

The dplyr package has been updated with new data manipulation commands
for filters, joins and set operations: http://bit.ly/16GICHC

Kudos to the rapidly-growing BioConductor project, recently featured
in Nature: http://bit.ly/16GIEiT

An online R-based application evaluates your risk of flooding:
http://bit.ly/16GICHB

Twitter releases an R package for anomaly detection in time series:
http://bit.ly/16GICHD

A Revolution Analytics consultant describes how he used R to visualize
soil attributes using the ggmap package: http://bit.ly/16GIEz8

Yihui Xie created a voice-controlled R graphics application:
http://bit.ly/16GICHE

Video of talks by Trevor Hastie (on machine learning) and John
Chambers (reminiscing on his time at Bell Labs): http://bit.ly/16GICHF

The top 10 posts on the Revolutions blog from 2014: http://bit.ly/16GICHG

General interest stories (not related to R) in the past month
included: a comeback for real and virtual pinball
(http://bit.ly/16GIEza), a geometry construction game
(http://bit.ly/16GICHH), a typography game (http://bit.ly/16GICHI),
and a musical 'tribute' to Shia LeBoeuf (http://bit.ly/16GIEzc).

Meeting times for local R user groups (http://bit.ly/eC5YQe) can be
found on the updated R Community Calendar at: http://bit.ly/bb3naW

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 david at revolutionanalytics.com or via Twitter (I'm
@revodavid).

Cheers,
# David

-- 
David M Smith <david at revolutionanalytics.com>
Chief Community Officer, Revolution Analytics
http://blog.revolutionanalytics.com
Tel: +1 (650) 646-9523 (Chicago IL, USA)
Twitter: @revodavid