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 June:
Highlights of presentations from the R/Finance 2011 conference:
http://bit.ly/pgOVfm
Trulia uses R and statistical models to map local crime: http://bit.ly/quQVbJ
Resources for data mining with R: http://bit.ly/pVNP6W
K-means clustering on large data sets with the RevoScaleR package:
http://bit.ly/ok22ub
Revolution Analytics' CTO David Champagne writes on real-time
analytics for capital markets with R: http://bit.ly/psl3b6
We profile UCLA's Jeroen Ooms, creator of several interactive
web-based applications based on R: http://bit.ly/mPlyLW
How to create maps of geographic networks by drawing great circles in
R: http://bit.ly/nP7nXh
According to CIO Magazine, Data Scientist is among the 6 hottest jobs
in IT - and R is a key skill to have: http://bit.ly/qlWRyn
A replay and slides are available for download for our webinar, "The
Big Analytics Revolution starts with R": http://bit.ly/nFbCeO
There are now more than 5000 questions on R at stackoverflow.com:
http://bit.ly/mSKm3h
Cluster analysis on baseball data shows where the Seattle Mariners
right-fielder Ichiro tends to hit: http://bit.ly/mVOhP0
Revolution Analytics' engineer Sherry LaMonica shows how to do
principal components analysis on big data sets with the RevoScaleR
package: http://bit.ly/ovlKAo
R resources for biostatisticians at the Bioinformatics Knowledgeblog:
http://bit.ly/oJzKA7
R is amongst the five things that all biologists should know about
Statistics, according to the Head of Nucleotide Data at the European
Bioinformatics Institute: http://bit.ly/qNCLXy
Video recordings of two R-related talks from Hadley Wickham (on
interactive graphics, and on engineering data analysis) are available
for viewing online: http://bit.ly/neExPe
How to speed up R "for" loops by recoding the body in C++ with help
from the Rcpp package: http://bit.ly/qGcopC
A review of the June edition of the R Journal: http://bit.ly/os5KAe
Revolution Analytics demonstrated integrating R with the IBM Netezza
data warehouse appliance at the EnZee Universe conference:
http://bit.ly/nC3nYi
The blog Heuristically Andrew ran some benchmarks of Revolution R for
data mining applications: http://bit.ly/pepJ65
A brief overview of the changes in R 2.13.1: http://bit.ly/nhTxac
Other non-R-related stories in the past month included: the impact of
big analytics on business (http://bit.ly/pYHjsj ); a defense of data
mining ethics (http://bit.ly/oKXffN ); a new analyst report on Big
Data (http://bit.ly/ojkea7 ); WW2 data visualizations from the
Churchill War Rooms (http://bit.ly/ofMl4G ); the Data Without Borders
project (http://bit.ly/nk7Mwv ); and a data modeling competition from
Wikipedia (http://bit.ly/mPKQF5 ).
On a lighter note, we also had posts on: the Lord of the Rings story
in map form (http://bit.ly/neKWWg ); and Radiohead music videos
(http://bit.ly/mUSy2e ).
There is a new R user group (http://bit.ly/eC5YQe ) in Buenos Aires,
Argentina (http://bit.ly/mXZFrV). 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)
