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 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
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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 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
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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: 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
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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 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
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…
Ireland