R Weekly Highlights

Eric Nantz
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Feb 8, 2023 • 35min

Issue 2023-W06 Highlights

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)
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Feb 1, 2023 • 37min

Issue 2023-W05 Highlights

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)
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Jan 25, 2023 • 31min

Issue 2023-W03 Highlights

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)
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Jan 19, 2023 • 34min

Issue 2023-W02 Highlights

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)
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Jan 11, 2023 • 29min

Issue 2023-W01 Highlights

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)
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Jan 6, 2023 • 50min

Issue 2022-W52 Highlights

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)
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Dec 14, 2022 • 35min

Issue 2022-W50 Highlights

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/
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Dec 8, 2022 • 34min

Issue 2022-W49 Highlights

Big new features coming in {dplyr} 1.1.0, how you can make your own #rstats wrapped, and enhancing your Shiny apps with JavaScript (without knowing much JS). Plus your feedback and more! Episode Links This week's curator: Jon Carroll - @carroll_jono (Twitter) & @jonocarroll@fosstodon.org (Mastodon) How to make your own #RStats Wrapped! dplyr 1.1.0 is coming soon How to enhance your Shiny apps with JavaScript (JS) without knowing much JS Entire issue available at rweekly.org/2022-W49 Supplement Resources Differences between .by and group_by() in {dplyr}: https://dplyr.tidyverse.org/dev/reference/dplyr_by.html#differences-between-by-and-group-by- https://fosstodon.org/@posit_glimpse/109424114108257429 Travis Gerke's take on Spotify Wrapped https://www.linkedin.com/posts/travisgerke_spotify-wrapped-is-proof-that-sometimes-count-activity-7003778803088990209-E9yE NCmisc: miscellaneous functions for creating adaptive functions and scripts https://cran.r-project.org/web/packages/NCmisc/index.html Outstanding User Interfaces with Shiny https://unleash-shiny.rinterface.com/index.html Javascript for R https://book.javascript-for-r.com/ Pharmaverse https://pharmaverse.org Admiral hackathon https://www.cdisc.org/events/webinar/pre-admiral-hackathon-workshop-introduction-r-sas-programmers Supporting the Show 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
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Dec 1, 2022 • 28min

Issue 2022-W48 Highlights

A new approach to adding package tests with {doctest}, scraping data from dynamic web pages with {RSelenium}, and a simple checklist to power up your next bar chart. This week's curator: Tony Elhabr - @TonyElHabr (Twitter) & @tonyelhabr@skrimmage.com (Mastodon) {doctest} 0.1.0: Generate Tests from Examples Using 'roxygen' and 'testthat' Webscraping with RSelenium: automate your browser actions A simple checklist for bar plots Entire issue available at rweekly.org/2022-W48 Supplement Resources Webscraping with RSelenium and rvest: https://ivanmillanes.netlify.app/post/2020-06-30-webscraping-with-rselenium-and-rvest/ RSelenium with Docker: https://callumgwtaylor.github.io/post/using-rselenium-and-docker-to-webscrape-in-r-using-the-who-snake-database Shiny in Production recordings from Jumping Rivers: YouTube playlist
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Nov 23, 2022 • 31min

Issue 2022-W47 Highlights

Reshaping your R function syntax with {codegrip}, ways you can apply DRY principles to R package development, and a new online book teaching you how to create beautiful tables in R with {gt} Episode Links This week's curator: Jon Calder (@jonmcalder) {codegrip} 0.0.0.9000: Reshaping and navigation commands for R code DRY Package Development in R (slides) Creating beautiful tables in R with {gt} Entire issue available at rweekly.org/2022-W47 Supplement Resources The tidyverse style guide: https://style.tidyverse.org Google R style guide: https://google.github.io/styleguide/Rguide.html {dm} - Working with relational data models in R: https://dm.cynkra.com Posit Table Contest (deadline extended to December 2, 2022): https://www.rstudio.com/blog/rstudio-table-contest-2022/ Supporting the Show 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

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