R Weekly Highlights

Annotated screencasts of David Robinson's Tidy Tuesday analyses, and the second edition of Deep Learning with R is on the way. Episode Links This week's curator: Batool Almarzouq (@batool664) RScreencasts.com: A collection of 80+ hours of time-stamped, annotated TidyTuesday screencasts highlighting the R packages and functions used in each section and what the activity is. Screencasts by David Robinson. Annotation by Alex Cookson and Eric Fletcher. Website by Oscar Baruffa. For more detail, read the launch post. Deep Learning with R, 2nd Edition Entire issue available at rweekly.org/2022-W22 Supplement Resources R DiscoRd community: https://discord.gg/FQp6ZNd David Granjon's preview of Outstanding User Interfaces with Shiny: https://twitter.com/divadnojnarg/status/1530710989574111232 Shiny Developer Series Episode 20: Outstanding User Interfaces with David Granjon https://shinydevseries.com/interview/ep020/

Amazing software development resources for data scientists, community-contributed R markdown tips & tricks to save you time, and combining GitHub gists and Carbon screenshots with gistillery. Episode Links This week's curator: Eric Nantz (@theRcast Software Development Resources for Data Scientists R Markdown Tips and Tricks #3: Time-savers & Trouble-shooters gistillery: Take local code, send it to a Github gist, get a beautiful image from Carbon.now.sh, and make it ready to share! Entire issue available at rweekly.org/2022-W21

A preview of R for Data Science (2nd edition) with missing data, creating topography maps, and (yes) playing the drums directly in R. Episode Links This week's curator: Kelly Bodwin (@KellyBodwin) New r4ds chapter: missing values Making a crisp topography map with R {tr808r}: Play the drums with an R package Entire issue available at rweekly.org/2022-W20 Supplement Resources https://en.wikipedia.org/wiki/Roland_TR-808

A dungeon-crawler for your R console, storytelling in ggplot2 with rounded rectangles, and updates to the tidymodels recipes suite of packages. Episode Links This week's curator: Colin Fay (@_colinFay) Simple procedural dungeons in R Storytelling in ggplot using rounded rectangles Updates for recipes extension packages Entire issue available at rweekly.org/2022-W19 Supplement Resources Binder - Turn a Git repo into a collection of interactive notebooks https://mybinder.org R-Podcast Episode 28 - Tidymodels with Max Kuhn https://r-podcast.org/028-max-kuhn

A brand-new tables gallery powered by the R community, noteworthy items from the Appsilon Shiny conference, and R-Markdown is not going anywhere. Episode Links This week's curator: Eric Nantz (@theRcast) RStudio Community Table Gallery shinytest2, Rhino R Shiny framework top news at Appsilon conference With Quarto coming, is R Markdown going away? No. Entire issue available at rweekly.org/2022-W18 Supplement Resources https://community.rstudio.com/t/expected-goals-xg-shot-timeline-for-soccer-football-with-gt/86449 https://community.rstudio.com/t/conditionally-formatted-state-transition-matrices/120336 https://www.rstudio.com/champion R-Podcast episode 24 (Yihui Xie returns) https://r-podcast.org/024-rstudioconf-yihui-xie

Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework. Episode Links This week's curator: Jonathan Carroll (@carroll_jono) 6 Lessons I learned from teaching R to non-programmers Loading a large, messy csv using data.table fread with cli tools Bayesian analyses made easy: GLMMs in R package brms Not so standard evaluations - Getting a better understanding of the tidyeval framework Entire issue available at rweekly.org/2022-W17 Supplement Resources Data science at the command line Learning Bayesian statistics podcast Bayes Rules! An Introduction to Applied Bayesian Modeling

An important change coming to the R-spatial ecosystem, enhancing function error reporting with chaining, and traveling down the monad rabbit hole. Episode Links This week's curator: Tony ElHabr (@TonyElHabr) R-spatial evolution: retirement of rgdal, rgeos and maptools Error chaining Why you should(n't) care about Monads if you're an R programmer Entire issue available at rweekly.org/2022-W16 Supplement Resources Roger Bivand's announcement of the rgdal, rgeos, and maptools packages retirement Geocomputation with R Progress in the R ecosystem for representing and handling spatial data Rweekly Highlights episode 72 Bruno Rodregues' monads YouTube video "Function Factories" Chapter in Advanced R

The cone of silence is lifted for the Quarto publishing engine, re-creating a storytelling look with ggplot2, and programming a fun Dragon Realm game in Shiny. Episode Links This week's curator: Jon Calder (@jonmcalder) We don't talk about Quarto Recreating the Storytelling with Data look with ggplot Programming Games with Shiny - Dragon Realm Entire issue available at rweekly.org/2022-W15 Supplement Resources Recordings of Nic Wan's Viz Buzz online graph competition on YouTube Flowchart Diagrams in GitHub Quarto GitHub discussion board Improve this graph! Storytelling with data YouTube video CRAN task views ctv package GitHub repository

A trifecta of new R packages for data validation, function logging, and a new ggplot2 extension. Episode Links This week's curator: Ryo Nakagawara (@R_by_Ryo) Exemplar: a prototype R package for data validation {chronicler} 0.1: Implementation of the logger monad in R. {ggbraid} 0.1.0: Braid two lines and a ribbon in ggplot2. Supplement Resources Monads: https://ericlippert.com/category/monads/page/2/ Episode 62: https://rweekly.fireside.fm/62 ggbraid vignette: https://nsgrantham.github.io/ggbraid/articles/hoops.html

After a brief hiatus, the R-Weekly Highlights podcast is back! In this episode we discuss: Understanding the native R pipe, and using RopenSci's pkgcheck within GitHub Actions. Episode Links This week's curators: Ryo Nakagawara (@R_by_Ryo) and Batool Almarzouq (@batool664) Understanding the native R pipe |> pkgcheck now available as a GitHub action! Entire issue available at rweekly.org/2022-W13 Supplement Resources Episode 60: https://rweekly.fireside.fm/60 GitHub Actions for the R Community: https://github.com/r-lib/actions/ Appsilon Shiny Conference: https://appsilon.com/2022-appsilon-shiny-conference Shiny Developer Series episode 30 - The Connecticut COVID-19 Test Spotter App (Part 1): https://shinydevseries.com/ep30