R Weekly 2025-W14 Mall, Gradients

31 Mar 2025

• 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

• Text Summarization, Translation, and Classification using LLMs: mall does it all

• The guide to gradients in R and ggplot2

Insights

• Organizing tests in R packages

• Setting up igraph for success in the next decade

• Hack Your Way To Scientific Glory (recreation)

• February 2025 Top 40 New CRAN Packages

R in Organizations

• carbonr: Making greenhouse gas reporting more accessible in R for organizations

• GSK’s Open-Source Shift: Training 1,000 Biostatisticians in R

• Open Source in Pharma: J&J’s 5-Year Journey to R-Based Regulatory Submissions

R in Academia

• Interpretable probabilistic kernel ridge regression using Matérn 3/2 kernels

• Accounting for ties in a Bayesian proportional hazards model

• announcing the nimbleMacros package and the use of macros in NIMBLE models

• A Bayesian proportional hazards model for a cluster randomized trial

Resources

• View Failing CRAN Checks in one place. Use the GitHub Action to be notified if your R package is every failing CRAN checks before it is too late!

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {shinyproxyLogs} 0.1.0: Tools for Analyzing ‘ShinyProxy’ Containers Logs

• {flexord} 1.0.0: Flexible Clustering of Ordinal and Mixed-with-Ordinal Data

• {gghourglass} 0.0.1: Plot Records per Time of Day

• {corella} 0.1.4: Prepare, Manipulate and Check Data to Comply with Darwin Core Standard

• {quadkeyr} 0.1.0: Generate Raster Images from QuadKey-Identified Datasets

Updated Packages

🔍 Search on R-universe 🔍

• {happign} 0.3.3: R Interface to French Geospatiale data from ‘IGN’ Web Services - diffify

• {cowsay} 1.2.0: Messages, Warnings, Strings with Ascii Animals - diffify

• {FIESTA} 3.7.1: Forest Inventory Estimation and Analysis - diffify

• {V8} 6.0.3: Embedded JavaScript and WebAssembly Engine for R - diffify

• {recipes} 1.2.1: Preprocessing and Feature Engineering Steps for Modeling - diffify

• {docopt} 0.7.2: Command-Line Interface Specification Language - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Release an R package with Positron

Tutorials

• Announcing rixpress

• The guide to gradients in R and ggplot2

• 3MW (Storing {pins} on GitHub and AWS S3)

• 3MW (Using {pins} for data storage)

• How to get your LLM model to run and interpret R code

• Improved sparsity support in tidymodels

• Introducing gander

• LLM-assisted Summarization of Abstracts And Bluesky Post via R

• Generate data with an LLM and ellmer

• Working with Clinical Trial Data? There’s a Pharmaverse Package for That

• How Many Ways to Color This Grid: Teaching Combinatorics Using R

• Conformalize (improved prediction intervals and simulations) any R Machine Learning model with misc::conformalize

• Sparklines in Reactable Tables in Shiny Apps

• Collecting Stock Data Using R: A Quick Guide

• How to Use the foreach() Function in R: A Comprehensive Guide

• Text Summarization, Translation, and Classification using LLMs: mall does it all

• From 30 to 3 Seconds: How We Made a Shiny App 10x Faster

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG):

• Announcing R Dev Day @ useR! 2025: Duke University, Durham, NC, USA, Monday 11 August, 09:00-17:00 EDT. Join us to work on contributions to the code, documentation and translations in base R. Free to attend, places allocated by application, deadline Tuesday 15 April.

Call for Participation

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

• Shiny in Production 2025: Abstracts Deadline Extension

• Effective Data Visualization in R in Scientific Contexts workshop

Connect

Join the Data Science Learning Community

Quotes of the Week

Made a little something to help students quickly convert between wide and long data for my (no-code) viz class. Helpful for when Datawrapper or Rawgraphs insist on a particular format for certain chart types. Built with #svelte and #rstats using webR! pivotteer.netlify.app

[image or embed]

— Aman Bhargava (@aman.bh) 30 March 2025 at 11:57

💯. R is so amazing, not only the language but the community. I have not found the same breadth of documentation and teaching materials elsewhere. With vignettes and tutorials routinely bridging domain specific science, stats and math concepts, and program implementation.

[image or embed]

— Pierre-Paul Axisa (@ppaxisa.bsky.social) 30 March 2025 at 18:23