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R Weekly Highlights
By Eric NantzScience
R Weekly Highlights episodes
- Issue 2023-W09 Highlights
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 makes the package special?
- Why should I use R: The Excel R Data Wrangling comparison: Part 1
- Entire issue available at rweekly.org/2023-W09
Supplement Resources
- ggiraph online book https://www.ardata.fr/ggiraph-book
- {openxlsx2} read, write, and modify xlsx files https://janmarvin.github.io/openxlsx2
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
- A new way to think about value: https://value4value.info
- Get in touch with us on social media
- Eric Nantz: @theRcast (Twitter) and @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
37 min - Issue 2023-W08 Highlights
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) & @[email protected] (Mastodon)
- rtweet future
- Ensuring & Showcasing the Statistical Correctness of your R Package
- Shiny Monster Maze
- Entire issue available at rweekly.org/2023-W08
Supplement Resources
- Lluis Revilla's call for a co-maintainer of {rtweet} https://github.com/ropensci/rtweet/issues/763
- Denis Pushkarev's post on the current state of core-js: https://github.com/zloirock/core-js/blob/master/docs/2023-02-14-so-whats-next.md
- {mmrm} Mixed models for repeated measures in R: https://openpharma.github.io/mmrm/latest-tag/
- Shiny Monster Maze blog post: https://www.bitfoam.com/post/2023-01-24-shiny-monster-maze/
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
- Support creators with boostagrams using Podverse and Alby: 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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
38 min - Issue 2023-W07 Highlights
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) & @[email protected] (Mastodon)
- What Does It Mean to Maintain a Package?
- Resampling to understand gender in #TidyTuesday art history data
- Manipulate SVG Plots with JavaScript in R Markdown
- Entire issue available at rweekly.org/2023-W07
Supplement Resources
- Bootstrap resampling and tidy regression models https://www.tidymodels.org/learn/statistics/bootstrap/
- Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages (JooYoung Seo from rstudio::global(2021)) https://www.rstudio.com/resources/rstudioglobal-2021/accessible-data-science-beyond-visual-models-non-visual-interactions-with-r-and-rstudio-packages
- Eric's adventures with Shiny modules and SVG interactions https://community.rstudio.com/t/passing-module-namespace-to-embedded-javascript-function/26988
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
- Support creators with boostagrams using Podverse and Alby: 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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
39 min - 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) & @[email protected] (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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
35 min - 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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
38 min - 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) & @[email protected] (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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
32 min - 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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
35 min - 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) & @[email protected] (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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
30 min - 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 @[email protected] (Mastodon)
- Mike: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
50 min - 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) & @[email protected] (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/
36 min
About R Weekly Highlights
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The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.
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