[Rd] Revolutions Blog: January 2014 roundup
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 Germán Rodríguez 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 da...@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 VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Seattle WA, USA) Twitter: @revodavid __ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Re: [Rd] Revolutions Blog: January 2014 roundup
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 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 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 Germán Rodríguez 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 da...@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 > VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com > Tel: +1 (650) 646-9523 (Seattle WA, USA) > Twitter: @revodavid __ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
[Rd] R CMD check, NOTEs, & S4-dependent packages
As I was running "R CMD check" on one of my older packages
(matlab), I was attempting to fix one of the NOTEs which
bitches about attempting to change the search path using
require().
In my case, I am repeating a package dependency for "methods"
package in my .onLoad() function. Can this scenario (based
on something B. Ripley discussed many years ago) no longer
occur? Just another R package anachronism? Was I really
modifying the search path by repeating a DESCRIPTION dependency?
.onLoad <- function(libname, pkgname) {
## In case namespace is loaded (via import) by package that
## doesn't depend on S4 methods and used in a session with
## non-default set of packages.
require(methods)
Š
}
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Re: [Rd] R CMD check, NOTEs, & S4-dependent packages
You don't need this .onLoad anymore. Just Depends on methods and use
import(methods) (or perhaps be more specific) in NAMESPACE
Kasper
On Tue, Feb 4, 2014 at 7:13 PM, Roebuck,Paul L wrote:
> As I was running "R CMD check" on one of my older packages
> (matlab), I was attempting to fix one of the NOTEs which
> bitches about attempting to change the search path using
> require().
>
> In my case, I am repeating a package dependency for "methods"
> package in my .onLoad() function. Can this scenario (based
> on something B. Ripley discussed many years ago) no longer
> occur? Just another R package anachronism? Was I really
> modifying the search path by repeating a DESCRIPTION dependency?
>
>
> .onLoad <- function(libname, pkgname) {
> ## In case namespace is loaded (via import) by package that
> ## doesn't depend on S4 methods and used in a session with
> ## non-default set of packages.
> require(methods)
>
> Å
> }
>
> __
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
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