R Weekly 2024-W23 Compa-tibble, Tutorials with Quarto

03 Jun 2024

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

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

Highlight

• Make your functions compa-tibble

• Creating R tutorial worksheets (with and without solutions) using Quarto

Insights

• Make your functions compa-tibble

• Non-API calls conundrum, CRAN, cpp11, minty, true length, vendoring, readODS

• R4HR in Buenos Aires: Leveraging R for Dynamic HR Solutions

R in the Real World

• Race and Ethnicity in New York City

R in Organizations

• One More Step Forward: The R Consortium Submission Working Group’s Presentation to Swissmedic on Regulatory Submission using R and Shiny

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {ggfoundry} 0.1.1: Hand-crafted fillable shapes for ggplot2.

• {marquee} 0.1.0: Markdown Parser and Renderer for R Graphics

• {sparsevctrs} 0.1.0: Sparse Vectors for Use in Data Frames

• {geoarrow} 0.2.0: Extension Types for Spatial Data for Use with ‘Arrow’

• {emphatic} 0.1.8: Exploratory Analysis of Tabular Data using Colour Highlighting

GitHub

• {geotargets} 0.1.0: ‘Targets’ Extensions for Geospatial Formats

Updated Packages

🔍 Search on R-universe 🔍

• {survivoR} 2.3.3: Data from all Seasons of Survivor (US) TV Series in Tidy Format - diffify

• {RcppArmadillo} 0.12.8.4.0: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify

• {RMariaDB} 1.3.2: Database Interface and MariaDB Driver - diffify

• {bulkreadr} 1.1.1: The Ultimate Tool for Reading Data in Bulk - diffify

• {ggwordcloud} 0.6.2: A Word Cloud Geom for ‘ggplot2’ - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• TidyX Episode 181 - I Likert Coffee

Shiny Apps

• 3MW (Improve Your R-Shiny App With Modules)

• Introducing LogAnalyzer: An Easy-to-Use Log Monitoring Tool for R/Shiny Applications

• How to Develop Robust and Maintainable JavaScript Code Within a Shiny Application

• A simple way to speed up shinytest2 tests

Tutorials

• What is the difference between (un)packing and (un)nesting a tibble?

• Unveiling the Power of get_cms_meta_data() in healthyR.data

• Iterative Square Root

• Forecasting the Economy

• Calculating data for visualization on stacked 100% bar

• Creating R tutorial worksheets (with and without solutions) using Quarto

• Customise your R startup message

• R One Billion Row Challenge: Is R Viable Option for Analyzing Huge Datasets?

• What are the use cases for using nested data over packed data?

R Project Updates

Updates from R Core:

Call for Participation

• Shiny in Production 2024: Call for Abstracts

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Cascadia R Conference 2024

Connect

Join the Data Science Learning Community

rtistry

🚨New chart tutorial alert! 🙂

Learn how to build a clean choropleth map with a histogram included as a legend.

All made with #rstats and ggplot2. 🔥

Full tuto:https://t.co/RjP2UX5jky

Thanks @viniciusoike for the contribution, and @joseph_barbier for the tweaks! 🙏 pic.twitter.com/2VK5RCDvMi

— Yan Holtz (@R_Graph_Gallery) May 30, 2024

Quotes of the Week

FYI, base #rstats rounds to the even number at .5, rather than always rounding up.
1.5 -> 2
2.5 -> 2
If you want to to always round up at .5, you can use janitor::round_half_up(). https://t.co/ANTMzO2Yzs pic.twitter.com/N3Y3D3wu9s

— Crystal Lewis (@Cghlewis) May 29, 2024