R Weekly Highlights

How to easily create interactive versions of your favorite ggplots with ggiraph, bringing AutoML to R with forester, and a head-to-head comparison of R and Excel for common data wrangling and summaries. Episode Links This week's curator: Colin Fay - [@_ColinFay]](https://twitter.com/_ColinFay) (Twitter) Creating interactive visualizations with {ggiraph} (with or without Shiny) forester: what makes the package special? Why should I use R: The Excel R Data Wrangling comparison: Part 1 Entire issue available at rweekly.org/2023-W09 Supplement Resources ggiraph online book https://www.ardata.fr/ggiraph-book {openxlsx2} read, write, and modify xlsx files https://janmarvin.github.io/openxlsx2 Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

The current state and future of {rtweet}, bringing the best of testing and CI/CD in a statistical package, and navigating through a Shiny maze (literally). Episode Links This week's curator: Eric Nantz - @theRcast (Twitter) & @rpodcast@podcastindex.social (Mastodon) rtweet future Ensuring & Showcasing the Statistical Correctness of your R Package Shiny Monster Maze Entire issue available at rweekly.org/2023-W08 Supplement Resources Lluis Revilla's call for a co-maintainer of {rtweet} https://github.com/ropensci/rtweet/issues/763 Denis Pushkarev's post on the current state of core-js: https://github.com/zloirock/core-js/blob/master/docs/2023-02-14-so-whats-next.md {mmrm} Mixed models for repeated measures in R: https://openpharma.github.io/mmrm/latest-tag/ Shiny Monster Maze blog post: https://www.bitfoam.com/post/2023-01-24-shiny-monster-maze/ Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue Support creators with boostagrams using Podverse and Alby: https://blog.podverse.fm/support-creators-with-boostagrams-and-streaming-sats-using-podverse-and-alby/ A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

A glimpse into the day-to-day of maintaining an R package, exploring gender effects in art history data with the power of resampling, and a huge win for accessible SVG plots with R-Markdown. Episode Links This week's curator: Jon Carroll - @carroll_jono (Twitter) & @jonocarroll@fosstodon.org (Mastodon) What Does It Mean to Maintain a Package? Resampling to understand gender in #TidyTuesday art history data Manipulate SVG Plots with JavaScript in R Markdown Entire issue available at rweekly.org/2023-W07 Supplement Resources Bootstrap resampling and tidy regression models https://www.tidymodels.org/learn/statistics/bootstrap/ Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages (JooYoung Seo from rstudio::global(2021)) https://www.rstudio.com/resources/rstudioglobal-2021/accessible-data-science-beyond-visual-models-non-visual-interactions-with-r-and-rstudio-packages Eric's adventures with Shiny modules and SVG interactions https://community.rstudio.com/t/passing-module-namespace-to-embedded-javascript-function/26988 Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue Support creators with boostagrams using Podverse and Alby: https://blog.podverse.fm/support-creators-with-boostagrams-and-streaming-sats-using-podverse-and-alby/ A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

Just how far back can we turn back time with an R installation, many enhancements to joining data sets in dplyr 1.1.0, and a retrospective on the 2022 thirty-day map challenge. Episode Links This week's curator: Tony Elhabr - @TonyElHabr (Twitter) & @tonyelhabr@skrimmage.com (Mastodon) Postmortem of my #30DayMapChallenge 2022 The oldest R version one can still run today dplyr 1.1.0: Joins Entire issue available at rweekly.org/2023-W06 Supplement Resources Replicating "Zoom to selected features" function in ArcGIS / QGIS with R shiny https://khwongk12.medium.com/replicating-zoom-to-selected-features-function-in-arcgis-qgis-with-r-shiny-652b6c714e6f Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue Guide to sending boostagrams in Podverse: https://blog.podverse.fm/support-creators-with-boostagrams-and-streaming-sats-using-podverse-and-alby/ A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

How you can make R package testing a little easier with switches, how the combination of group processing and compute resources can level up geospatial data processing, and a few quick wins to improve the responsiveness of your Shiny apps that got your podcast hosts to think hard about previous design choices! Episode Links This week's curator: Jon Calder (@jonmcalder) (Twitter) A testing pattern: adding switches to your code Geospatial distributed processing with furrr Improving the responsiveness of Shiny applications Entire issue available at rweekly.org/2023-W05 Supplement Resources Preventative Care for R Packages Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

A large helping of football data for your analytics with the englishfootball package, building a Shiny application with both R and python, and a first look at upcoming conferences this year. Episode Links This week's curator: Ryo Nakagawara - @R_by_Ryo) (Twitter) & @R_by_Ryo@mstdn.social (Mastodon) englishfootball: A Comprehensive Database on the Premier League and the English Football League (1888-2022) Seeing double? Building the same app in Shiny for R and Shiny for Python Some R Conferences for 2023 Entire issue available at rweekly.org/2023-W03 Supplement Resources {worldcup} A Comprehensive Database on the FIFA World Cup https://github.com/jfjelstul/worldcup Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

A glimpse into the world of end-to-end Shiny app testing with shinytest2, and an important look at the spectrum of reproducibility within R using container technology and services. Episode Links This week's curator: Batool Almarzouq - @batool664 (Twitter) End-to-end testing with shinytest2 Part 2 MRAN is getting shutdown - what else is there for reproducibility with R, or why reproducibility is on a continuum? Entire issue available at rweekly.org/2023-W02 Supplement Resources {leprechaun}: Code generator for lean and robust Shiny applications https://leprechaun.opifex.org Bruno's excitement for our episode on Twitter and Mastodon Looking to the future for R in Azure SQL and SQL Server https://cloudblogs.microsoft.com/sqlserver/2021/06/30/looking-to-the-future-for-r-in-azure-sql-and-sql-server/ {groundhog} Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages https://groundhogr.com Toward practical transparent verifiable and long-term reproducible research using Guix: https://www.nature.com/articles/s41597-022-01720-9#Abs1 {scenes} demo app Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

A big progress updates in the latest {knitr} development release (literally), how the {litr} package enables literate programming development for R packages, and how you can translate Morse code directly in R with the {remorse} package! Episode Links This week's curator: Sam Parmar - @parmsam_ (Twitter) & @parmsam@fosstodon.org (Mastodon) An Upcoming Clean Progress Bar in knitr litr: Write an R Package Entirely with an R Markdown Document .-././--/---/.-./.../. Entire issue available at rweekly.org/2023-W01 Supplement Resources Rethink the progress bar issue https://github.com/yihui/knitr/issues/1880 {fusen} R package https://thinkr-open.github.io/fusen Tutorial {packagefinder} https://github.com/jsugarelli/packagefinder What is Morse code? https://web.northeastern.edu/stemout/morse-code Our very important message to the audience: -/./.-../.-.. -.--/---/..-/.-. ..-./.-./.././-./-../... .-/-.../---/..-/- -/..../. .-. .--/././-.-/.-../-.-- ..../../--./..../.-../../--./..../-/... .--./---/-../-.-./.-/.../- Audio version of message: https://archive.org/details/output_20230110 Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?elements=Boostagrams%2CValue A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

Our first episode of 2023 covers the brand-new gpttools package to called chatGPT directly in R, a wholistic look at MLOps with the latest tidymodels tooling, and a spotlight on the lesser-known quantile regression. Plus listener feedback and much more! Episode Links This week's curator: Kelly Bodwin (@KellyBodwin) {gpttools} for Chat GPT in RStudio MLOps: The Whole Game Quantile Regression Entire issue available at rweekly.org/2022-W52 Supplement Resources Why Everyone's Obsessed With ChatGPT, a Mind-Blowing AI Chatbot https://www.cnet.com/tech/computing/why-everyones-obsessed-with-chatgpt-a-mind-blowing-ai-chatbot Yury's quantile regression video: https://www.youtube.com/watch?v=Gtz8ca_4hVg What is R7? A New OOP System for R https://www.jumpingrivers.com/blog/r7-oop-object-oriented-programming-r R Weekly Highlights Episode 98 https://podverse.fm/episode/VvyuAA4kj Shiny Dev Series episodes with Mike discussing the Connective COVID-19 Test Spotter App: Part 1: https://shinydevseries.com/interview/ep030 Part 2: https://shinydevseries.com/interview/ep031 Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback Get a New Podcast App and send us a boost! https://podcastindex.org/apps?appTypes=app&elements=Value A new way to think about value: https://value4value.info Get in touch with us on social media: Eric: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon) Mike: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)

Data munging and visualization of your Twitter archive with R, a successful Shiny app submission to the FDA, and scoring Rock Paper Scissors. Episode Links This week's curator: Eric Nantz - @theRcast (Twitter) & @rpodcast@podcastindex.social (Mastodon) Read and Visualize your Twitter Archive UPDATE: Successful R-Based Package Submission with Shiny Component to FDA How to score Rock Paper Scissors Entire issue available at rweekly.org/2022-W50 Supplement Resources {ggiraph}: Make {ggplot2} plots interactive https://davidgohel.github.io/ggiraph RConsortium/submissions-pilot2 GitHub repository: https://github.com/RConsortium/submissions-pilot2 R/Pharma 2022 Conference Playlists on YouTube: Day 1 talks Day 2 talks Day 3 talks Workshops Supporting the Show New Podcast Apps: https://podcastindex.org/apps?appTypes=app&elements=Value A new way to think about value: https://value4value.info/