[R] Revolutions blog: June roundup

[David Smith]

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 June:

You can create a Word document from a template and an R script with
the R2DOCX package: http://bit.ly/17XigAJ

Joe Rickert reviews books and other resources for learning about time
series analysis in R: http://bit.ly/17Xiisn

Timely Portfolio covers 15 years of history of time series plotting
with R: http://bit.ly/17Xiisp

An online beer recommendation application serves as an in-depth
example of building a recommendation system with R:
http://bit.ly/17XigAK

Software company SAP says that "skills around the open source R
programming language and advanced analytics are rapidly shifting from
'niche' to 'standard' requirements": http://bit.ly/17Xiiso

A primer on maximum likelihood estimation in R with the bbmle package:
http://bit.ly/17XigAI

American Century Investments describe how they created their own R
package to optimize investments and model supplier relationships in a
video presentation: http://bit.ly/17Xiisq

How to draw attractive decision trees using the rpart.plot package:
http://bit.ly/17Xiisr

What is a data scientist, what skills should they have, and how is the
practice evolving? My take: http://bit.ly/17XigAL

Computerworld's 6-part beginner's guide to R: http://bit.ly/17XigAM

RStudio has made CRAN download statistics available, enabling a
ranking of the top R packages by downloads: http://bit.ly/17XigAN

Big Data and statistical modeling is changing video games: helping to
identify bottlenecks for new players, detect fraud, and maximize
in-app purchases. Details in this webinar replay:
http://bit.ly/17Xiiss

A mini-tutorial on using the Quandl package to import public financial
data sets into R: http://bit.ly/17Xiist

Dirk Eddelbuettel's book, Seamless R and C++ Integration with Rcpp, is
now available: http://bit.ly/17XigAO

An interactive application based on R and Shiny maps dialect
differences across the USA: http://bit.ly/17XigAP

Generating parallel random number streams with the RevoScaleR package:
http://bit.ly/17Xiisu

R again shows strong growth in the annual KDNuggets software poll:
http://bit.ly/17XigAQ

Some very useful guidelines for setting up a reproducible R project:
http://bit.ly/17Xiisv

Some non-R stories in the past month included: A new Hadoop appliance
from Teradata (http://bit.ly/17XigAT), a new Big Data Innovation
Center in Singapore (http://bit.ly/17XigAU), a drum/keyboard Billie
Jean cover (http://bit.ly/17XigAW), women in movies
(http://bit.ly/17XigAV), a Daft Punk / Soul Train mashup
(http://bit.ly/17Xiisw), and It Gets Better at NASA
(http://bit.ly/17Xiisx).

Meeting times for local R user groups
(http://blog.revolutionanalytics.com/local-r-groups.html) can be found
on the updated R Community Calendar at:
http://blog.revolutionanalytics.com/calendar.html

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, 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