PODCAST · education
The R-Podcast
by Eric Nantz
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…
Episodes
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Episode 34: Enriching the Next Generation of R-Core Development
The R-Podcast has risen again! After sharing the story of my R adventures since the last episode, we focus on a very important initiative that could pave the way for the next generation of developers contributing to the future of R itself. I am joined by research software engineer Heather Turner...
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The Podcast Lives Again
I take a quick minute to announce that the R-Podcast is coming back! And to check that the feeds are still working ...
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Shiny and Javascript Wizardry with Garrick Aiden-Buie
About this Episode This is the second of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares the backstory behind his Shiny Community e-poster and welcomes data scientist Garrick Aiden-Buie to discuss his spectacular JavaScript for Shiny Users course, the...
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RStudio's Big Move & Kevin Ushey
About this Episode This is the first of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares his take on the big news made by RStudio and has a great interview with RStudio software engineer Kevin Ushey. Links RStudio becomes a Public Benefit Corporation:...
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Data Science education with R
About this Episode In this episode, Eric shares insights gained from the JSM 2019 conference, including an excellent panel discussion on the use of javascript in statistics. In addition, Eric is joined by RStudio's education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas…
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The origins and future of RStudio with Tareef Kawaf
About this Episode Eric is joined by RStudio's president Tareef Kawaf and they cover a wide variety of topics including Tareef's journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio's vision for the present and future. Episode Shownotes RStudio…
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Chicago R Unconference Recap
Chicago R Unconference Unconf website: [https://chirunconf.github.io/](chirunconf.github.io/) Issue board: github.com/chirunconf/chirunconf19/issues #chirunconf (Sharla Gelfand): sharla.party/posts/chirunconf/ Discover and share your supeR powers (Mauro Lepore):...
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Tidymodels with Max Kuhn
Conversation with Max Kuhn Tidy models: github.com/tidymodels parsnip - A tidy interface to models: tidymodels.github.io/parsnip/ caret package: topepo.github.io/caret/index.html Conventions for R Modeling Packages: tidymodels.github.io/model-implementation-principles/ Additional rstudio::conf…
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Get the {gt} Tables!
In this episode I share the advice and tips I used to prepare my talk on Shiny Modules at rstudio::conf 2019. 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...
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The Podcast Trifecta (rstudio::conf 2019)
Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations co-host Hilary Parker! We discuss our impressions of the...
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Episode 25: Interview with Ian Lyttle
Conversation with Ian Lyttle Twitter: @ijlyttle | Github: github.com/ijlyttle Ian's presentation at rstudio::conf 2018 recording: www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/ bsplus package: ijlyttle.github.io/bsplus/ shinychord package:...
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Yihui Xie Returns (rstudio::conf 2018)
Our coverage of rstudio::conf 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you'll hear about Yihui's journey since joining RStudio, his vision of how blogdown and bookdown could lead to a…
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Episode 23: rstudio::conf 2018 Chats with Romain Francois and Thomas Lin Pedersen
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…
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Episode 22: Episode 22: Diving in to drake with Will Landau
In this episode of the R-Podcast I have a conversation with my colleague Will Landau about his new R package drake that provides a powerful build system for analysis pipelines. In addition we have a fun R community roundup, listener feedback, and a couple of package picks to give you a gentle nod...
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Episode 21: Episode 21: Talking Rcpp and more with Dirk Eddelbuettel
The R-Podcast concludes its coverage of rstudio::conf by chatting with R Foundation member and Rcpp author Dirk Eddelbuettel! We cover a variety of topics including the state of Rcpp, how the integration of Rcpp in RStudio came about, and his perspective on Linux in the R community. Plus a new...
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Episode 20: Episode 20 - More interviews from rstudio::conf with Javier Luraschi and Garrett Grolemund
In episode 20 I'm happy to bring you more great interviews with members of RStudio from rstudio::conf! I had the pleasure of chatting with software engineer Javier Luraschi to discuss Apache Spark and the new sparklyr package that allows R users to connect directly to a Spark cluster for...
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Episode 19: Episode 19: Talking Shiny at RStudio Conf with Barbara Borgis and Dean Attali
The R-Podcast has landed in Orlando for the first ever rstudio::conf! Our coverage begins with two excellent interviews: First I talk with Bárbara Borges Ribeiro, software engineer at RStudio about her journey to using R and her advice for developing Shiny apps. Then Dean Attali makes his return…
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Episode 18: Episode 18: Interviews with the RStudio Team
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...
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Episode 17: Episode 17 - A Simply Radiant Chat with Vincent Nijs
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...
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Episode 16: Episode 16: Interview with Dean Attali
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…
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Episode 15: Episode 15: Introduction to Shiny
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...
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Episode 14: Episode 14: Tips and Tricks for using R-Markdown
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…
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Episode 13: Episode 13: Interview with Yihui Xie
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...
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Episode 12: Episode 12: Using Version Control with R
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...
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Episode 11: Episode 11: Reproducible Analysis Part 1
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...
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Episode 10: Episode 10: Adventures in Data Munging Part 2
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...
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Episode 9: Episode 9: Adventures in Data Munging Part 1
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…
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Episode 8: Episode 8: Visualization with ggplot2
I'm happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL...
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Episode 7: Episode 7: Best Practices for Workflow Management
Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize...
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Episode 6: Episode 6: Importing Data from External Sources
In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited text files using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from...
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Episode 5: Episode 5: Basic Package Management
After a brief delay here's episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages, installation procedures, and how to determine what packages are installed in your R system,...
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Episode 4: Episode 4: Data Structures - Introduction
In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for...
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Episode 3: Episode 3: Basic Interaction with R
In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details.
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Episode 2: Episode 2: Getting Ready to Use R
In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R.
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Episode 1: Introduction
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.
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ABOUT THIS 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…
HOSTED BY
Eric Nantz
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Frequently Asked Questions
How many episodes does The R-Podcast have?
The R-Podcast currently has 35 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is The R-Podcast about?
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...
How often does The R-Podcast release new episodes?
The R-Podcast has 35 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to The R-Podcast?
You can listen to The R-Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts The R-Podcast?
The R-Podcast is created and hosted by Eric Nantz.
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