608: R With Eric Nantz


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Feb 24 2025 55 mins   285

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Rust in the Linux Kernel.



R Stuff

What is R Again?

Great presentation by John Chambers at UseR! 2006 https://www.r-project.org/conferences/useR-2006/Slides/Chambers.pdf

The times have changed, now R is very much suited for production use and not just an academic research language

Highly recommend reading Advanced R for more comprehensive details on the quirks of the language https://adv-r.hadley.nz/index.html

R VS Python for Data?

Different philosophies on the use of the language

CRAN vs PyPi

Interoperability becoming more mainstream now

Visualization: R has always been leaps and bounds ahead (Grammar of Graphics, interactive widgets, etc)

R Dev Stack?

IDEs: RStudio, now Positron https://positron.posit.co/

Managing package installations with renv https://rstudio.github.io/renv/

Building web apps with Shiny: https://shiny.posit.co/ (I got so engrossed in this space that I created the Shiny Developer Series because of it)

Early adopter of using Docker with R in devcontainers with VS-Code.

New tech I’m excited about to enhance dev stacks and sharing apps

WebAssembly with webR https://docs.r-wasm.org/webr/latest/

Shiny apps in webR? Yes you can https://github.com/RConsortium/submissions-pilot4-webR

Managing dev environment combined with Nix: The rix package https://github.com/ropensci/rix



(More organized links for show notes)



R Language: https://r-project.org

Posit (formerly RStudio): https://posit.co

RStudio IDE https://posit.co/products/open-source/rstudio/

Positron (still in beta): https://positron.posit.co/

History of S and R presentation by John Chambers at useR! 2006: http://www.r-project.org/user-2006/Slides/Chambers.pdf

Advanced R (2nd edition) by Hadley Wickham https://adv-r.hadley.nz/index.html

Shiny - Easy interactive web applications with R: https://shiny.posit.co/

renv - Project environments for R: https://rstudio.github.io/renv/

R Markdown: https://rmarkdown.rstudio.com/

WebR - R in the browser: https://docs.r-wasm.org/webr/latest/

Rix - Reproducible Data Science environments for R with Nix: https://github.com/ropensci/rix



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Mike’s Review

Eric’s Thoughts

Eric's Socials

R Weekly Highlights: https://serve.podhome.fm/r-weekly-highlights

Shiny Developer Series: https://shinydevseries.com/

R Podcast: https://r-podcast.org



Bluesky: @[email protected]

Mastodon: @[email protected]

LinkedIn: https://www.linkedin.com/in/eric-nantz-6621617/



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