R Weekly Highlights

Practical tips on starting new R projects, and improving a visualization of US streaming market share. Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) Draw me a project (https://masalmon.eu/2021/06/30/r-projects/) Improving a Visualization…

Creating your own CRAN-like repository with R-universe, results the third annual Shiny contest, and insights on why to use Shiny. Episode Links This week's curator: Colin Faye (@_colinFay (https://twitter.com/_colinfay)) How to create your personal CRAN-like repository on R-universe (https://ropensci.org/blog/2021/06/22/setup-runiverse/) Winners…

Projecting and tracking COVID-19 infection rates in England with R, leveraging Wikidata to tag scientific abstracts, and a new deep-learning workflow with the luz package Episode Links This week's curator: Robert Hickman (@robwhickman (https://twitter.com/robwhickman)) Tracking SARS-CoV-2 In England with {epidemia}…

Using Animal Crossing data with the Google Vision API and machine learning, the latest Shiny developer series with Nick Strayer, and ensuring robust database transactions in Shiny Episode Links This week's curator: Tony Elhabr ([@TonyElHabr] Everybody Loves Raymond: Running Animal Crossing Villagers through the Google Vision API…

Reusing knitr chunk options, the combo of VS-Code and R in 2021, and say hello to gggrid Episode Links This week's curator: Miles McBain (@MilesMcBain (https://twitter.com/MilesMcBain)) Reusing Code Chunks and Chunk Options with knitr (https://yihui.org/en/2021/05/knitr-reuse/) R in 2021 with VSCode…

Extracting and analyzing Apple health data, and the top 40 CRAN packages for April Episode Links This week's curator: Wolfram Qin (https://github.com/qinwf) Changes in Apple Health Export (https://www.johngoldin.com/blog/2021-05-changes-in-apple-health-export/) April 2021: "Top 40" New CRAN Packages…

The big new features in R 4.1.0, what makes a great function example, and evolution of a ggplot Episode Links This week's curator: Kelly Bodwin (@KellyBodwin (https://twitter.com/KellyBodwin)) New features in R 4.1.0 (https://www.jumpingrivers.com/blog/new-features-r410-pipe-anonymous-functions/) Package documentation: What makes a good example?…

A tidymodels approach to the Introduction to Statistical Learning learning labs, exploring class imbalance on the TidyX video series, and encrypting and hosting a R Markdown report. Episode Links This week's curator: Ryo Nakagawara (@RbyRyo (https://twitter.com/R_by_Ryo)) ISLR: tidymodels labs…

Using the trifecta of map, walk, and pivot for data processing, obtaining quotes from the Friends characters in R, and putting the spolight on Shiny user interfaces in the Shiny Dev Series. Episode Links This week's curator: Hey, it's me, Eric! (@theRcast (https://twitter.com/thercast)) Map, Walk, Pivot…

A call to action for testing R 4.1, a practical guide to unit tests, and a tutorial on creating pizza charts with football data Episode Links This week's curator: Jonathan Carroll (@carroll_jono (https://twitter.com/carroll_jono)) R Can Use Your Help: Testing R Before Release…