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It's an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui's motivation for creating knitr and some key new features How markdown plays a key role in making reproducible research more accessible An innovative approach for publishing and maintaining reproducible statistical results online And much more on this “lucky” episode 13 of the R-Podcast! Episode 13 Show Notes Resources mentioned during interview with Yihui Yihui's GitHub page: github.com/yihui/knitr Yihui's blog: yihui.name ROxygen2 package for easy creating R package documentation Yihui's Rmini package on GitHub The knitr package home page and GitHub repository Using knitr and Sweave in Rstudio documentation The knitr mailing list and recent knitr questions on StackOverflow Vistat reproducible gallery of statistical graphics R Community Roundup R version 3.0.0 highlights as well as version 3.0.1 highlights Package pick Pandoc: Powerful and customizable document conversion How to interact with the show Submit your questions and comments via the R-Podcast contact page, or send an email to theRcast(at)gmail.com Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780 Get show updates via our Twitter account: @theRcast Follow us on our R-Podcast Google Plus page: gplus.to/thercast Provide your favorite R community links at the R-Podcast subreddit: links.r-podcast.org/ Music Credits The opening theme is entitled "Super Fighting Robot X" by WillRock from the Megaman X: Maverick Rising Album at ocremix.org The closing theme is entitled "Countdown to Infinity" by WillRock from the Megaman X: Maverick Rising Album at ocremix.org

This is not an April Fool's joke ... The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast! Episode 12 Show Notes The basics for version control and Git Why it's important: Backups and reproducibility Git is available for all major platforms, see GitHub page for installation instructions for all operating systems IDEs RStudio and Eclipse via Egit plugin offer integration of Git for easy usage Key commands: git init, git add file.R, git commit -m "my commit message" Tell Git what files you don't want to be tracked with .gitignore file(s) GitHub and BitBucket are two excellent remote repository host sites Wikipedia article on revision control Pro Git book, with electronic copy available for free! How do you combine revision control with workflow in R R and version control for the solo data analyst Jeremy Anglim's tutorial on Using Git, Egit, Eclipse, and GitHub for version control Win-Vector blog on minimal version control lesson Top 10 Git Tutorials for Beginners Aha moments when learning Git Listener Feedback Daniel provides link to Open Education Database: www.oedb.org/open StatisticsBlog: www.statisticsblog.com Aron: Big data and parallel processing Eric: Questions about data structures Adam: Text mining and workflow Randall offers first donation for the R-Podcast (thanks, Randall!) R Community Roundup Visualization of season performance of NCAA tournament teams by Rodrigo Zamith Plotting lm and glm models with ggplot via strengejacke.wordpress.com Package pick reports: An R package to assist in the workflow of writing academic articles and other reports (via TRinker's blog) How to interact with the show Submit your questions and comments via the R-Podcast contact page, or send an email to theRcast(at)gmail.com Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780 Get show updates via our Twitter account: @theRcast Follow us on our R-Podcast Google Plus page: gplus.to/thercast Provide your favorite R community links at the R-Podcast subreddit: links.r-podcast.org/ Music Credits The opening theme is entitled "Super Fighting Robot X" by WillRock from the Megaman X: Maverick Rising Album at ocremix.org The closing theme is entitled "Countdown to Infinity" by WillRock from the Megaman X: Maverick Rising Album at ocremix.org

Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode! The following resources are mentioned in this episode: R-Podcast subreddit: links.r-podcast.org Sweave: http://www.stat.uni-muenchen.de/~leisch/Sweave/ Knitr: http://yihui.name/knitr/ The Duke Research Trial Saga: http://simplystatistics.org/post/18378666076/the-duke-saga-starter-set RStudio Shiny web application: http://www.rstudio.com/shiny/ Listener Brock's NHL analysis blog: http://www.brocktibert.com/blog/?s=NHL Guide to installing latest version of R on Ubuntu: http://darrenjw.wordpress.com/2012/11/10/keeping-r-up-to-date-on-ubuntu-linux/ R 2.15.2 release notes: http://blog.revolutionanalytics.com/2012/10/r-2152-now-available.html Guide to new theme system in ggplot 0.9.2.1: https://github.com/wch/ggplot2/wiki/New-theme-system Plyr package: http://plyr.had.co.nz/ The opening theme is entitled "Super Fighting Robot X" by WillRock from the Megaman X: Maverick Rising Album at www.ocremix.org The closing theme is entitled "Countdown to Infinity" by WillRock from the Megaman X: Maverick Rising Album at www.ocremix.org Episode 11 Time Stamps 00:00 The R-Podcast #011 Reproducible Analysis Part 1 00:40 Introduction 02:43 Reproducible Research: Introduction 08:18 Sweave overview 16:20 Knitr overview 20:20 The Duke University Research Saga 30:56 What version control can offer 38:34 Presenting results 42:18 Listener feedback 60:55 R community roundup 69:39 Package pick: plyr 72:04 Wrapping up: subscribe at www.r-podcast.org, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast, Google Plus, links.r-podcast.org 77:21 End

I'm happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from hockey-reference.com for storage into a MySQL database. Our listener feedback segment contains another installment on the Pitfalls of R contributed by listener Frans. I want to thank everyone who has provided such positive feedback throughout the season, and I'm looking forward to providing some exciting new content for season 2. I hope you enjoy the episode and check out our new contact page if you would like to provide any feedback. Thanks for listening! The following resources are mentioned in this episode: New additions to the RStudio team: blog.rstudio.org/2012/08/20/welcome-hadley-winston-and-garrett/ Over 4,000 packages on CRAN: http://blog.revolutionanalytics.com/2012/08/two-r-community-milestones.html NHL Analysis web-scraping scripts on GitHub: https://github.com/thercast/nhl_analysis/tree/master/web-scraping XML package: http://cran.r-project.org/web/packages/XML/index.html RCurl package: http://cran.r-project.org/web/packages/RCurl/ Hockey-Reference data: http://www.hockey-reference.com Using R for Scraping Data Presentation at UseR! 2012: http://www.slideshare.net/rtelmore/user-2012-talk Using RMySQL tutorial: http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html Jeroen Ooms' lme4 web application: http://www.stat.ucla.edu/~jeroen/lme4.html Coursera Course on R: https://www.coursera.org/course/compdata RPubs: http://rpubs.com/ Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The closing theme is entitled "The Way" and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org Episode 10 Time Stamps 00:00 The R-Podcast #010 Adventures in Data Munging Part 2 00:33 Introduction 01:50 Wrapping up season 1 ... wait, what? 03:30 Rstudio team expands 05:41 R Community milestone 07:53 Discovering hockey-reference.com 10:54 Tips for readHTMLtable 21:10 Checking for valid data first 29:23 Minor processing needed 35:18 Saving data to MySQL database 45:26 Listener Feedback: Andrew 54:58 Frans: Pitfalls of R segment 2 63:40 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 69:14 End

It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also have an extended listener feedback segment with an audio installment of the “pitfalls” of R contributed by listener Frans. I hope you enjoy this episode and keep passing along your feedback to theRcast(at)gmail.com and stop by the forums as well! The following resources are mentioned in this episode: Summary of UserR! 2012 conference: http://pairach.com/2012/06/24/user2012/ R 2.15.1 release notes: http://cran.r-project.org/src/base/NEWS NHL Analysis GitHub Repo: https://github.com/thercast/nhl_analysis plyr package: http://plyr.had.co.nz/ car package: http://cran.r-project.org/web/packages/car/index.html ProjectTemplate: http://www.projecttemplate.net/ Hockey Summary Project: http://hsp.flyershistory.com/ Pitfalls of R blog post: http://pitfalls-r-us.blogspot.nl/2012/07/time-zones.html Episode 9 Time Stamps 00:00 The R-Podcast #009: Adventures in Data Munging Part 1 00:31 Introduction 01:38 Big news: +1 03:53 R 2.15.1 released 04:26 UseR! 2012 07:20 Hockey Summary Project 10:30 Dealing with empty files 15:18 Importing inconsistent data files 28:15 Recoding using car package 35:08 Useful functions for pinpointing issues 44:55 Listener Feedback 45:14 Daniel: Advice on data munging 55:01 Frans: Pitfalls of R 66:28 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast, Google Plus 71:22 End

I'm happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at +1-269-849-9780 or record an audio clip and send it to theRcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode! The following resources are mentioned in this episode: The Going Linux Podcast: http://www.goinglinux.com Hockey Summary Project: http://hsp.flyershistory.com/ Plot Code on GitHub: https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R The R Inferno: http://www.burns-stat.com/pages/Tutor/R_inferno.pdf Cookbook for R by Winston Chang: http://wiki.stdout.org/rcookbook ggplot2 0.90 Transition Guide: http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf ggplot2 online reference: http://had.co.nz/ggplot2/ ggplot2 GitHub wiki: https://github.com/hadley/ggplot2/wiki/ ggplot2 blog: http://blog.ggplot2.org/ ggplot2 mailing list: https://groups.google.com/forum/?fromgroups#!forum/ggplot2 Kaplan-Meier Survival Plot with ggplot2: http://mcfromnz.wordpress.com/2011/11/06/kaplan-meier-survival-plot-with-at-risk-table/ Learning R Series: http://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/ Code A La Mode ggplot2 articles: http://codealamode.blogspot.com/search/label/ggplot2 ggplot2 textbook by Hadley Wickham: http://tinyurl.com/ggplot2-book Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The closing theme is entitled "The Way" and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org Episode 8 Time Stamps 00:00 The R-Podcast #008 Visualization with ggplot2 00:34 Introduction 01:45 Thank you Going Linux 05:01 Listener feedback 14:14 ggplot2 background and philosophy 23:00 Description of data 30:20 Setting up our plot with ggplot function 38:15 Adding boxplot layer 44:31 Customizing appearance 60:35 Facet by era 67:02 Making code reproducible 73:03 Helpful ggplot2 resources 85:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 89:29 End

Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task and via the ProjectTemplate package, along with the importance of version control. Please check out the new forums and let me know what you think! If you are interested in providing a listener tip about R, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . As always I welcome any other feedback you have. Thanks for listening! P.S. From our Google Plus page, Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren! The following resources are mentioned in this episode: The new R-Podcast forums: http://www.r-podcast.org/forums/ RStudio v0.96 release notes: http://blog.rstudio.org/2012/05/14/rstudio-v096/ Cookbook for R by Winston Chang: http://wiki.stdout.org/rcookbook Stack Overflow post on workflow: http://stackoverflow.com/a/1434424/315664 ProjectTemplate package: http://www.projecttemplate.net/index.html RStudio Project feature: http://rstudio.org/docs/using/projects Version control in RStudio: http://rstudio.org/docs/version_control/overview Stack Overflow discussion on version control: http://stackoverflow.com/questions/2712421/r-and-version-control-for-the-solo-data-analyst Setting up Git: http://help.github.com/ Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The closing theme is entitled "The Way" and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org Episode 7 Time Stamps 00:00 The R-Podcast #007 Best Practices for Workflow Management 00:31 Introduction 01:07 No more TV recording for now 03:40 New forums! 08:25 RStudio update v0.96 12:50 Listener feedback 19:35 Using source(), save(), save.image(), and load() 25:00 load.R, clean.R, func.R, do.R 29:50 ProjectTemplate 40:06 Version Control with Git, RStudio 46:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 52:44 End

In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited text files using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from HTML tables, and files produced by other statistical computing packages. If you are interested in providing a listner tip about R in audio format, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode! The following resources are mentioned in this episode: R Data Import/Export Manual: http://cran.r-project.org/doc/manuals/R-data.html XLConnect Package: http://cran.r-project.org/web/packages/XLConnect/index.html XLConnect Website: http://miraisolutions.wordpress.com/2012/02/16/xlconnect-0-1-8/ RMySQL Package: http://cran.r-project.org/web/packages/RMySQL/ Accessing MySQL through R: http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html XML Package: http://cran.r-project.org/web/packages/XML/index.html foreign Package: http://cran.r-project.org/web/packages/foreign/index.html sas7bdat Package: http://cran.r-project.org/web/packages/sas7bdat/index.html sas7bdat on GitHub: https://github.com/biostatmatt/sas7bdat ESPN NHL playoff statistics table: http://espn.go.com/nhl/statistics/team/_/stat/scoring/year/2012/seasontype/3 MythTV: http://www.mythtv.org/ R script used in this episode: https://github.com/thercast/importing-data/blob/master/importing-data-basics.R Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org Episode 6 Time Stamps 00:00 The R-Podcast #006 Importing Data from External Sources 00:34 Introduction 01:46 Listener Feedback 07:45 Description of delimited text files 09:18 Using read.table and key arguments 18:17 R Data Import-Export Manual 19:10 Importing spreadsheet data considerations 21:10 XLConnect package advantages 25:20 Importing HTML tables using XML package 33:55 Using RMySQL with MySQL databases 43:52 Data from other statistical software 44:18 The foreign package 45:45 sas7bdat package 49:13 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780 53:54 End

After a brief delay here's episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages, installation procedures, and how to determine what packages are installed in your R system, among other considerations. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode! The following resources are mentioned in this episode: R version 2.15.0 release notes: http://cran.r-project.org/src/base/NEWS.html "R Fell on Alabama Last Night" presentation by Kent: https://www.youtube.com/watch?v=W8d54ThS37Q R script used in this episode: https://github.com/thercast/package_admin/blob/master/basic-package-management.R R packages included by default: http://cran.r-project.org/doc/manuals/R-FAQ.html#Which-add_002don-packages-exist-for-R_003f CRAN Task Views: http://cran.r-project.org/web/views/ R-Forge: https://r-forge.r-project.org RSeek: http://www.rseek.org Crantastic: http://www.crantastic.org unknownR R package list: http://unknownr.r-forge.r-project.org/toppkgs.html Rtools: http://cran.r-project.org/bin/windows/Rtools R Administration Manual-Updating packages: http://cran.r-project.org/doc/manuals/R-admin.html#Updating-packages Upgrading R on Windows and updating packages: http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/ UCLA R FAQ on managing packages: http://www.ats.ucla.edu/stat/r/faq/packages.htm Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org Episode 5 Time Stamps 00:00 The R-Podcast #005 Basic Package Management 00:32 Introduction 01:06 R 2.15.0 "Easter Beagle" released 02:01 Listener Feedback 09:02 What is a package? 12:00 Libraries 13:33 What packages do you have? 19:36 Finding packages 33:26 Installing packages 46:12 Using packages 51:08 Updating packages 58:12 Wrapping up: subscribe to the podcast, theRcast(at)gmail.com, + 1-269-849-9780 61:14 End

In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a +1-269-849-9780, or send an email or audio comment to theRcast[at]gmail.com. Thanks for listening! The following resources are mentioned in this episode: Our Google Plus page: http://goplus.us/rpodcast R Twotorials: http://www.twotorials.com Stats Makes Me Cry: http://www.statsmakemecry.com RSeek: http://www.rseek.org R Reference Card: http://cran.r-project.org/doc/contrib/Short-refcard.pdf R script used in this episode: https://github.com/thercast/data-structures/blob/master/data-structures-introduction.R Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org Episode 4 Time Stamps 00:00 The R-Podcast #004 Data Structures-Introduction 00:31 Introduction 01:56 Google Plus info 03:10 Other screencasts about R 05:23 Listener Feedback 08:57 Data Structures 10:40 Vectors 18:30 Matrices 24:17 Lists 31:30 Data Frames 41:36 R Reference Card 43:52 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 49:26 End

In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a companion screencast to accompany this episode which will be posted shortly. As always, please provide your feedback via email or audio comment to theRcast@gmail.com or leave us a voicemail at +1-269-849-9780. The following resources are mentioned in this episode: R version 2.14.2 release notes: https://stat.ethz.ch/pipermail/r-announce/2012/000550.html New features in ggplot2 0.90: http://blog.revolutionanalytics.com/2012/03/new-data-visualization-features-in-ggplot2-update.html Tip on starting R GUI on Linux: R --gui tk R script used in this episode: https://github.com/thercast/basic-interaction-with-R/blob/master/basic-session-code.R Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org Episode 3 Time Stamps 00:00 The R-Podcast #001 Introduction 00:00 The R-Podcast #003 Getting Ready to Use R 00:31 Introduction 01:17 New versions of R and ggplot2 03:17 Code on GitHub Repository 05:36 Screencast information 08:09 Listener Feedback 16:18 Basic Interaction with R 16:40 The R Console 19:51 Example R script file 55:20 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780 61:11 End

In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback, please send an email or audio comment to theRcast@gmail.com or leave us a voicemail at +1-269-849-9780. The following resources are mentioned in this episode: The R-Project site: http://www.r-project.org/ RStudio: www.rstudio.org Emacs + ESS: http://ess.r-project.org/ Eclipse + StatET: http://www.eclipse.org/ and http://www.walware.de/goto/statet R-Resources page: http://www.r-podcast.org/r-resources/ Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org Episode 2 Time Stamps 00:00 The R-Podcast #002 Getting Ready to Use R 00:31 Introduction 01:09 Site Updates 03:40 Listener Feedback 07:02 Downloading and Installing R 17:34 R IDEs 26:00 Additional Resources at r-podcast.org/r-resources 27:40 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780 31:34 End

Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R's history of development and features that distinguish it from other statistical software. Please feel free to send your feedback to theRcast@gmail.com or leave a voice mail at +1-269-849-9780. The following resources are mentioned in this episode: The R-Project site: http://www.r-project.org/ Wikipedia page for R: http://en.wikipedia.org/wiki/R_%28programming_language%29 Draft of manuscript "R: Past and Future History" by Ross Ihaka: http://cran.r-project.org/doc/html/interface98-paper/paper.html The R Project: A Brief History and Thoughts About the Future by Ross Ihaka (Massey University 2009): http://www.stat.auckland.ac.nz/%7Eihaka/downloads/Massey.pdf History of S and R presentation by John Chambers at useR! 2006: http://www.r-project.org/user-2006/Slides/Chambers.pdf Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org Episode 1 Time Stamps 00:00 The R-Podcast #001 Introduction 00:31 Introduction 01:31 About me 05:00 Goals of the R-Podcast 08:01 What is R? 12:22 Why I am a fan of R 16:50 History of R development 24:25 About the r-podcast.org site 25:54 How to subscribe 27:34 Feedback: theRcast@gmail.com, + 1-269-849-9780 30:52 End