Latest Episode

Episode 33 of the R-Podcast continues our coverage of rstudio::conf 2020! I share my experiences from my e-poster presentation about the Shiny community, and have a great conversation with the very talented Garrick Aiden-Buie! We discuss his spectacular JavaScript for Shiny Users course, the mind-blowing features of the package accompanying the course, and much more. Plus I share my takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback. I hope you enjoy this episode! Read More

Episode 17: A Simply Radiant Chat with Vincent Nijs

Posted on Thursday, Feb 4, 2016

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!

Episode 16: Interview with Dean Attali

Posted on Saturday, Jan 30, 2016

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!

Episode 15: Introduction to Shiny

Posted on Thursday, Dec 31, 2015

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:

* New Feature: Provide a comment on this episode post directly (powered by the Disqus commenting system)
* Email the show at thercast[at]gmail.com
* Use the new Contact Form directly on the site.
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Episode 14: Tips and Tricks for using R-Markdown

Posted on Wednesday, Nov 18, 2015

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!

Episode 13: Interview with Yihui Xie

Posted on Thursday, May 23, 2013

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, and an innovative approach for publishing and maintaining reproducible statistical results online, and much more on this ‘lucky’ episode 13 of the R-Podcast!