The R-Podcast

The R-Podcast concludes its series on the Shiny Developer Conference with a jam-packed episode featuring two interviews with members of the RStudio team! In part one I have a panel discussion with JJ Allaire, Jeff Allen, and Hadley Wickham to get their impressions of the conference and some exciting new features in the latest version of the RStudio IDE. In part two I have an extended conversation with Joe Cheng to discuss the origins of Shiny, how the conference came together, and ideas for future enhancements of shiny. All of this and more on episode 18 of the R-Podcast!

The R-Podcast continues its series on Shiny and the first-ever Shiny Developer Conference by catching up with Vincent Nijs, associate professor of marketing at UC San Diego and one of the earliest adopters of Shiny. Some of the topics we cover include his journey to using R, his motivation and process for developing the Radiant Shiny application used by his students to perform business analytics, and how he would like to involve the community to add new capabilities to Radiant. I hope you enjoy this episode and thanks for listening!

Direct from the first-ever Shiny Developer conference, here is episode 16 of the R-Podcast! In this episode I sit down with Dean Attali for an engaging conversation about his journey to using R, his motivation for creating the innovative shinyjs package, and his perspective on teaching others about R through his support of the innovative and highly-praised Stats 545 course at UBC. In addition you'll hear about how his previous work prepared him well for using R, his collaboration with the RStudio team, and much more. I hope you enjoy this episode and thanks for listening!

Just in time for the new year is a new episode of the R-Podcast! I give a brief introduction to the Shiny package for creating web applications using R code, provide some of my tips and tricks I have learned (sometimes the hard way) when creating applications, and point to excellent resources and example apps in the community that show the immense potential at your fingertips. You will see that r-podcast.org has gotten a major overhaul, and as a consequence the RSS feeds have changed slightly. Be sure to check out the Subscribe page for the updated feeds, but all of the previous episodes have been migrated successfully. As always you can provide your feedback in multiple ways:

Happy New Year and I hope you enjoy the episode!

The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across many industries. A big thank you to all who expressed their support during the extended hiatus, and please don't hesitate to provide your feedback and suggestions for future episodes. I hope you enjoy this episode!

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:

And much more on this “lucky” episode 13 of the R-Podcast!

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.

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!

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!

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!