The R-Podcast

Giving practical advice on how to use R for powerful and innovative data analyses

About the show

R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS and want to learn R, or getting into statistical computing for the first time, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R. Our intent is to start with the basic concepts that can be a struggle for those new to R and statistical computing. We will give practical advice on how to take advantage of R’s capabilities to accomplish innovative and robust data analyses. Along the way we will highlight the additional tools and packages that greatly enhance the experience of using R, and highlight resources that can help people become experts with R. While this podcast is not meant to be a series of lectures on statistics, we will use freely and publicly available data sets to illustrate both basic statistical analyses as well as state-of-the-art algorithms to show how powerful and robust R can be for analyzing today’s explosion of data. In addition to the audio podcast, we will also produce screencasts for hands-on demonstrations for those topics that are best explained via video.

The R-Podcast on social media

Episodes

  • Data Science education with R

    August 3rd, 2019  |  1 hr 7 mins

    The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio's education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers.

  • The origins and future of RStudio with Tareef Kawaf

    May 10th, 2019  |  53 mins 24 secs

    It's common knowledge that R has been at the forefront of leading innovation in statistics and data science. But one area that's not commonly discussed is how to build a successful business around R and open-source? In episode 30 of the R-Podcast, I am very excited to be joined by RStudio president Tareef Kawaf! We cover a wide variety of topics including his journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio's vision for the present and future. Plus you'll hear how Tareef became the 'T-Test' within RStudio and how he earned the moniker of Mr. Shiny!

  • Chicago R Unconference Recap

    March 23rd, 2019  |  57 mins 59 secs

    I am delighted to bring your coverage of the first-ever Chicago R Unconference in episode 29 of the R-Podcast! I share perspectives on many of the great projects addressed in this unconference, ranging from new metrics on machine text translations to an entire unconference toolbox. Be sure to check the extensive show notes for links to these projects. Plus the return of highlights from the R community, including two newly-funded R Consortium projects. Thank you for listening and I hope you enjoy this episode!

  • Tidymodels with Max Kuhn

    February 27th, 2019  |  1 hr 6 mins

    The R-Podcast's coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the tidymodels ecosystem of modeling packages, lessons learned from continued development of the caret package, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!

  • Get the {gt} Tables!

    February 11th, 2019  |  50 mins 25 secs

    The R-Podcast rolls along with part two of our rstudio::conf 2019 coverage! In this episode I share the advice and tips I used to prepare my talk on Shiny Modules. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!

  • The Podcast Trifecta (rstudio::conf 2019)

    January 23rd, 2019  |  41 mins 6 secs

    In this special episode, coverage of rstudio::conf 2019 begins with a three-podcast crossover! Eric is joined by podcast hosts Hilary Parker (Not So Standard Deviations) and Nick Tierney (Credibly Curious) to discuss their impressions of the conference and thoughts on the future of R. Plus Eric shares his insights from the excellent Advanced R Markdown workshop.

  • Episode 25: Interview with Ian Lyttle

    March 22nd, 2018  |  54 mins 38 secs
    github, rstudio

    Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of working with enterprise GitHub installations. I also discuss my key insights and takeaways from the extending tidyverse training and talks I attended. I hope you enjoy this jam-packed episode of the R-Podcast!

  • Yihui Xie Returns (rstudio::conf 2018)

    February 15th, 2018  |  44 mins 40 secs
    r
  • Episode 23: rstudio::conf 2018 Chats with Romain Francois and Thomas Lin Pedersen

    February 3rd, 2018  |  53 mins 35 secs
    data science, r

    The R-Podcast's coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You'll hear Romain's thoughts on the growth of Rcpp and the project that helped him become closer to the R community. We also learn about Thomas' journey to enhancing ggplot2 and the new packages he's developed covering network analyses and dynamic APIs from R. I hope you enjoy episode 23 of the R-Podcast!

  • Episode 22: Episode 22: Diving in to drake with Will Landau

    March 26th, 2017  |  1 hr 17 mins

    In this episode of the R-Podcast I have a convers…

  • Episode 21: Episode 21: Talking Rcpp and more with Dirk Eddelbuettel

    February 9th, 2017  |  40 mins

    The R-Podcast concludes its coverage of rstudio::…

  • Episode 20: Episode 20 - More interviews from rstudio::conf with Javier Luraschi and Garrett Grolemund

    January 28th, 2017  |  29 mins 59 secs

    In episode 20 I'm happy to bring you more great i…

  • Episode 19: Episode 19: Talking Shiny at RStudio Conf with Barbara Borgis and Dean Attali

    January 12th, 2017  |  1 hr 9 mins

    The R-Podcast has landed in Orlando for the first…

  • Episode 18: Episode 18: Interviews with the RStudio Team

    February 22nd, 2016  |  1 hr 19 mins

    The R-Podcast concludes its series on the Shiny D…

  • Episode 17: Episode 17 - A Simply Radiant Chat with Vincent Nijs

    February 4th, 2016  |  37 mins 19 secs

    The R-Podcast continues its series on Shiny and t…

  • Episode 16: Episode 16: Interview with Dean Attali

    January 31st, 2016  |  40 mins 58 secs

    Direct from the first-ever Shiny Developer confer…