R Weekly Highlights

A major achievement unlocked! In episode 100 of RWeekly Highlights: The new {rtoot} package for collecting and analyzing Mastodon data, using the {unheadr} package to fix broken and irregular column headers, a tour of the apply functions in base R, and creating posters of NBA rosters with R and ImageMagick. Plus a big announcement on a new way to directly support the show! Episode Links This week's curator: Ryo Nakagawara - @R_by_Ryo (Twitter) & @R_by_Ryo@mstdn.social (Mastodon) {rtoot}: Collecting and analyzing mastodon data! Fixing broken and irregular column headers Let's Get Apply'ing NBA Posters Entire issue available at rweekly.org/2022-W46 Supplement Resources Everything I know about Mastodon: https://blog.djnavarro.net/posts/2022-11-03_what-i-know-about-mastodon/ Fedi.tips (an unofficial guide to Mastodon and the Fediverse): https://fedi.tips RWeekly is now on Mastodon! @rweekly@fosstodon.org Favorite/most important base R functions new users should know: https://twitter.com/newmeyermn/status/1591464874827460608 Supporting the Show New Podcast Apps: https://podcastindex.org/apps?appTypes=app&elements=Value A new way to think about value: https://value4value.info/

Embracing the dual role of data scientist and software developer with state-of-the-art tooling, illustrating the fundamentals of Shiny (literally), and the TidyX crew put their data wrangling skills to the test. Episode Links This week's curator: Sam Parmar (@parmsam_) Are you Data Scientists or Software Developers?! Understanding ShinyApps TidyX Episode 121: Tell me what you want - user submitted data Entire issue available at rweekly.org/2022-W44 Supplement Resources Manage Dependencies with the deps R Package for Docker Containers Alternatives to paired bar charts

The power of Quarto's interoperability shines again with integrating R and JavaScript maps, as well as the grammar of table generation in both R and Python. Plus boost the launching of your R session with the startup package. Episode Links This week's curator: Kelly Bodwin Let’s make maps with bertin.js in Quarto startup 0.19.0 - Friendly R Startup Configuration The grammar of tables in python (pandas) and R (gt) Entire issue available at rweekly.org/2022-W42 Supplement Resources https://github.com/mcanouil/awesome-quarto https://github.com/neocarto/bertin https://quarto.org/docs/interactive/ojs/libraries.html

The magic of automated Shiny app deployment and data aggregation using GitHub actions, 6 productivity hacks for Quarto, and valuable tips for managing large codebases in R. Episode Links This week's curator: Colin Faye (@_colinFay) Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions 6 Productivity Hacks for Quarto "Managing Large Codebases in R" webinar Entire issue available at rweekly.org/2022-W41 Supplement Resources littler - scripting and command-line front-end for R https://dirk.eddelbuettel.com/code/littler.html

Design principles for data analysis, unraveling pipeline analyses with {Unravel}, and visualizing simulated environmental changes in western Canada with Shiny. Episode Links This week's curator: Eric Nantz Design Principles for Data Analysis {Unravel} - A fluent code explorer for R Case Study: Simulating Environment Change Agents on Species in Canada's Western Boreal Forests Entire issue available at rweekly.org/2022-W40 Supplement Resources Casual Inference Podcast: https://casualinfer.libsyn.com Not So Standard Deviations Podcast: https://nssdeviations.com/ Designing for Analytics Podcast: https://designingforanalytics.com/experiencing-data-podcast/ Elements and Principles for Characterizing Variation between Data Analyses (preprint) https://arxiv.org/abs/1903.07639 Stephanie Hicks' thread on the preprint: https://twitter.com/stephaniehicks/status/1108462768099856384 Lucy D'Agostino McGowan's presentation at JSM 2022: https://www.lucymcgowan.com/talk/asa_joint_statistical_meeting_2022 Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results https://journals.sagepub.com/doi/10.1177/2515245917747646 Unravel presentation at UIST 2021 https://www.youtube.com/watch?v=wJ77e39XVEs ShinyWBI https://wbi-nwt.analythium.app/apps/nwt/

A collection of highlights to give your future developer self a helping hand: Deploying a Flexdashboard using GitHub Pages and Docker, an illustrated guide showcasing the perks of Git and GitHub for version control, and how the logger package integrates smoothly with plumber for an API package. Additional note: The recording of this episode was met with unfortunate technical glitches. We apologize and promise the quality will be back to normal next time! Episode Links This week's curator: Jonathan Carroll (@carroll_jono) Deploy Flexdashboard on Github Pages with Github Actions and Docker GitHub - The Perks of Collaboration and Version Control API as a package: Logging Entire issue available at rweekly.org/2022-W39 Supplement Resources Submitting Your Work to the Table Contest | 2022 Table Contest https://www.youtube.com/watch?v=fgYgaYKpLO0 Let's Create a Quarto Doc & Share it on Quarto.Pub | Table Contest 2022 https://www.youtube.com/watch?v=l-AQ4yAQXy0

A few major benefits of adopting variable labels for R data frames, wrapping a plumber API into a package with mariobox, and getting started with obtaining new data in R via APIs and web scraping. Episode Links This week's curator: Tony ElHabr (@TonyElHabr) The case for variable labels in R {mariobox} 0.0.0.9000: A framework for packaging {plumber} APIs APIs and web scraping Entire issue available at rweekly.org/2022-W38 Supplement Resources MLOps with vetiver in Python & R: https://www.youtube.com/watch?v=oFQANK13-k4

A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping wind data with R, calculating the expected statistic in football, and how the vetiver package fits in an ML-Ops production flow using Docker and Plumber. Episode Links This week's curator: Jon Calder (@jonmcalder) Mapping wind data with R Calculating and comparing expected points from different expected goals sources (soccer) Use Docker to deploy a model for #TidyTuesday LEGO sets Entire issue available at rweekly.org/2022-W37 Supplement Resources Julia Silge's YouTube Channel: https://www.youtube.com/c/JuliaSilge

Using base R to decrypt an Australian coin's hidden messages, the Palmer Penguins data set achieves another milestone, and visualizing multiple statistcal properties with faded raincloud plots. Episode Links This week's curator: Miles McBain (@MilesMcBain) Australian Signals Directorate 50c Coin Decryption Palmer Archipelago Penguins Data in the palmerpenguins R Package - An Alternative to Anderson’s Irises Efficient data visualization with faded raincloud plots Entire issue available at rweekly.org/2022-W36 Supplement Resources Using distill template with knitr::read_chunk https://twitter.com/apreshill/status/1565752119751237638 Manuscript on raincloud plots: https://wellcomeopenresearch.org/articles/4-63/v2 {gghalves}: https://erocoar.github.io/gghalves/ {ggp0}: https://docs.r4photobiology.info/ggpp/

Using hierarchical forecasting to explore subway fare recovery, and how you can learn more about {gtsummary} to create your next publication-quality table within R. Episode Links This week's curator: Batool Almarzouq (@batool664) Exploring Types of Subway Fares with Hierarchical Forecasting Clinical Reporting with {gtsummary} by Daniel D. Sjoberg Entire issue available at rweekly.org/2022-W35 Supplement Resources R-Podcast Episode 27: Get the {gt} Tables! https://r-podcast.org/027-rstudioconf-tables