Live
- 
            
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }} - {{ link.N }} ( {{ get_host(link.U) }} )
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }}( {{ get_host(link.U) }} )
 
            
        
{{ item.date }}
- 
            
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }} - {{ link.N }}
( {{ get_host(link.U) }} ){{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }}
( {{ get_host(link.U) }} ) 
            
        
R Weekly 2025-W38 R6 Interfaces, ggplot2
This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members and contributors.
Highlights
Insights
- ggplot2 4.0.0
 - Little useless-useful R functions – Markov babbler
 - R6 Interfaces For Backend: Define What, Not How
 - TidyDensity Update
 - Migrating from RStudio to Positron

 
R in the Real World
Resources

New Packages
CRAN
📦 Keep up to date wtih CRANberries 📦
- {rsamplr} 0.1.1: Sampling Algorithms and Spatially Balanced Sampling
 - {ivolcano} 0.0.1: Interactive Volcano Plot
 - {workspace} 0.1.5: Manage Collections of Datasets and Objects
 - {GPflexViz} 1.0.0: Graphical Visualizations Related to Genomic Prediction
 - {inshiny} 0.1.0: Compact Inline Widgets for ‘shiny’ Apps
 
Github only
- {tomorrow-night-bright-r-classic} 0.1.3: A Tomorrow Night Bright theme for Positron IDE and VS Code, inspired by RStudio IDE
 - {mutagen} 0.1.0: Extensions to dplyr’s mutate
 
Updated Packages
- {ggstatsplot} 0.13.2: ‘ggplot2’ Based Plots with Statistical Details - diffify
 - {purrrlyr} 0.0.10: Tools at the Intersection of ‘purrr’ and ‘dplyr’ - diffify
 - {dbplyr} 2.5.1: A ‘dplyr’ Back End for Databases - diffify
 - {rix} 0.17.2: Reproducible Data Science Environments with ‘Nix’ - diffify
 - {survivoR} 2.3.7: Data from all Seasons of Survivor (US) TV Series in Tidy Format - diffify
 - {santoku} 1.1.0: A Versatile Cutting Tool - diffify
 
Videos and Podcasts
Tutorials
R Project Updates
Updates from R Core:
Call for Participation
Upcoming Events in 3 Months
Events in 3 Months:
Connect
Join the Data Science Learning Community
rtistry
For this week's #TidyTuesday, hex grid maps showing seasonal shifts in frog observations across Australia Code: github.com/gkaramanis/t... #RStats #dataviz
— Georgios Karamanis (@karaman.is) 7 septembre 2025 à 18:13
[image or embed]
🎨 #Rtistry #GenArtClub #RStats #ggplot2
— Nicola Rennie (@nrennie.bsky.social) 8 septembre 2025 à 11:40
[image or embed]
Quotes of the Week
Oh, boy, I has missed this positron feature. You can link your github account and access PR and issues directly from the IDE. #RStats
— Elio Campitelli (@eliocamp.mastodon.social.ap.brid.gy) 12 septembre 2025 à 01:21
[image or embed]