R Weekly 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 Le...

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 i...

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...

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...

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 S...

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 a...

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...

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...

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&...

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 sub...

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 py...

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" webi...

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 a...

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...

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 av...

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 differen...

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...

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...

The rstudio::conf(2022) presentation recordings are now available for viewing, and we learn about the unique development journey of the new CRAN release of the countdown package. Episode Links This week's curator: Sam Parmar ( @parsam_ ) Talk recordings and workshop materials from rstudio::conf(2022) The Past and Future of Shiny - Joe Cheng - rstudio::conf(2022) countdown v0.4.0 - Now on CRAN!...

Avoid repeating yourself by using dplyr's across function, going inside the process of creating a custom theme in ggplot2, and a few keyboard-centric tricks to manage your RStudio pane viewing. Episode Links This week's curator: Ryo Nakagawara ( @R_by_Ryo ) Using across() to create multiple columns Pretty ggplots with custom themes, ggtext, and ggh4x Window and Pane Management Tricks for R...

A wealth of R content from the UseR! 2022 conference is now available, focusing on accessibility in the diffify tool, and a great recap of rstudio::conf(2022) from TidyX. Episode Links This week's curator: Batool Almarzouq (@batool664) useR2022 recordings are now on the conference YouTube channel Theming diffify for accessibility: Part 2 RStudio::Conf 2022 Recap Entire issue available at rweek...

RStudio re-brands as Posit, the shinytest2 package continues to make waves in the Shiny community, and more Quarto tips to boost your workflow. Episode Links This week's curator: Kelly Bodwin ( @KellyBodwin ) RStudio rebrands as Posit {shinytest2}: For testing Shiny apps. ( slides ) One Quarto tip a day Entire issue available at rweekly.org/2022-W31 Supplement Resources JJ Allaire and Jeremy H...

Another great use case for Docker containers with interactive R-Markdown reports, a recap of RStudio's presence at the Appsilon Shiny conference, and building an interactive point-and-click game with Shiny. Episode Links This week's curator: Jonathan Carroll ( @carroll_jono ) Containerizing Interactive R Markdown Documents RStudio Recap From the Appsilon Shiny Conference How to build an in...

Advice on building Docker containers for Shiny applications, an R-centric tutorial on fundamentals with shell, and tips on evaluating GitHub activity for contributors. Episode Links This issue's curator: Tony ElHabr ( @TonyElHabr ) UseR!2022: Best Practices for Shiny Apps with Docker and More Shell vs R Fundamentals – From Syntax to Control Structures with Zsh & BASH Evaluating GitHub Acti...

Flexing new table-creation capabilities in the latest flextable update, how less is more with Shiny application processing, and the RainbowR community shines once again. Episode Links This week's curator: Jon Calder ( @jonmcalder ) {flextable} 0.7.2 - Framework for easily creating tables for reporting and publications Offload Shiny's Workload: COVID-19 processing for the WHO/Europe (Re)lau...