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.
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!
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
tidymodelsecosystem of modeling packages, lessons learned from continued development of the
caretpackage, 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!
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!
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.
March 22nd, 2018 | 54 mins 38 secs
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!
February 15th, 2018 | 44 mins 40 secs
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!
March 26th, 2017 | 1 hr 17 mins
In this episode of the R-Podcast I have a convers…
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…
January 12th, 2017 | 1 hr 9 mins
The R-Podcast has landed in Orlando for the first…
February 22nd, 2016 | 1 hr 19 mins
The R-Podcast concludes its series on the Shiny D…
February 4th, 2016 | 37 mins 19 secs
The R-Podcast continues its series on Shiny and t…
January 31st, 2016 | 40 mins 58 secs
Direct from the first-ever Shiny Developer confer…
January 31st, 2016 | 50 mins 51 secs
Just in time for the new year is a new episode of…
January 31st, 2016 | 1 hr 1 min
The R-Podcast is back up and running! In this epi…