R Weekly 2023-W42 testing, shiny logging, default arguments

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Hello and welcome to this new issue!

• How to have (my) content shared by R Weekly?

This week’s release was curated by Tony ElHabr, with help from the R Weekly team members and contributors.

Highlight

• Two recent enhancements to my testing workflow

• Shiny In Production 2023: Effective Logging in Shiny

• Note to self: be aware of functions with default arguments

Insights

• testthat 3.2.0

• Two recent enhancements to my testing workflow

• rang 0.3.0 or why computational reproducibility is not about recipes

• Note to self: be aware of functions with default arguments

• Some tips on unit testing with testthat and rlang

• The R session crashed with exit code 2

• Running R in Jupyter: Unleash the Simplicity of Notebooks

R in the Real World

• Preregistration and Researcher Degrees of Freedom: Experiences from a Field Experiment

R in Organizations

• R Conference 2023: Malaysia’s Largest Face-to-Face Annual R Conference

Resources

• Shiny in Production 2023: Dynamic annotations: 10 tips for better text

• Shiny In Production 2023: Effective Logging in Shiny

• Shiny In Production 2023: Anatomy of a Shiny app

• Building Bridgest: Exploring Open-Source Library Development in R and Python

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {wordbankr} 1.0.1: Accessing the Wordbank Database

• {shinylive} 0.1.0: Run ‘shiny’ Applications in the Browser

• {daff} 1.0.1: Diff, Patch and Merge for Data.frames

• {qrlabelr} 0.1.0: Generate Machine- And Human-Readable Plot Labels for Experiments

• {chessboard} 0.1: Create Network Connections Based on Chess Moves

• {DSBayes} 2023.1.0: Bayesian Subgroup Analysis in Clinical Trials

GitHub or Bitbucket

• {atr} 0.0.0.9000: Wraps the AT Protocol (Authenticated Transfer Protocol) behind Bluesky

Updated Packages

🔍 Search on R-universe 🔍

• {explore} 1.1.0: Simplifies Exploratory Data Analysis - diffify

• {tidyposterior} 1.0.1: Bayesian Analysis to Compare Models using Resampling Statistics - diffify

• {drat} 0.2.4: ‘Drat’ R Archive Template - diffify

• {pixiedust} 0.9.4: Tables so Beautifully Fine-Tuned You Will Believe It’s Magic - diffify

• {ggplot2} 3.4.4: Create Elegant Data Visualisations Using the Grammar of Graphics - diffify

• {ggrepel} 0.9.4: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’ - diffify

• {rpostgis} 1.5.0: R Interface to a ‘PostGIS’ Database - diffify

• {shapviz} 0.9.2: SHAP Visualizations - diffify

• {reactR} 0.5.0: React Helpers - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• [Shiny URL Queries

  TidyX Episode 160](https://www.youtube.com/watch?v=gYy9RjVBUfI)

• Interfacing QGIS processing algorithms from R - Floris Vanderhaeghe

Gist & Cookbook

• Comparing single- and double-bracket subsetting for atomic vectors

R Internationally

• 🇪🇸📚 Big Book of R now has a Spanish section 📚🇪🇸

Tutorials

• Where are #TidyTuesday haunted cemeteries compared to haunted schools?

• Hooray, Array!

• nflplotR & the gt Package

• An Example of Shortening R Code

• Two Hidden Ways to Set Global Chunk Options for knitr

• Create Tabsets from HTML Sections or Bullet Lists via JavaScript and CSS

• Three Useful Functions in Base R: regexec(), strrep(), and append()

• An Example of Simplifying a Decade-Old Piece of JavaScript

• A diffusion model: G2++

• Little useless-useful R functions – Function for faster reading with Bionic Reading

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Visualising connection in R workshop

• LatinR 2023 - Latin American Conference on the Use of R in R&D: 18th October

• Network Analysis with R workshop: 26th October

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

It's been almost a year since my last #TidyTuesday and post here, and as I wanted to practice a bit with maps and {sf}, I visualized the same information on four different maps.

Code & full size : https://t.co/Pqie3OtgA3 #rstats #dataviz #r4ds #ggplot pic.twitter.com/fW9mUwdABk

— Christophe Nicault (@cnicault) October 14, 2023

Quotes of the Week

Useful! The pak #rstats package has a handy function for showing the dependency tree of a package -- pkg_deps_tree() pic.twitter.com/QZQOn2IWkd

— Zev Ross (@zevross) October 11, 2023

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