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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 Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

• How not to be lost with VSCode when coming from RStudio?

• Introducing rpp: The long-term goal of the organisation is to add static type checking and other features to R, with zero cost at run time

• Fill the region between two lines in ggplot2

Insights

• Announcing New rOpenSci Software Peer Review Editors: Emily Riederer, Adam Sparks, and Jeff Hollister

• Introducing rpp: The long-term goal of the organisation is to add static type checking and other features to R, with zero cost at run time

• Some thoughts about colors: Color spaces

R in the Real World

• Fixture Difficulty and Fantasy Premier League Point Predictions

• RTutor: Does Bank Lending Increase Before Elections?

Resources

• Benchmarking GSL nonlinear least-squares algorithms in R with {gslnls}

• Images on Wikipedia created with R code

• The Australian Shark-Incident Database (ASID) for quantifying temporal and spatial patterns of shark-human conflict in Australia

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {gslnls} 1.0.0: Nonlinear least-squares optimization with the GNU Scientific Library in R.

• {lmForc} 0.0.1: R package for evaluating linear forecasting models.

• {cartogramR} 1.0-3: Continuous Cartogram.

GitHub or Bitbucket

• {defmacro} 0.0.0.9000: Load time R package macros.

Updated Packages

• {proceduralnames} 0.2.1: Several Methods for Procedural Name Generation.

• {zonal} 0.0.1: Fast, accurate zonal statistics for “big” categorical and continuous data.

• {nfl4th} 1.0.0: Functions to Calculate Optimal Fourth Down Decisions in the National Football League.

• {gtsummary} 1.4.2: Presentation-Ready Data Summary and Analytic Result Tables.

• {dm} 0.2.5: Relational Data Models.

• {igraph} 1.2.7: Network Analysis and Visualization.

• {hockeyR} 0.1.1: Collect and Clean Hockey Stats.

• {distill} 1.3: ‘R Markdown’ Format for Scientific and Technical Writing.

• {systemfonts} 1.0.3: System Native Font Finding.

• {tidygeocoder} 1.0.4: Geocoding Made Easy.

• {usethis} 2.1.0: Automate Package and Project Setup.

• {rvest} 1.0.2: Easily Harvest (Scrape) Web Pages.

• {prismatic} 1.1.0: Manipulate and visualize colors in a intuitive, low-dependency and functional way.

Videos and Podcasts

• How to Document a Function in Your R Package

• Why and How to Include a Vignette in Your R Package

• TidyX Episode 79: Tidymodels - Cross-Validation and Metrics

Shiny Apps

• Find Your Proposed New Massachusetts House District

• Ishihara Color Detection Test

Tutorials

• Your first D3 visualisation with {r2d3} and Scooby-Doo

• How not to be lost with VSCode when coming from RStudio?

• Fill the region between two lines in ggplot2

• {emayili} Support for Gmail, SendGrid & Mailgun

• Generating and customizing badges in r-universe

• Guide through jungle of models! What’s more about the forester R package?

• Kruskal-Wallis test in R [with example and code]

• Useless animated showcase of plot() function

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• October 30: 95th Tokyo.R User Meetup

• November 2-4: R/Pharma Conference 2021

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Favorite #rmarkdown trick I’ve learned recently: in your chunk options, eval does not have to equal just TRUE or FALSE. You can set it to a Boolean variable of your own creation, meaning chunks can be evaluated on a conditional basis, depending on what’s in your data 🎉

— Meghan Hall (@MeghanMHall) October 14, 2021

Husband surprised me with a new license plate when he renewed our car’s registration 😆 #rstats pic.twitter.com/HosfddRpvR

— Rebecca Janis (@rbjanis5) October 14, 2021

Little #RStats function I use when I quickly need to open the result of various %>% operations in Excel

as in : mtcars %>% filter(am == 1) %>% show_in_excel() pic.twitter.com/HfJm9jOxVu

— Bruno Rodrigues (@brodriguesco) October 11, 2021