[R] Revolutions blog: October roundup
Revolution Analytics staff and guests 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 October: R hits a new milestone with 6,000 CRAN packages, and R 3.1.2 released: http://bit.ly/1xDbIzZ Revolution Analytics announces Revolution R Open, a supported and enhanced downstream distribution of R: http://bit.ly/1xDbKrn . (I'll be presenting a webinar on this topic on Wednesday November 12: http://bit.ly/1xDbKro ) Some benchmarks on the performance improvements that come from linking Revolution R Open with the Intel Math Kernel Libraries: http://bit.ly/1xDbIzX Now available: the Reproducible R Toolkit: a package (checkpoint) and a server containing archived CRAN packages to make it easy to reproduce the results of R code that uses packages: http://bit.ly/1xDbIzW Revolution Analytics has released DeployR Open, a new open-source framework for integrating R into other applications: http://bit.ly/1xDbIzY The new MRAN website mran.revolutionanalytics.com provides a dependency graph for every R package on CRAN: http://bit.ly/1xDbIQc A new package miniCRAN makes it easy to create a local package repository with a subset of CRAN packages: http://bit.ly/1xDbIQe The ACM held an unconference near San Francisco, and featured a comparison of principal components analysis in R and Python: http://bit.ly/1xDbIQd The author of the survival package, Dr Terry Therneau, on the state of Type III tests in R: http://bit.ly/1xDbKrp Using R to create a fashion fingerprint to visualize colours in a fashion collection: http://bit.ly/1xDbIQg The new Rocker project provides easy-to-use Docker containers (similar to virtual machines) including R: http://bit.ly/1xDbIQf HP releases Distributed R, an R package to integrate with the HP Vertica database: http://bit.ly/1xDbKrt Some tips on controlling R resource usage when deployed in a production environment: http://bit.ly/1xDbIQi An exhortation to explore complex (and even not-so-complex) statistical problems with simulation: http://bit.ly/1xDbIQh Presentations from R user groups on image analysis, data mapping and data journalism: http://bit.ly/1xDbIQj The Fantasy Football Analytics blog suggests 14 reasons why R is better than Excel for data analysis: http://bit.ly/1xDbKrs An overview of the Tweedie distribution, which judging from citations is becoming more widely used: http://bit.ly/1xDbKru A look at the GLDEX package and the Generalized Lambda Distribution to model financial returns: http://bit.ly/1xDbKrv In a video interview, RStudio's Joe Cheng discusses how the design of the R language supports the implementation of domain-specific languages: http://bit.ly/1xDbIQm Slides from the webinar R and Data Science, presented by Joseph Rickert: http://bit.ly/1xDbKry An article in the New York Times contrasts Bayesian and Frequentist statistics: http://bit.ly/1xDbKrx General interest stories (not related to R) in the past month included: a Halloween prank (http://bit.ly/1xDbIQn), teaching robots to walk with a genetic algorithm (http://bit.ly/1xDbKrw), if dogs and cats kept diaries (http://bit.ly/1xDbIQo), the bookbook (http://bit.ly/1xDbIQp), and the direction techniques of David Fincher (http://bit.ly/1xDbIQq). 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 or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith da...@revolutionanalytics.com Chief Community Officer, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Chicago IL, USA) Twitter: @revodavid -- Revolution R Plus http://revolutionanalytics.com/plus Subscribe to Technical Support Indemnification for R __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Revolutions blog: October 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 October: Joe Rickert recounts the R presence at the Strata + Hadoop World conference, including slides from the R and Hadoop tutorial: http://bit.ly/1acPavl Hadley Wickham's favorite tools, gadgets and software (including of course R): http://bit.ly/1acPavm Revolution R Enterprise 7 is announced, including R 3.0.2: http://bit.ly/1acP8DM I was interviewed on camera by theCUBE about R, data science, and Revolution R Enterprise 7: http://bit.ly/1acP8DO Patrick Burns shares some good reasons for switching from spreadsheets to R for data analysis: http://bit.ly/1acP8DN R is used for several sports-related analyses at the The New England Symposium of Statistics in Sport: http://bit.ly/1acPavk Some tips for using the .Rprofile file to customize your R session at startup: http://bit.ly/1acP8DP Quandl’s introduction to econometrics using R: http://bit.ly/1acPavr Video replay of a recent webinar by DataSong on implementing time-to-event models with Revolution R Enterprise: http://bit.ly/1acP8DQ Revolution R Enterprise is now integrated with Alteryx to provide a drag-and-drop GUI workflow for R: http://bit.ly/1acPavt An article in Forbes discusses using R from the Alteryx drag-and-drop workflow interface: http://bit.ly/1acPavs Joe Rickert reviews the sessions at the ACM 2013 Big Data Camp: http://bit.ly/1acP8DR The New York Times published an article on fantasy football analysis with R: http://bit.ly/1acPaLG The latest Rexer poll shows the use of R continues to skyrocket. It’s the most popular data mining tool by a wide margin: http://bit.ly/1acPaLH Replays of two recent webinar presentations on using R on Hadoop, presented by Cloudera http://bit.ly/1acPaLI and Hortonworks http://bit.ly/1acP8U8 in conjunction with Revolution Analytics. Tips and resources for using R for signal processing and time series analysis: http://bit.ly/1acP8U7 The popular data-visualization software Tableau adds integration with R: http://bit.ly/1acP8U5 An interactive web tool explains Simpson’s paradox: http://bit.ly/1acPaLJ R-related presentations from the DataWeek 2013 conference, including how an IBM division replaced SAS with R: http://bit.ly/1acP8U9 Some non-R stories in the past month included: remembering video stores (http://bit.ly/1acP8Ub), some optical illusion trickery (http://bit.ly/1acPaLK), better voting systems (http://bit.ly/1acPaLL), a funny interpretation of air safety videos (http://bit.ly/1acP8Ua) and a discussion on how to get ROT from analytics (http://bit.ly/1acPaLM). 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://bit.ly/MH2I2Q 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 da...@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 __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Revolutions Blog: October Roundup
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 October: Reviews of the winners and finalists of the 2010 ggplot2 case study competition: http://bit.ly/ckJxHZ We have published a new article R is Hot, with interviews from a dozen R users in industry and academia: http://bit.ly/d7rZI9 A new code highlighting tool for displaying R code on the web: http://bit.ly/bra4ap A white paper and video describing how an anomaly in the 2000 US Census data is revealed using the RevoScaleR package: http://bit.ly/dzFXgk A suggestion for a workflow for R projects to promote transparency, maintainability, modularity, portability, reproducibility and efficiency: http://bit.ly/bopvbR A video of using the code snippets feature in the Revolution R IDE to insert templates of R code: http://bit.ly/dgJ7aR A new competition to build a predictive model to identify popular R packages in CRAN: http://bit.ly/cL9NI7 A profile of Rhipe (Hadoop/R integration) author and new Revolution employee Saptarshi Guha: http://bit.ly/9k7ABg . Saptarshi Guha's presentation at Hadoop World on using Rhipe to analyze VOIP quality data was profiled in the SD Times: http://bit.ly/a81qdy A lattice chart illustrates the impact of the new Google Instant on paid search: http://bit.ly/cSi7d8 Improvements in R 2.12.0, released on October 15: http://bit.ly/9nti8L Three upcoming R courses from Statistics.com: http://bit.ly/a1Xbdo R is nominated for (http://bit.ly/cZUl99) and wins (http://bit.ly/9PdD5C) a major Open Source award in New Zealand. An article in InfoWorld notes that R is a programming language on the rise: http://bit.ly/aLLdU9 O'Reilly has published a Rough Cuts preview of the forthcoming R Cookbook by Paul Teetor: http://bit.ly/cUC5da Revolution Analytics names Lee Edlefsen as Chief Scientist: http://bit.ly/a9b7zc Other non-R-related stories in the past month included the Data Science Venn Diagram (http://bit.ly/d5AzgN), busting gay stereotypes with data analysis (http://bit.ly/aRza7H), World Statistics Day (http://bit.ly/agxfjO), Arthur C Clarke's uncanny predictions from 1964, an article in the NYT about the language of Statistics (http://bit.ly/cMpCXH), SAS's battle against open source (http://bit.ly/abP8sz), and a Tufte map of the US economic stimulus. On a lighter note, we had: why we should get rid of pennies (http://bit.ly/avS0TJ), the Möbius Bagel (http://bit.ly/clPLCm), and a groan-worthy Physics pun (http://bit.ly/bzGOjY). There are new R user groups in Toronto (http://bit.ly/bWhJyw), Houston (http://bit.ly/c0XFGp) and Cincinnati/Dayton (http://bit.ly/97FpZx). The R Community Calendar has also been updated 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 da...@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). # David Smith -- David M Smith da...@revolutionanalytics.com VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 330-0553 x205 (Palo Alto, CA, USA) __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Revolutions blog: October roundup
I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com . In case you missed them, here are some articles from last month of particular interest to R users. http://bit.ly/16wIdo offered a sneak peek of the debugger we've since released for subscribers of REvolution R Enterprise on Windows: http://bit.ly/1uxU3w . http://bit.ly/sZLaR brought news of big changes for us here at REvolution Computing, with new funding and a new CEO. http://bit.ly/3j0cuv showcased Jeroen Oons' web-based interface to the lme4 package. http://bit.ly/2cAIzQ linked to some animated data visualizations created with R. http://bit.ly/12JNM1 celebrated the 50,000th update to the R source code, and linked to Romain François' analysis of the rate of code changes over time. http://bit.ly/zaP0l brought news of new R user groups in Germany, Spain, and Washington, DC. http://bit.ly/uIRHM linked to some pointers on getting started with Machine Learning in R. http://bit.ly/HE5Zj lists seven tips for surviving R, based on John Mount's talk at the Bay Area UseR Group. http://bit.ly/3Ycpaj announced the inclusion of REvolution R in the recent Ubuntu Linux update. http://bit.ly/1POcTb provides a source of up-to-date political and administrative boundaries for geographic maps in R. http://bit.ly/WsDbt shows how to export several data frames from R to a multi-sheet Excel workbook. http://bit.ly/4pLnIV linked to some tips on using Hadley Wickham's handy ply package. http://bit.ly/1kU871 reminds that the UseR! conference will be in Maryland USA next year, and you can register and submit abstracts now. Other non-R-specific stories in the last month covered polling fraud (http://bit.ly/iU7RO), how Shazam can identify a song from a noisy 10-second clip (http://bit.ly/26TPwd) and (on the lighter side) Carl Sagan singing (http://bit.ly/L8sTu), data mining disasters (http://bit.ly/oaCVu), truthful lottery tickets (http://bit.ly/3bLG9a), and a music video featuring trigonometry (http://bit.ly/2wH6q4). (I've provided short URLs above because many mailers break the long direct URLs.) The R Community Calendar has also been updated at: http://blog.revolution-computing.com/calendar.html As always, thanks for the comments and please keep sending suggestions to me at da...@revolution-computing.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 to all, # David Smith -- David M Smith da...@revolution-computing.com VP of Community, REvolution Computing http://blog.revolution-computing.com Tel: +1 (206) 577-4778 x3203 (Palo Alto, CA, USA) Download REvolution R free: www.revolution-computing.com/downloads/revolution-r.php __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
