[R] Revolutions Blog: September roundup

David Smith david at revolutionanalytics.com
Thu Oct 10 23:08:06 CEST 2013

Revolution Analytics staff write 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 September:

Todd Schneider wrote an algorithm in R to find the "most convex" US
state (it's NY), and created an animation to show how it works:

Rob Hyndman (of the "forecast" package) describes how R-based
forecasting saved the Australian government millions, in a video
describing his new online course: http://bit.ly/19qzGnO

Revolution Analytics sponsored more than 60 local R user groups in
2013, and is now taking sponsorships applications for 2014:

R 3.0.2 is now available, with bug fixes and improved documentation
support: http://bit.ly/19qzJ2N

Some tips for data scientists on using R as part of a command-line
tool chain: http://bit.ly/19qzJ2M

Replay of a Google Hangout panel discussion on how open-source
software including R is changing business: http://bit.ly/19qzGnN

Hortonworks shares some resources for getting started with Data
Science and R: http://bit.ly/19qzJ2R

R represented 57% of the software supplements to the Journal of
Computational and Graphical Statistics over the past year:

On Talk Like a Pirate Day -- Rrrr! -- R was used to chart real-life
pirate attacks (http://bit.ly/19qzGnQ), create a pun-inspired pirate
flag (http://bit.ly/19qzJ2S), and the Revolution Analytics staff had
some pirate fun (http://bit.ly/19qzJ2T).

Revolution Analytics partners with Teradata to bring R and big-data
statistics into the database: http://bit.ly/19qzJ2U

An article in Datanami discusses R in Hadoop: http://bit.ly/19qzJ2X

Reports from the alpha test of the Revolution Analytics' RevoScaleR
package running in Hadoop: http://bit.ly/19qzGE9

A survey of JSM attendees reveals concerns about data privacy and
ethical frameworks for data use: http://bit.ly/19qzJ2V

Coursera's online R courses are back on: Computing for Data Analysis
started on September 23, and Data Analysis starts on October 28:

A neat R-based animation shows the progression of a
Metropolis-Hastings algorithm for Bayesian estimation:

R was mentioned in articles in Data Informed and TechRepublic:

There are now more than 125 R user groups worldwide, as this map
shows: http://bit.ly/19qzJ2W

Slides from two recent Revolution Analytics presentations on:
high-performance predictive analytics in R and Hadoop; and Big Data,
Big Analytics http://bit.ly/19qzJ2Y

A tutorial on how to set up R, Hadoop and RHadoop on a single
workstation/laptop (for learning or testing): http://bit.ly/19qzJ2Z

R is named the top language for data science for the third year
running in the KDNuggets poll: http://bit.ly/19qzJ30

Some non-R stories in the past month included: some terrible data
visualizations (http://bit.ly/19qzGEb), a data visualization of
checkins in SF (http://bit.ly/19qzJ31), paintings of a retro sci-fi
Sweden (http://bit.ly/19qzJje), and software for making 3-D models
from 2-D images (http://bit.ly/19qzGEc).

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 . Don't forget you can also
follow the blog using an RSS reader, or by following me on Twitter
(I'm @revodavid).

# David
David M Smith <david at revolutionanalytics.com>
VP of Marketing, Revolution Analytics  http://blog.revolutionanalytics.com
Tel: +1 (650) 646-9523 (Seattle WA, USA)
Twitter: @revodavid
We're hiring! www.revolutionanalytics.com/careers

More information about the R-help mailing list