35 episodes

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 Eric Nantz

    • Education
    • 4.9 • 34 Ratings

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.

    Enriching the Next Generation of R-Core Development

    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 and statistician Saranjeet Kaur Bhogal to share the story of how the new R Development Guide brings a new and accessible approach for learning how to contribute to the R project itself, along with their vision of the upcoming Collaborative Campfires to inspire and grow the community around this imporant effort.


    Links


    Update on the RWeekly and 2021 Reflections: https://rweekly.fireside.fm/70
    Collaboration Campfires: contributor.r-project.org/events/collaboration-campfires
    R Contribution Working Group: contributor.r-project.org/working-group
    R Development Guide: contributor.r-project.org/rdevguide/
    Digital Infrastructure Icubator: incubator.codeforscience.org/cohort


    Feedback


    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page: https://r-podcast.org/contact

    • 41 min
    The Podcast Lives Again

    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 ...

    • 52 sec
    Shiny and Javascript Wizardry with Garrick Aiden-Buie

    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 mind-blowing features of the package accompanying the course, and much more. Plus takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback.


    Links


    rstudio::conf(2020L) recordings: resources.rstudio.com/rstudio-conf-2020
    Reaping the benfits of the Shiny community e-poster: rpodcast.shinyapps.io/highlights-shiny
    Poster source code: github.com/rpodcast/highlights.shiny
    Javascript for Shiny Users: js4shiny.com/
    Garrick's GitHub: github.com/gadenbuie
    js4shiny package: pkg.js4shiny.com/
    Styling Shiny apps with Sass and Bootstrap 4 (Joe Cheng): resources.rstudio.com/rstudio-conf-2020/styling-shiny-apps-with-sass-and-bootstrap-4-joe-cheng
    Reproducible Shiny apps with shinymeta (Carson Sievert): resources.rstudio.com/rstudio-conf-2020/reproducible-shiny-apps-with-shinymeta-dr-carson-sievert
    Getting things logged (Gergely Daroczi): resources.rstudio.com/rstudio-conf-2020/getting-things-logged-gergely-daroczi
    Listener Ricardo's R & tidyverse tutorial: predictcrypto.org/tutorials
    xaringan package's infinite moon reader: [https://bookdown.org/yihui/rmarkdown/xaringan-preview.html](bookdown.org/yihui/rmarkdown/xaringan-preview.html)
    My appearance on Michael Dominick Show: https://www.automator.show/8
    NSSD 101 interview with JJ Allaire: nssdeviations.com/101-special-guest-jj-allaire


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page


    Episode Timestamps

    00:00:00.000 Intro
    00:01:48.000 Shiny community e-poster
    00:20:12.000 Garrick Aiden-Buie
    00:38:10.000 Styling Shiny apps
    00:40:56.000 Shinymeta
    00:44:20.000 logger
    00:49:49.000 listener feedback
    00:57:25.000 Wrapup


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 58 min
    RStudio's Big Move & Kevin Ushey

    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: blog.rstudio.com/2020/01/29/rstudio-pbc
    RStudio changes structure to focus on public benefit: www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html
    JJ Allaire's keynote slides: rstudio.com/slides/rstudio-pbc/
    A corporate paradign shift - Public Benefit Corporations [https://www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations/](www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations)
    renv: Project Environments for R kevinushey-2020-rstudio-conf.netlify.com/slides.html
    renv GitHub repository: github.com/rstudio/renv
    Emil Hvitfeldt's repository with rstudio::conf links to slides and other materials: github.com/EmilHvitfeldt/RStudioConf2020Slides
    Residual Snippets app: rpodcast.shinyapps.io/rsnippets


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page


    Episode Timestamps

    00:00:00.000 Intro
    00:01:25.000 RStudio PBC
    00:14:50.000 RWeekly Curators Unite!
    00:18:45.000 RStudio's Kevin Ushey
    00:42:26.000 Residual Snippets
    00:47:52.000 Wrapup


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 49 min
    Data Science education with R

    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 for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers.


    Episode Shownotes


    Why Javascript? JSM panel discussion:


    Karl Broman's slides
    Carson Sievert's slides

    Data Science in a Box: datasciencebox.org
    RStudio Learner Personas: rstudio-education.github.io/learner-personas
    Advanced R-Markdown workshop from rstudio::conf 2019: arm.rbind.io/
    learnr - Interactive tutorials in R: rstudio.github.io/learnr
    Project Kickstart-R - Create a project/team website and knowledge sharing platform with R-Markdown: github.com/sourcethemes/project-kickstart-r
    lullabyr - Generate children's songs with random words: github.com/mine-cetinkaya-rundel/lullabyr


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page


    Episode Timestamps

    00:00:00.000 Intro
    00:01:22.000 JSM Memories
    00:07:16.000 Why Javascript recap
    00:13:04.000 Shinymeta advice
    00:19:54.000 Conversation with Alison & Mine
    01:01:50.000 Takeaways & Wrapup


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 1 hr 7 min
    The origins and future of RStudio with Tareef Kawaf

    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 1.2 release highlights: blog.rstudio.com/2019/04/30/rstudio-1-2-release
    Tareef's opening keynote at rstudio::conf 2019: Welcome and RStudio Vision
    Reproducible Environments: environments.rstudio.com
    RStudio Community: community.rstudio.com
    RStudio Cloud (currently in alpha): rstudio.cloud
    Introducing RStudio Team: blog.rstudio.com/2019/05/09/introducing-rstudio-team


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page
    Get in touch on Twitter: @theRcast


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 53 min

Customer Reviews

4.9 out of 5
34 Ratings

34 Ratings

Ben Riedle ,

Great podcast!

Thanks for an awesome podcast that helps keep us up-to-date on new R and RStudio happenings. I am sure creating these podcasts takes a considerable amount of effort, so just wanted to say thanks for all the hard work! The podcast is a great way to learn and is much appreciated.

Jake pod dog ,

Good

I like the host and enjoy listening to this podcast.

TomAmes ,

Good podcast that would benefit from some editing

The host has some keen observations and insights, but could stand to cut a fair bit of material that distracts from his core content. It's really not useful to rehash one's self-doubt about an invited talk, or to emphasize multiple times how gratified one is to have been accepted as the TA for a course. I'm less interested in the personal journey, and more interested in the actual content.

(I will say though that the interview with Yihui Xie was amazing for what it was able to elicit.)

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