R Weekly 2026-W18 logrittr, Working smarter, Generating universes

27 Apr 2026

• 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

• logrittr: A Verbose Pipe Operator for Logging dplyr Pipelines

• Working Smarter in R: Tips, Tricks & Real-World Lessons

• Generating universes within universes with a single seed

Insights

• What’s new in R 4.6.0?

• mori: Shared memory for R objects

• New York City Hexmaps

R in the Real World

• A Data-Driven Survey of MLB Franchise Management

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• Stage II OSCC — Health Economics Model

R in Organizations

• Investing in the R Community: Our Support for Global R Events in 2026

• Expanding the Editorial Team: Alec Robitaille and Lucy D’Agostino McGowan Join as Editors

R in Academia

• New Preprint: Climate Change Coverage in The Guardian, 2010–2025

• Introducing Axon.R: Appsilon’s Framework for R Package Validation in Pharma

Tutorials

• Schotter Plots in R

• Why Most Time Series Models Fail Before They Start

• Post-hoc Fairness Audit of a Deployed Risk Score (COMPAS Case)

• Forecasting SARS-CoV-2 Variant Dominance: A Multi-Engine Approach

• logrittr: A Verbose Pipe Operator for Logging dplyr Pipelines

• reviser: Analyzing Real-Time Data Revisions in R

• Fair and Private Clinical Modeling in R: A Two-Package Workflow

• Introducing lineagefreq: Tracking Pathogen Variant Dynamics in R

• Generating universes within universes with a single seed

• Interfacing with the FFIEC API to analyze U.S. bank Call Report data

Resources

• Working Smarter in R: Tips, Tricks & Real-World Lessons

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {mori} 0.1.0: Shared Memory for R Objects

• {notionapi} 0.2.0: A comprehensive Notion API client for R with sync and async support

• {lineagefreq} 0.2.0: Lineage Frequency Dynamics from Genomic Surveillance Counts

• {survinger} 0.1.1: Design-Adjusted Inference for Pathogen Lineage Surveillance

• {clinicalfair} 0.1.0: Algorithmic Fairness Assessment for Clinical Prediction Models

• {syntheticdata} 0.1.0: Synthetic Clinical Data Generation and Privacy-Preserving Validation

• {printify} 1.0.0: Custom Formatted Console Messages With Timing Support

GitHub

• {mypaintr}: Plot R graphics like a human

Updated Packages

🔍 Search on R-universe 🔍

• {qol} 1.3.0: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify

• {ggstatsplot} 1.0.0: ‘ggplot2’ Based Plots with Statistical Details - diffify

• {statsExpressions} 2.0.0: Tidy Dataframes and Expressions with Statistical Details - diffify

• {ggguides} 1.1.6: Simplified Legend and Guide Alignment for ‘ggplot2’ - diffify

• {GitStats} 2.5.1: Standardized Git Repository Data - diffify

• {vip} 0.4.6: Variable Importance Plots - diffify

• {ggforestplotR} 0.1.1: Publication-Ready Forest Plots with ‘ggplot2’ - diffify

• {SCIproj} 1.0.1: Creates a Scientific Project Skeleton as an R Package - diffify

• {ggplot2} 4.0.3: Create Elegant Data Visualisations Using the Grammar of Graphics - diffify

• {germinationmetrics} 0.1.10: Seed Germination Indices and Curve Fitting - diffify

• {geneticae} 1.0.1: Statistical Tools for the Analysis of Multi Environment Agronomic Trials - diffify

• {tidyprompt} 0.4.0: Prompt Large Language Models and Enhance Their Functionality - diffify

• {eulerr} 7.1.0: Area-Proportional Euler and Venn Diagrams with Ellipses - diffify

• {robustlmm} 3.4-3: Robust Linear Mixed Effects Models - diffify

• {nanoparquet} 0.5.1: Read and Write ‘Parquet’ Files - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

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

Grants & Funding

• New Value: increasing cost of UKRI research grants

Connect

Join the Data Science Learning Community

rtistry

Catching up #dataviz for #30dayChartChallenge Day5 Experimental. Which flower attracts which pollinator? 🌸🐝🦋 Played around with data from the UK Pollinator Monitoring Scheme. For bees or any pollinator plant some lavender, for butterflies go with buddleja aka butterfly bush. Made in Svelte + D3

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— Lisa Hornung (@lisahornung.bsky.social) 21 avril 2026 à 11:04

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Managed to find some time while travelling to do a little bit more work on this "generative streets" art system 🎨 #GenArtClub #GenerativeArt #RStats #ggplot2

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— Nicola Rennie (@nrennie.bsky.social) 15 avril 2026 à 15:19

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Quotes of the Week

dplyr::replace_when() and dplyr::recode_values() I am in you! The cognitive load and lines of code saved.... #rstats

— Jarrett Byrnes (@jebyrnes.bsky.social) 23 avril 2026 à 16:38

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