R Weekly Highlights

Using development containers to bootstrap a reproducible R and Quarto environment, a comprehensive approach to extending the data frame class, and plotting your own universe of labels with ggsolar. Episode Links This week's curator: Jon Carroll - @carroll_jono (Twitter) & @jonocarroll@fosstodon.org (Mastodon) Dev containers with R and Quarto Extending Data Frames Make “Solar System” Plots...

A data-driven look at package loading annotations in R scripts, a fit-for-purpose package that makes a large contribution to the global R ecosystem, and a collection of amazing showcases of webR in action that is paving the way for continued innovation. Episode Links This week's curator: Tony Elhabr - @TonyElHabr (Twitter) & @tonyelhabr@skrimmage.com (Mastodon) What are people commenting a...

Ten unique ways to create your own Web APIs in R, and how you can import local and remote data files in CSV and (yes) Excel formats with a selection of innovative R packages. Episode Links This week's curator: Jon Calder ( @jonmcalder ) (Twitter) Hello world examples with 10 different R web API frameworks Reading Remote Data Files Entire issue available at rweekly.org/2023-W14 Supplement Resou...

A new perspective on the value of base R functions, enhancing the capabilities of gpttools with vector databases, and three ways you can add alt text to your R-based visualizations. Episode Links This week's curator: Ryo Nakagawara - @R_by_Ryo (Twitter) & @R_by_Ryo@mstdn.social (Mastodon) Some love for Base R. Part 1 Teaching ChatGPT What It Doesn’t Know Alt Text in R: Plots, Reports, and...

The future of running R in your web browser is here with webR 0.1, a demonstration of integrating Quarto and webR with immense potential in the space of reproducible analysis, and two fundamental techniques from the world of software development tailored to non-programmers. Episode Links This week's curator: Sam Parmar - @parmsam_ (Twitter) & @parmsam@fosstodon.org (Mastodon) webR 0.1.0 ha...

A episode full of discovery in this week's edition of R-Weekly Highlights! How you can parse your own R code with parse and getParseData , a closer look at the search capabilities in R-Universe, and a look back at the key milestones in the history of the R language. Episode Links This week's curators: Kellly Bodwin - @KellyBodwin (Twitter) and Emily Robinson - @robinson_es (Twitter) "...

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...

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 availab...

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...

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...

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 pa...

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...