R Weekly 2026-W13

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

Highlight

Insights

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R in the Real World

stats19 v4.0.0: 45 Years of UK Road Crash Data, Unified

R in Organizations

Tutorials

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New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{SCIproj} 1.0.0: Creates a Scientific Project Skeleton as an R Package
{unsurv} 0.5.0: Unsupervised Clustering of Individualized Survival Curves
{causalplot} 0.2.1: Create Publication-Ready Causal Diagrams
{MultiSpline} 0.1.1: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data
{marimekko} 0.1.0: Marimekko Plots for ‘ggplot2’
{essentialstools} 0.1.2: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
{jumble} 0.1.0: A Discrete Colour Palette
{dormancy} 0.1.0: Detection and Analysis of Dormant Patterns in Data

Updated Packages

🔍 Search on R-universe 🔍

{EpiForsk} 0.2.1: Code Sharing at the Department of Epidemiology Research at Statens Serum Institut - diffify
{misha} 5.6.6: Toolkit for Analysis of Genomic Data - diffify
{paar} 1.0.2: Precision Agriculture Data Analysis - [diffify](https://diffify.com/R/paar
{bolasso} 0.5.0: Model Consistent Lasso Estimation Through the Bootstrap - diffify
{ggpop} 1.7.1: Icon-Based Population Charts and Plots for ‘ggplot2’ - diffify
{sumvar} 0.2.0: Summarise and Explore Continuous, Categorical and Date Variables - diffify
{futurize} 0.2.0: Parallelize Common Functions via One Magic Function - diffify
{xgboost} 3.2.1.1: Extreme Gradient Boosting - diffify
{ggrepel} 0.9.8: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’ - diffify
{PublicationBiasBenchmark} 0.2.0: Benchmark for Publication Bias Correction Methods - diffify

Videos and Podcasts

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R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

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Datasets

{readnoaa} 0.1.1: Access ‘NOAA’ Climate and Weather Data
{icecdr} 1.0.0: Download Sea Ice Concentration Data from the NSIDC Climate Data Record

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Join the Data Science Learning Community

rtistry

#ggtree has a relatively steep learning curve. But after looking at a few Python alternatives eg., toytree, ETE, Bio.Phylo it's hard to match its layout versatility. 21 tree variants with just a few lines of code. #rstats #phylogenetics #bioinformatics`

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You should try {targets}, they say... It will make your workflow more organised, they say... (joking aside, {targets} is an amazing package!!! I am super happy to be using it on my projects) #Rstats #targets`

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Quotes of the Week

Hmmm... The variable name needs more T's #rstats`

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— Peter Gray (`<a href="https://bsky.app/profile/did:plc:rsl6s6dvvb62lcgpgerqtau5?ref_src=embed"`{=html}@pgdataviz.bsky.social</a>) `<a href="https://bsky.app/profile/did:plc:rsl6s6dvvb62lcgpgerqtau5/post/3mhg5eoahos2f?ref_src=embed"`{=html}19 mars 2026 à 14:49</a>

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