Introduction

A data-driven look at package loading annotations in R scripts, a fit-for-purpose package that makes a large contribution to the global R ecosystem, and a collection of amazing showcases of webR in action that is paving the way for continued innovation.

Episode Links

• This week's curator: Tony Elhabr - @TonyElHabr (Twitter) & @tonyelhabr@skrimmage.com (Mastodon)
• What are people commenting about their loaded packages?
• Introducing rtlr - an R Package for RTL Languages
• hrbrmstr's WebR Experiments Index
• Entire issue available at rweekly.org/2023-W15

Supplement Resources

• annotater: Annotate Package Load Calls https://github.com/luisDVA/annotater
• cld3: R wrapper to Google's Compact Language Detector 3 https://docs.ropensci.org/cld3/
• shiny.i18n: Shiny applications internationalization made easy https://appsilon.github.io/shiny.i18n/
• JavaScript for R https://book.javascript-for-r.com/
• Outstanding User Interfaces with Shiny https://unleash-shiny.rinterface.com/
• JavaScript for Data Science https://www.amazon.com/JavaScript-Data-Science-Chapman-Hall-ebook/dp/B084H2JXSY
• A Way Better Structured WebR Demo App https://rud.is/b/2023/03/12/almost-bare-bones-webr-starter-app/
• An example of using WebR with Lit components https://rud.is/w/lit-webr/
• WebR & Pyodide: Another WebR Experiment https://rud.is/w/webr-pyodide/
• An R template/tag function for WebR https://rud.is/w/r-template-tag-function/
• Monaco-powered WebR "REPL" https://rud.is/w/repl
• https://observablehq.com/@hrbrmstr/fiddling-with-r-universe-webr

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