[R] Revolutions blog: October roundup
David Smith
david at revolutionanalytics.com
Fri Nov 8 19:52:47 CET 2013
Revolution Analytics staff write 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 October:
Joe Rickert recounts the R presence at the Strata + Hadoop World
conference, including slides from the R and Hadoop tutorial:
http://bit.ly/1acPavl
Hadley Wickham's favorite tools, gadgets and software (including of
course R): http://bit.ly/1acPavm
Revolution R Enterprise 7 is announced, including R 3.0.2: http://bit.ly/1acP8DM
I was interviewed on camera by theCUBE about R, data science, and
Revolution R Enterprise 7: http://bit.ly/1acP8DO
Patrick Burns shares some good reasons for switching from spreadsheets
to R for data analysis: http://bit.ly/1acP8DN
R is used for several sports-related analyses at the The New England
Symposium of Statistics in Sport: http://bit.ly/1acPavk
Some tips for using the .Rprofile file to customize your R session at
startup: http://bit.ly/1acP8DP
Quandl’s introduction to econometrics using R: http://bit.ly/1acPavr
Video replay of a recent webinar by DataSong on implementing
time-to-event models with Revolution R Enterprise:
http://bit.ly/1acP8DQ
Revolution R Enterprise is now integrated with Alteryx to provide a
drag-and-drop GUI workflow for R: http://bit.ly/1acPavt
An article in Forbes discusses using R from the Alteryx drag-and-drop
workflow interface: http://bit.ly/1acPavs
Joe Rickert reviews the sessions at the ACM 2013 Big Data Camp:
http://bit.ly/1acP8DR
The New York Times published an article on fantasy football analysis
with R: http://bit.ly/1acPaLG
The latest Rexer poll shows the use of R continues to skyrocket. It’s
the most popular data mining tool by a wide margin:
http://bit.ly/1acPaLH
Replays of two recent webinar presentations on using R on Hadoop,
presented by Cloudera http://bit.ly/1acPaLI and Hortonworks
http://bit.ly/1acP8U8 in conjunction with Revolution Analytics.
Tips and resources for using R for signal processing and time series
analysis: http://bit.ly/1acP8U7
The popular data-visualization software Tableau adds integration with
R: http://bit.ly/1acP8U5
An interactive web tool explains Simpson’s paradox: http://bit.ly/1acPaLJ
R-related presentations from the DataWeek 2013 conference, including
how an IBM division replaced SAS with R: http://bit.ly/1acP8U9
Some non-R stories in the past month included: remembering video
stores (http://bit.ly/1acP8Ub), some optical illusion trickery
(http://bit.ly/1acPaLK), better voting systems
(http://bit.ly/1acPaLL), a funny interpretation of air safety videos
(http://bit.ly/1acP8Ua) and a discussion on how to get ROT from
analytics (http://bit.ly/1acPaLM).
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://bit.ly/MH2I2Q 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).
Cheers,
# 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
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