R Weekly 2025-W12 Multilingual quarto docs, ellmer, cholera in 1854
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
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The ellmer package for using LLMs with R is a game changer for scientists
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{SnowData} 1.0.0: Historical Data from John Snow’s 1854 Cholera Outbreak Map
Insights
R in Organizations
R in Academia
Resources
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MAGA keyword screening tool: Tool built using Quarto and shinylive that allows you to analyze documents for specific MAGA-targeted keywords in response to this executive order. It is intended to be used to help identify words that might get screened by the federal government, e.g. in a grant proposal for federal funding.
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
- {deltatest} 0.1.0: Statistical Hypothesis Testing Using the Delta Method ( cran.r-project.org )
- {SnowData} 1.0.0: Historical Data from John Snow’s 1854 Cholera Outbreak Map
- {RcppDPR} 0.1.9: ‘Rcpp’ Implementation of Dirichlet Process Regression
- {golfr} 0.1.0: Group Assignment Tool
- {ggvfields} 1.0.0: Vector Field Visualizations with ‘ggplot2’
- {sourcoise} 0.5.0: Source a Script and Cache
- {RcensusPkg} 0.1.4: Easily Access US Census Bureau Survey and Geographic Data
- {ambiorix} 2.2.0: Web Framework Inspired by ‘Express.js’
- {cpp11tesseract} 5.3.5: Open Source OCR Engine
- {SeuratExplorer} 0.1.0: An ‘Shiny’ App for Exploring scRNA-seq Data Processed in ‘Seurat’
- {HARplus} 1.0.1: Enhanced R Package for ‘GEMPACK’ .har and .sl4 Files
- {cpam} 0.1.3: Changepoint Additive Models for Time Series Omics Data
- {CAOP.RAA.2024} 0.0.5: Official Administrative Map of the Azores (CAOP 2024)
- {ravepipeline} 0.0.1: Reproducible Pipeline Infrastructure for Neuroscience
- {VizTest} 0.3: Optimal Confidence Intervals for Visual Testing
- {JMbdirect} 0.1.0: Joint Model for Longitudinal and Multiple Time to Events Data
- {IVDML} 1.0.0: Double Machine Learning with Instrumental Variables and Heterogeneity
- {weatherOz} 2.0.0: An API Client for Australian Weather and Climate Data Resources
- {tabtibble} 0.0.1: Simplify Reporting Many Tables
- {clayringsmiletus} 1.0.2: Clay Stacking Rings Found in Miletus (Data)
- {brandr} 0.1.0: Brand Identity Management Using brand.yml Standard
- {geneNR} 1.0.1: Automated Gene Identification for Post-GWAS Analysis
GitHub or Bitbucket
- {quartabs} 0.1.0.9001: Dynamically generate tabset panels in Quarto HTML documents
- {gsapy} 0.0.0.9000: ‘Shiny’ interface for GSAP JavaScript animations
Updated Packages
- {httpgd} 2.0.3: A ‘HTTP’ Server Graphics Device - diffify
- {DemographicTable} 0.1.10: Creating Demographic Table - diffify
- {Rforestry} 0.11.1.0: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability - diffify
- {tzdb} 0.5.0: Time Zone Database Information - diffify
- {greenfeedr} 1.2.0: Process and Report ‘GreenFeed’ Data - diffify
- {ggalign} 1.0.0: A ‘ggplot2’ Extension for Consistent Axis Alignment - diffify
- {accessr} 1.1.2: Command Line Tools to Produce Accessible Documents using ‘R Markdown’ - diffify
- {rjsoncons} 1.3.2: Query, Pivot, Patch, and Validate ‘JSON’ and ‘NDJSON’ - diffify
- {blogdown} 1.21: Create Blogs and Websites with R Markdown - diffify
- {ScottKnott} 1.3-3: The ScottKnott Clustering Algorithm - diffify
- {RCzechia} 1.12.6: Spatial Objects of the Czech Republic - diffify
- {xml2} 1.3.8: Parse XML - diffify
- {ichimoku} 1.5.6: Visualization and Tools for Ichimoku Kinko Hyo Strategies - diffify
- {grateful} 0.2.11: Facilitate Citation of R Packages - diffify
- {mlr3} 0.23.0: Machine Learning in R - Next Generation - diffify
- {gemini.R} 0.9.2: Interface for ‘Google Gemini’ API - diffify
- {wordvector} 0.3.0: Word and Document Vector Models - diffify
- {hexfont} 1.0.0: ‘GNU Unifont’ Hex Fonts - diffify
- {depCensoring} 0.1.7: Statistical Methods for Survival Data with Dependent Censoring - diffify
- {ggeffects} 2.2.1: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs - diffify
- {versioning} 0.2.0: Settings and File I/O using a Configuration YAML File - diffify
- {ggblanket} 12.2.0: Simplify ‘ggplot2’ Visualisation - diffify
- {xmeta} 1.3.3: A Toolbox for Multivariate Meta-Analysis - diffify
- {ggstats} 0.9.0: Extension to ‘ggplot2’ for Plotting Stats - diffify
- {collapse} 2.1.0: Advanced and Fast Data Transformation - diffify
- {politeness} 0.9.4: Detecting Politeness Features in Text - diffify
- {rstan} 2.32.7: R Interface to Stan - diffify
- {uisapi} 0.1.0.9000: Access the UNESCO Institute for Statistics API - diffify
Videos and Podcasts
Shiny Apps
Tutorials
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The ellmer package for using LLMs with R is a game changer for scientists
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3MW (User-Specific Authentication for Quarto Projects on Azure Static Web Apps)
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
Mathematical art based on Hilbert curves. Made with R #mathart #math #creativecoding #codeart #rtistry
— George Savva (@georgemsavva.bsky.social) March 1, 2025 at 11:03 PM
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Quotes of the Week
The problem with #rstats is portability. Shit like `df$x` has to be converted to `df€x` in Europe and `df£x` in the UK but nobody talks about this.
— John Coene (@johncoene.bsky.social) March 14, 2025 at 9:42 PM
I was recently asked to create an Atlas of population diversity for major Spanish municipalities at the census tract level. Who else thinks bivariate maps + scatter plots are a powerhouse combo? Open to suggestions. #rstats #map #barcelona #diversity
— Juan Galeano (@juangaleano.bsky.social) March 15, 2025 at 11:55 PM
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Feels like air raid alerts in Kyiv are nightly. I checked: since the year’s start, only 13 nights were free of alerts, and each lasts about 131 minutes on average. Let’s see how the ceasefire goes, but meanwhile, please donate to air defense, links in the next reply. #UaView #RStats
— Dariia Mykhailyshyna (@dariia.bsky.social) March 13, 2025 at 12:47 AM
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