[R] Revolutions blog: February 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 February:

The John M. Chambers Statistical Software Award announcement for 2015:
http://bit.ly/1CWIfXT

The new R package "distcomp" allows researchers to collaborate on data
spread across multiple sites: http://bit.ly/1CWIfXU

I gave an interview to theCUBE on R, data science, and Microsoft's
acquisition of Revolution Analytics: http://bit.ly/1CWIfaC

R is used to measure impact of climate change, and other Strata
keynote presentations: http://bit.ly/1CWIfqQ

Some tricks for monitoring the progress on parallel R jobs using
foreach: http://bit.ly/1CWIfaD

"Analytics Marketplaces" are all the rage today, but CRAN was there
first: http://bit.ly/1CWIfXS

A preview of some of the major R-related conferences and events of
2015: http://bit.ly/1CWIfXV

The checkpoint package has been updated to make it even easier to run
R scripts with fixed R package versions: http://bit.ly/1CWIfqS

A tutorial to introduce R to users of Microsoft Excel: http://bit.ly/1CWIfqT

R used to assess the "virality" of posts on new-media sites like
Buzzfeed: http://bit.ly/1CWIfqU

A review of the HP Workshop on Distributed Computing in R featuring
Luke Tierney, Dirk Eddelbuettel, Martin Morgan, Simon Urbanek and
other R luminaries: http://bit.ly/1CWIfXX

R is the top-ranked language on GitHub, as measured by the number of
forks per repository: http://bit.ly/1CWIfXW

You can use the rcrunchbase package to access data on startup
companies: http://bit.ly/1CWIfXY

The R package "syuzhet" applies sentiment analysis to novels to infer
their dramatic arc: http://bit.ly/1CWIfqX

The new "quickcheck" package provides assertion-based testing with
random inputs for R: http://bit.ly/1CWIfqY

A theorem for calculating an upper bound for the generalization error
of a machine learning classifier: http://bit.ly/1CWIfXZ

Some practical advice for sharing Shiny applications with
shinyapps.io: http://bit.ly/1CWIfqZ

A visualization of Paris's street orientations reveals the history of
the city: http://bit.ly/1CWIfY0

General interest stories (not related to R) in the past month
included: how our brains trick us into seeing the wrong colors
(http://bit.ly/1CWIfr0), an hilarious parody of cooking shows
(http://bit.ly/1CWIfr4), a new ASA website to help journalists with
Statistics (http://bit.ly/1CWIfY1), the statistical model behind the
rules of cricket (http://bit.ly/1CWIfY2), and why rivers meander
(http://bit.ly/1CWIfr6).

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