(This article was first published on

**The R-Podcast**, and kindly contributed to R-bloggers)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 [email protected] 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: [email protected], + 1-269-849-9780 30:52 End

To

**leave a comment**for the author, please follow the link and comment on their blog:**The R-Podcast**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...