[R] Revolutions blog: March 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 March: Francis Smart offers five excellent reasons to use R, and notes that R is the top Google Search for statistical software: http://bit.ly/1dYHrGv Revolution Analytics is offering R training for SAS users in Singapore and online: http://bit.ly/1dYHphT The number of R user groups worldwide continues to grow, and there have already been over 135 meetings in 2014: http://bit.ly/1dYHphV Color palettes for R charts based on the production design of Wes Anderson movies: http://bit.ly/1dYHrGu A history of ensemble methods, by Mike Bowles: http://bit.ly/1dYHrGt An eBook on Big Data and Data Science by the publishers of the Big Data Journal includes articles based on R: http://bit.ly/1dYHphU An in-depth tutorial by Gaston Sanchez on handling character data with R: http://bit.ly/1dYHpi3 Joseph Rickert suggests several large, open data sets you can analyze with R: http://bit.ly/1dYHrGz Rodrigo Zamith updates his web-based application to compare NCAA basketball team performance: http://bit.ly/1dYHpyg Many R projects are under consideration for the 2014 Google Summer of Code: http://bit.ly/1dYHpyh Bob Muenchen shares his secrets of teaching with R: http://bit.ly/1dYHrGA The Atlanta Big Data Analytics Team Challenge sponsored R users to help CARE International: http://bit.ly/1dYHrGB The Human Rights Data Analysis Group uses R and ensemble models to quantify the impact of the war in Syria: http://bit.ly/1dYHrGD An index of contributed R documentation, assembled into an R meta book: http://bit.ly/1dYHrGF The deadline for submitting tutorials to the useR! 2014 conference in LA has been extended to April 10: http://bit.ly/1dYHpyk Derek Norton describes how to do ridge regression using the rxCovCor function of the RevoScaleR package: http://bit.ly/1dYHrGG In an op-ed at RSS StatsLife, I review the role of statisticians in data privacy: http://bit.ly/1dYHpyo A brief summary of the improvements in R 3.0.3: http://bit.ly/1dYHpyr Hidden Markov models in R, with application to detection regime-switching events in financial markets: http://bit.ly/1dYHpys Why automating data science is dangerous without human supervision and statistical expertise: http://bit.ly/1dYHpyt A history of Emacs and ESS-mode for R, by Rodney Sparapani: http://bit.ly/1dYHpyv Some news articles about R and Revolution Analytics in Wired, ComputerWorld, Inside BigData and Datanami: http://bit.ly/1dYHpyu Some non-R stories in the past month included: a real photo that looks like Sim City (http://bit.ly/1dYHrWY), a video of Europe's constantly-changing borders (http://bit.ly/1dYHpyw), the new FiveThirtyEight data journalism site (http://bit.ly/1dYHrWZ), bad-mannered cats (http://bit.ly/1dYHpOQ), and a surprising demonstration of change blindness (http://bit.ly/1dYHpOS). 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, via email using blogtrottr.com, or by following me on 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 (Seattle WA, USA) Twitter: @revodavid __ 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: March 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 March: The doSMP package, which enables parallel processing for R on multiprocessor machine, is now available on CRAN: http://bit.ly/gTS7BJ The Offensive Politics blog provided R code used to make a map of precinct returns in the Chicago mayoral election: http://bit.ly/fon0BJ A connector to integrate R output into JasperReports with RevoDeployR is now available: http://bit.ly/ftkIFy The Iowa State Department of Statistics used R to analyze distribution of stimulus funds, and has an interesting look at some of the errors in the source data: http://bit.ly/hc4q4E The Rexer Analytics Data Miner Survey reports that R is the most commonly-used tool amongst surveyed data miners: http://bit.ly/gD9nmD We cross-posted an essay by Revolution Analytics CEO Norman Nie, Keep an Eye on the Open-Source Analytics Stack: http://bit.ly/eeCUBK Baseball batting averages provide an instructive lesson on checking your assumptions for T-tests: http://bit.ly/fGSK4y We're looking for nominations for R community members to be profiled in the R-Files series on the Revolutions blog: http://bit.ly/h3YCXg R 2.13.0 is scheduled for release on April 13: http://bit.ly/fq1OBt Sherry LaMonica of the Revolution Analytics engineering team reviews the functions in the RevoScaleR package for Big Data: http://bit.ly/gaXChr Amanda Cox presented at the New Your R User Group on how the New York Times uses R for visualization, and you can watch it on video: http://bit.ly/gJM5tH Revolution Analytics announces a partnership with Netezza, to bring R to the TwinFin data warehouse appliance: http://bit.ly/dTuIqD Register your opinions about open-source software in the 2011 Future of Open Source Survey: http://bit.ly/dZG5Oy Robert Muenchen has updated his analysis of popularity of data analysis software, featuring R: http://bit.ly/ekM5bv Tech news site The Register publishes a profile of Revolution Analytics: http://bit.ly/fBeeWP Joseph Rickert shares an example of building a model in R and exporting it to PMML for use with ADAPA: http://bit.ly/e8LGAN Violins of volatility provide a novel way of visualizing financial volatility: http://bit.ly/hkFzpe Revolution Analytics chief scientist Lee Edlefsen is interviewed at the Structure Big Data Conference in this five-minute video: http://bit.ly/ePYpt0 Other non-R-related stories in the past month included: Heritage Health and Kaggle have launched a 2-year competition with $3.2M in prizemoney for predicting hospitalization from health data (http://bit.ly/eH29nJ) and flying by Saturn without CGI (http://bit.ly/hXzKvQ). On a lighter note, there also was: successively upgrading every version of Windows (http://bit.ly/fZqyik), and an equation for celebrity dating habits (http://bit.ly/i5EhJS). There are new R user groups (http://bit.ly/eC5YQe) in Orange County, CA (http://bit.ly/gEFJOr), Tallahassee, FL and Hobart, TAS (http://bit.ly/heHv3g). Meeting times for these groups 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/. 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). Cheers, # David -- David M Smith da...@revolutionanalytics.com VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (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: March Roundup
I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. (Sorry this week's roundup is a little later than usual -- I've was preempted by last week's release of REvolution R Community 3.2, and a webinar I'm giving tomorrow on parallel computing in R.) http://bit.ly/cvCFCE reviewed a special report in The Economist on the Data Deluge and the growing importance of statistical analysis in business. One section (http://bit.ly/brAsQm) mentioned R specifically. http://bit.ly/8XB5W0 announced that Zack Urlocker, formerly responsible for engineering and marketing for the open-source database company MySQL, has joined REvolution's board of directors. This article in InformationWeek (http://bit.ly/aeHDr3) provides more info about Zack's background and the parallels between MySQL and R. http://bit.ly/97Iz1B linked to an analysis using R on the official Google Blog on search traffic related to the Winter Olympics. http://bit.ly/9ocOva linked to the article, You Can Predict that R Will Succeed, published in Intelligent Enterprise. http://bit.ly/9aCLM9 is an essay by Norman Nie, CEO of REvolution, on how open-source software (especially R) is opening data to predictive analytics. http://bit.ly/cEEg0J linked to an intriguing cluster analysis and map of eating habits around the world. http://bit.ly/cqqOIf reviewed Frank Harrel's rrpeort package for clinical reporting from R via Sweave. http://bit.ly/daLeix linked to an analysis in R of rainfall in Australia over the past 100 years, and the impact of the 2000-2007 drought. http://bit.ly/9eSg6m linked to Tal Galili's chart in R on the value of vitamins and other nutritional supplements. http://bit.ly/bWiO6d provided a detailed review of Tim O'Reilly's thought-provoking keynote at the OSBC conference: he says open data is now more of an issue than open source. http://bit.ly/cJeJJw announced the webinar I'm giving April 14 on high-performance computing in R, and how to distribute computations on Windows HPC Server. http://bit.ly/9S1ctA linked to an application of R for tracking commits to a software project managed in SVN. http://bit.ly/cOUtmI relayed the news that R 2.11.0 will be released on April 22. http://bit.ly/9BDhH4 linked to video of a short course on graphics with R presented by ggplot2 author Hadley Wickham. http://bit.ly/c1dMPB linked to an article in Information Management about MARS analysis (from the earth package) in R. http://bit.ly/9sxzbr reviewed a popular article about how R was used to find predictors for the best pizza in New York City. http://bit.ly/bs4hXK looked at smoothing in R, and linked to a how-to guide to create presentation-quality smoothed charts. http://bit.ly/d2BLTd linked to an analysis of the ideological leanings of professions and companies, and a neat visualization of the results in ggplot2. Other non-R-specific posts in the past month covered: why a salad costs more than a Big Mac in the US (http://bit.ly/copBH0), visualizing the Pacific tsunami following the Chilean earthquake (http://bit.ly/dzNuSA), Edward Tufte at the White House (http://bit.ly/alPd1U), 3-D Mandelbrot sets (http://bit.ly/dAFh5w), the results of the Future of Open Source Survey (http://bit.ly/9TPdvT), the abuse of statistical methods in the science literature (http://bit.ly/cQVWxP) and (on a lighter note) Tufte vs Powerpoint vs kittens (http://bit.ly/bqfIvy). The R Community Calendar has also been updated at: http://blog.revolution-computing.com/calendar.html If you're looking for more articles about R, you can find summaries from previous months at http://bit.ly/dt1AZe . Join the REvolution mailing list at http://bit.ly/bOISmy 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...@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). Kind regards to all, # David Smith -- David M Smith da...@revolution-computing.com VP of Marketing, REvolution Computing http://blog.revolution-computing.com Tel: +1 (650) 330-0553 x205 (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.
