R Weekly 2025-W20 R ecosystem, GitHub Actions weather, PIN code India

12 May 2025

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

Highlight

• Unlocking Zen: How R’s data analysis ecosystem outshines Python

• Use Github Actions to automatically update a weather graph every day

• Using data.gov.in data on PIN Code boundaries in India

Insights

• RStudio IDE and Posit Workbench 2025.05.0: What’s New

• Unlocking Zen: How R’s data analysis ecosystem outshines Python

• Evaluating the new Gemini 2.5 Pro update on R coding

R in the Real World

• Exploring Citi Bike usage in NYC with R and Quarto

• yfscreen: Yahoo Finance Screener in R and Python

• nsf grants terminated

R in Organizations

• Roaringly Acknowledge Organizations with ROR IDs in DESCRIPTION

• Optimizing GitHub Copilot for Rhino: Special Prompts for R Shiny Developers

R in Academia

• Mapping research landscapes and dynamics: Some basic bibliometric analyses with R

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {gglinedensity} 0.1.0: Make DenseLines Heatmaps with ‘ggplot2’
• {dockViewR} 0.1.0: Layout Manager Widget for R and ‘shiny’ Apps ++ {trustmebro} 1.0.0: Inspect and Clean Subject-Generated ID Codes and Related Data
• {DIETCOST} 1.0.0.0: Calculate the Cost and Environmental Impact of a Ideal Diet
• {TBA} 0.1.0: Collection of ‘shiny’ Apps for Tree Breeding Analysis
• {forensim} 4.3.3: Interpretation of Forensic DNA Mixtures
• {days2lessons} 0.1.2: Distributes Teachers Lessons On Days in a Balanced Manner
• {codestral} 0.0.1: Chat and FIM with ‘Codestral’
• {PartialNetwork} 1.1.0: Estimating Peer Effects Using Partial Network Data
• {gdm} 1.6.0-7: Generalized Dissimilarity Modeling
• {SFDesign} 0.1.0: Space-Filling Designs
• {libdeflate} 1.23.0: DEFLATE Compression Static Library and Headers
• {randomGODB} 1.0: Random GO Database+ {ggEDA} 0.1.0: Turnkey Visualisations for Exploratory Data Analysis
• {BioTrajectory} 1.0.0: Image Processing Tools for Barnes Maze Experiments
• {survivalsurrogate} 1.0: Evaluate a Longitudinal Surrogate with a Censored Outcome
• {RANSAC} 0.1.0: Robust Model Fitting Using the RANSAC Algorithm
• {dnafractal} 0.0.2: Generates a Fractal Image of a DNA Sequence
• {geotargets} 0.3.0: ‘targets’ Extensions for Geographic Spatial Formats
• {tidySummaries} 0.1.0: Tidy Statistical Summaries for Exploratory Data Analysis
• {AirportProblems} 0.1.0: Analysis of Cost Allocation for Airport Problems
• {spicy} 0.1.0: Descriptive Statistics and Data Management Tools
• {dissimilarities} 0.1.0: Creating, Manipulating, and Subsetting “dist” Objects

GitHub or Bitbucket

• {rAIutils}

Updated Packages

🔍 Search on R-universe 🔍

• {qtlcharts} 0.18: Interactive Graphics for QTL Experiments - diffify
• {nasaweather} 0.1.1: Collection of Datasets from the ASA 2006 Data Expo - diffify
• {ggstatsplot} 0.13.1: ‘ggplot2’ Based Plots with Statistical Details - diffify
• {generics} 0.1.4: Common S3 Generics not Provided by Base R Methods Related to Model Fitting - diffify
• {nixmass} 1.3.1: Snow Water Equivalent Modeling with the ‘Delta.snow’ and ‘HS2SWE’ Models and Empirical Regression Models - diffify
• {ggsurveillance} 0.4.0: Tools for Outbreak Investigation/Infectious Disease Surveillance - diffify
• {terra} 1.8-50: Spatial Data Analysis - diffify
• {RKaggle} 0.1.1: ‘Kaggle’ Dataset Downloader ‘API’ - diffify
• {duckplyr} 1.1.0: A ‘DuckDB’-Backed Version of ‘dplyr’ - diffify
• {targets} 1.11.3: Dynamic Function-Oriented ‘Make’-Like Declarative Pipelines - diffify
• {tidyfinance} 0.4.4: Tidy Finance Helper Functions - diffify
• {IP} 0.1.6: Classes and Methods for ‘IP’ Addresses - diffify
• {Ternary} 2.3.4: Create Ternary and Holdridge Plots - diffify
• {maptiles} 0.10.0: Download and Display Map Tiles - diffify
• {svglite} 2.2.0: An ‘SVG’ Graphics Device - diffify
• {dockerfiler} 0.2.5: Easy Dockerfile Creation from R - diffify
• {Andromeda} 1.0.0: Asynchronous Disk-Based Representation of Massive Data - diffify
• {parallelly} 1.44.0: Enhancing the ‘parallel’ Package - diffify
• {ggseqplot} 0.8.6: Render Sequence Plots using ‘ggplot2’ - diffify
• {FSA} 0.10.0: Simple Fisheries Stock Assessment Methods - diffify
• {RandomWalker} 0.3.0: Generate Random Walks Compatible with the ‘tidyverse’ - diffify
• {dotwhisker} 0.8.4: Dot-and-Whisker Plots of Regression Results - diffify
• {WINS} 1.5: The R WINS Package - diffify
• {readMDTable} 0.3.2: Read Markdown Tables into Tibbles - diffify
• {nanostringr} 0.6.1: Performs Quality Control, Data Normalization, and Batch Effect Correction for ‘NanoString nCounter’ Data - diffify
• {logrx} 0.4.0: A Logging Utility Focus on Clinical Trial Programming Workflows - diffify
• {ecotraj} 1.1.0: Ecological Trajectory Analysis - diffify
• {ROpenCVLite} 4.110.0: Helper Package for Installing OpenCV with R - diffify
• {heterocop} 0.1.1: Semi-Parametric Estimation with Gaussian Copula - diffify
• {hwsdr} 1.2: Interface to the ‘HWSD’ Web Services - diffify
• {tsna} 0.3.6: Tools for Temporal Social Network Analysis - diffify
• {ctrdata} 1.22.1: Retrieve and Analyze Clinical Trials Data from Public Registers - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Gist & Cookbook

• Use Github Actions to automatically update a weather graph every day

Shiny Apps

• Cancelled NSF Grants Dashboard

Tutorials

• uv, part 3: Python in R with reticulate: two demos with Hugging Face transformers and pyBigWig

• Replace NA in data.table: Replacing with 0 and Other Values

• Supercharge your R workflows with DuckDB

• Using data.gov.in data on PIN Code boundaries in India

• Estimating Causal Effects of Continuous Treatments

R Project Updates

Updates from R Core:

Call for Participation

Post by @[email protected]

View on Mastodon

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

• 118th Tokyo R Meetup: June 21st, 2025

• useR! 2025: August 8~10, 2025

Connect

Join the Data Science Learning Community

rtistry

"Generative Metropolis" Adapted from code at https://github.com/paulvanderlaken/generative-art See also https://marcusvolz.com/#generative-city Full R code in thread 👇 #rstats #generativeart

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— safest_integer (@safest-integer.mastodon.social.ap.brid.gy) May 5, 2025 at 7:23 AM

Quotes of the Week

I feel like my #Evolution students are not getting how natural selection on a polygenic quantitative trait can move the trait distribution far outside its original range, even absent new mutation -- so I made the following animation using #Rstats. pic.twitter.com/gbT9PEJjCn

— Liam Revell (@phytools_liam) April 22, 2025

Another day, another chance to use #rstats readr::parse_number() to remove character values and convert a variable to numeric.

[image or embed]

— Crystal Lewis (@cghlewis.bsky.social) May 9, 2025 at 6:06 AM

Wow, this talk-to-the-data #RStats dashboard of terminated #NSF grants is really something.

[image or embed]

— Noam Ross (@noamross.net) May 9, 2025 at 6:34 AM