[R] Revolutions Blog: August Roundup
David Smith
david at revolutionanalytics.com
Wed Sep 7 19:54:11 CEST 2011
I 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 August:
A contest to showcase applications of R for businesses is offering
$20,000 in prizes from Revolution Analytics: http://bit.ly/qufEjy
Three new open-source packages integrating R and Hadoop will be
introduced by Revolution Analytics' CTO David Champagne in a webinar
on September 21: http://bit.ly/n9V1mw
Dirk Eddelbuettel will present live one-day master classes on
programming with Rcpp in New York (Sep 24) and San Francisco (Oct 8):
http://bit.ly/pXyjgY
Luke Tierney announced at JSM that R 2.14 will be faster, with the
byte compiler used for base and recommended packages:
http://bit.ly/puVhJS
Three Google employees talk at JSM about how they use R: http://bit.ly/qfXNrE
Survey respondents at JSM consider themselves data scientists, expect
usage of R and Revolution R to grow: http://bit.ly/obEbZ1
An open-source analyst profiles Revolution Analytics and remarks on
big-data applications of R: http://bit.ly/pkB9gC
An R user at ANZ bank in Australia talks about how he uses R for
credit risk analysis: http://bit.ly/mZTRZc
Two grad students at University of Michigan use R to determine what
factors most influence the selection committee for the Hockey Hall of
Fame: http://bit.ly/pnvbtZ
FastCompany published an article on "telling stories with data",
featuring two websites that often use R, FlowingData and the OkTrends
blog: http://bit.ly/nLWIVA
News from the Revolution Analytics August newsletter: http://bit.ly/nexaW6
You can install Emacs with the ESS interface to R on Windows and Macs
in less than 2 minutes: http://bit.ly/ribZjy
I gave a talk at useR! on the R Ecosystem: the R project, the R
community, and companies using and working with R:
http://bit.ly/nLatKo
Brian Ripley gave some insights into R's development process, and the
future of R, in his talk at useR!: http://bit.ly/qIhT0T
A profile of R-core member Martyn Plummer: http://bit.ly/oN1Fuk
Joseph Rickert uses the RevoScaleR package to look at the residuals
from a large linear model: http://bit.ly/oNSMFU
Roundups of various talks given at the useR! 2011 conference from me:
http://bit.ly/oFMuXF and several other attendees: http://bit.ly/qqmLj7
In a tongue-in-cheek post, Business Intelligence analyst Steve Miller
"complains" that there's too much new stuff in R: http://bit.ly/oQfuhE
The rdatamarket package makes it easy to download more than 100M time
series for use in R: http://bit.ly/ovCTHb , and there are many other
packages to bring data into R as well: http://bit.ly/qsBq6c
The slides and replay from the recent Revolution Analytics webinar,
100% R and More, are available for download: http://bit.ly/pGZYcD
Jeroen Ooms' new project, OpenCPU, lets you embed live R graphics in
web pages: http://bit.ly/nbj5Xc
An analysis of the R source tree reveals that about 50% of R is
written in C, while R packages on CRAN are about 50% R:
http://bit.ly/pngg3S
A new white paper by Norman Nie looks at the impact of statistical
analysis methodology on working with Big Data: http://bit.ly/psdaTZ
Other non-R-related stories in the past month included: a really bad
infographic (http://bit.ly/mUDZm0 ), exploring abandoned metro tunnels
(http://bit.ly/nkgDgH ), a stunning 360-degree view of space
(http://bit.ly/p3cUk5 ) and parkour videos (http://bit.ly/njR0Ch ).
There is a new R user group (http://bit.ly/eC5YQe ) at the University
of Utah (http://bit.ly/oTo2xc ). Meeting times for these groups 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/.
Join the Revolution 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 like Google 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 (Palo Alto, CA, USA)
More information about the R-help
mailing list