From david at revolutionanalytics.com  Wed Feb  5 00:20:21 2014
From: david at revolutionanalytics.com (David Smith)
Date: Tue, 4 Feb 2014 15:20:21 -0800
Subject: [Rd] Revolutions Blog: January 2014 roundup
In-Reply-To: <CABgvEC9hDhQa_B5eGMbmLiWD+FeMtXG5xLU+TmrEC75G4DvToA@mail.gmail.com>
References: <CABgvEC9hDhQa_B5eGMbmLiWD+FeMtXG5xLU+TmrEC75G4DvToA@mail.gmail.com>
Message-ID: <CABgvEC-wfC31yqmve9KQjXXdP7-av5NFRNamazrC0-Kz4LnCjQ@mail.gmail.com>

Apologies, r-devel -- I meant to send that message to r-help as I've
done for the past five years. I'll resend it there now. Sorry about
the duplication.

# David Smith
-- 
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



On Tue, Feb 4, 2014 at 3:01 PM, David Smith
<david at revolutionanalytics.com> wrote:
> 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



[Rd] Revolutions Blog: January 2014 roundup
David Smith