From whuber at embl.de  Sun Feb 16 09:46:50 2014
From: whuber at embl.de (Wolfgang Huber)
Date: Sun, 16 Feb 2014 09:46:50 +0100
Subject: [Rd]  Revolutions Blog: January 2014 roundup
Message-ID: <6539EBDA-AB13-4E06-9249-664433379701@embl.de>


FYI:

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 January:

Princeton's Germ?n Rodr?guez has published a useful "Introduction to
R" guide, with a focus on linear and logistic regression:
http://bit.ly/1c1bero

The rxDForest function in the RevoScaleR package fits random forests
of histogram-binning trees: http://bit.ly/1b08qAq

A tutorial on using the xts package to analyze http://bit.ly/1c1bc30
and plot time series data http://bit.ly/1c1bc31

In a video interview with Trevor Hastie, John Chambers recounts the
history of S and R: http://bit.ly/1c1bern

A review of "Doing Data Science", a new book by Rachel Schutt and
Cathy O'Neil http://bit.ly/1c1berp

Hadley Wickham introduces the dplyr package, with its "grammar of data
manipulation" http://bit.ly/1c1bcje

The new choroplethr package makes it easier to create data maps in R:
http://bit.ly/1c1bcjf

A developer preview of SparkR, an interface between R and Apache
Spark, is now available: http://bit.ly/1c1berq

Joseph Rickert reviews the capabilities of R for topological data
analysis: http://bit.ly/1c1berr

In a recent survey of data scientists, R is the most-used software
tool other than SQL: http://bit.ly/1c1bers

A new JSS article on computing with massive data, and a change in
policy for acceptable JSS software licenses: http://bit.ly/1b08srV

Large scale optimization with the optim and rxDataStep functions:
http://bit.ly/1c1bert

Large enterprise software vendors with connections to R: http://bit.ly/1c1bcji

A preview of a forthcoming update to Max Kuhn's caret package, and an
interactive chart showing similarities amongst the 143 statistical and
machine learning models it supports: http://bit.ly/1c1beru

Simulation-based forecasts by combining expert opinion: http://bit.ly/1c1bcjj

Tips on getting R help: http://bit.ly/1c1bcjk

The top 10 posts on the Revolutions blog from 2013: http://bit.ly/1b08qAt

Some non-R stories in the past month included: levitation with sound
waves (http://bit.ly/1c1bcjl), the NYT's 4th Down Bot
(http://bit.ly/1c1berv), bird flight patterns (http://bit.ly/1c1bcjm),
camera magic on Vine (http://bit.ly/1c1berw), visualizing whisky
flavor profiles (http://bit.ly/1c1bcjn), the Cornsweet illusion
(http://bit.ly/1b08srW), and a one-sentence explanation of the Fourier
Transform (http://bit.ly/1c1berz).

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).

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

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[Rd] Revolutions Blog: January 2014 roundup
Wolfgang Huber