R Weekly 2025-W22 Writing a book with Quarto, clean R code, when good pseudorandom numbers go bad

27 May 2025

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

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

Highlights

• Writing a book with Quarto: Turn a collection of RMarkdown documents into a book in <1 hour using Quarto

• Keep your R code clean and consistent with Air
• When good pseudorandom numbers go bad

Insights

• Security blind spots in Shiny: why your app is more vulnerable than you think

• When good pseudorandom numbers go bad
• How to use GitHub Codespaces to simplify your Quarto Workshops

R in the Real World

• Sydney Beaches: Water Quality Reliability

R in Organizations

• R in FDA Submissions: Lessons Learned from 5 FDA Pilots
• Five essential models for data scientists in finance

Resources

• 15 New Books added to Big Book of R
• Spurious correlations
• Interactive charts in R and beyond

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {forestdata} 0.3.0: Download Forestry Data

• {kknn} 1.4.1: Weighted k-Nearest Neighbors
• {AirMonitor} 0.4.3: Air Quality Data Analysis
• {densityratio} 0.2.0: Distribution Comparison Through Density Ratio Estimation
• {fairmetrics} 1.0.0: Fairness Evaluation Metrics with Confidence Intervals

Updated Packages

🔍 Search on R-universe 🔍

• {tinyplot} 0.3.0: Lightweight Extension of the Base R Graphics System - diffify
• {performance} 0.13.0: Assessment of Regression Models Performance - diffify
• {rsconnect} 1.4.0: Deploy Docs, Apps, and APIs to ‘Posit Connect’, ‘shinyapps.io’, and ‘RPubs’ - diffify
• {fda} 6.2.0: Functional Data Analysis - diffify
• {descriptio} 1.4: Descriptive Statistical Analysis - diffify
• {recipes} 1.3.1: Preprocessing and Feature Engineering Steps for Modeling - diffify
• {GitStats} 2.3.2: Standardized Git Repository Data - diffify
• {flightsbr} 1.1.0: Download Flight and Airport Data from Brazil - diffify
• {marginaleffects} 0.26.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify
• {BIOMASS} 2.2.4: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests - diffify

Videos and Podcasts

• Risk Ratios vs. Odds Ratios: Which to Use & WHY
• How to find fun data

Shiny Apps

• Polygenic Risk Score explorer

R Internationally

• Shiny in Production 2025: Workshops

Tutorials

• Planning for a 3-arm cluster randomized trial with a nested intervention and a time-to-event outcome
• Custom PowerPoints Using {officer}
• A step-by-step chart makeover
• Writing a book with Quarto: Turn a collection of RMarkdown documents into a book in <1 hour using Quarto
• Keep your R code clean and consistent with Air

R Project Updates

Updates from R Core:

• Changes in R-devel

Updates from the R Contribution Working Group (RCWG):

• R Contributor Office Hours, Thursday February 6: 10:00-11:00 UTC or 09:30-11:00 PST. R Core developer Martin Maechler will be joining the first office hour.

Upcoming Events in 3 Months

• Forwards To Offer R Package Development Workshops Online

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

Connect

Join the Data Science Learning Community

rtistry

#TidyTuesday week 19: Seismic Events at Mount Vesuvius 🌋 A quick one looking at the relationship between depth and duration magnitude. #Rstats #dataviz #ggplot2

[image or embed]

— Dan Oehm (@danoehm.bsky.social) 18 mai 2025 à 12:02

Quote of the Week

library(tidyverse) hist(penguins$body_mass_g) #rstats #ggplot2

[image or embed]

— Christian Gebhard 🧬📊 (@christiangebhard.com) 23 mai 2025 à 21:06