R Weekly 2025-W04 flowcharts, data.table entry points, surface brain data

21 Jan 2025

• How to have (my) content shared by R Weekly?

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

Highlight

• Flowcharts made easy with the package {flowchart}
• Use of non-API entry points in data.table
• Intro to working with volume and surface brain data

Insights

• Transforming Academic Research with R in Santa Rosa, Argentina

• 2024 Posit Year in Review

• Some R Conferences for 2025

• Use of non-API entry points in data.table

• User-Friendly Technical Cookbook-Style CRAN Guide for New R Programmers Ready

R in the Real World

• Intro to working with volume and surface brain data

R in Academia

• stana: an R package for metagenotyping analysis and interactive application based on clinical data

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {windfarmGA} 4.0.0: Genetic Algorithm for Wind Farm Layout Optimization
• {tidyfit} 0.7.3: Regularized Linear Modeling with Tidy Data
• {unhcrdown} 0.6.0: UNHCR Branded Templates for R Markdown Documents
• {veesa} 0.1.6: Pipeline for Explainable Machine Learning with Functional Data
• {rtables.officer} 0.0.2: Exporting Tools for ‘rtables’
• {MonotonicityTest} 1.0: Nonparametric Bootstrap Test for Regression Monotonicity
• {zephyr} 0.1.0: Structured Messages and Options
• {chartreview} 1.0: Adaptive Multi-Wave Sampling for Efficient Chart Validation
• {SeedMaker} 1.0.0: Generate a Collection of Seeds from a Single Seed
• {duet} 0.1.1: Analysing Non-Verbal Communication in Dyadic Interactions from Video Data
• {smer} 0.0.1: Sparse Marginal Epistasis Test
• {SiFINeT} 1.13: Single Cell Feature Identification with Network Topology
• {qmj} 0.2.1: Quality Scores for the Russell 3000
• {sgapi} 1.0.3: Aid Querying ‘nomis’ and ‘Office for National Statistics Open Geography’ APIs
• {hhmR} 0.0.1: Hierarchical Heatmaps
• {pudu} 0.1.0: C++ Tools for Cleaning Strings
• {ggstackplot} 0.4: Create Overlapping Stacked Plots
• {bitstreamio} 0.1.0: Read and Write Bits from Files, Connections and Raw Vectors
• {BIS} 0.4: Programmatic Access to Bank for International Settlements Data
• {PLStests} 0.1.0: Model Checking for High-Dimensional GLMs via Random Projections
• {OpenRange} 0.0.1: Code to Access Open Access Species Range Maps
• {theorytools} 0.1.0: FAIR Theory Construction
• {pam} 1.0.1: Fast and Efficient Processing of PAM Data
• {ggmapcn} 0.1.2: Customizable China Map Visualizations
• {sequenceR} 1.0.1: A Simple Sequencer for Data Sonification
• {dfeR} 1.0.1: Common Department for Education Analysis Tasks
• {bnns} 0.1.2: Bayesian Neural Network with ‘Stan’
• {soilassessment} 0.3.0: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
• {quickPWCR} 1.2: Quickly Construct and Rate Large Binary Pairwised Comparisons
• {maraca} 0.7.1: The Maraca Plot: Visualizing Hierarchical Composite Endpoints
• {dietr} 1.1.6: Diet Estimated Trophic Levels
• {bitstreamio} 0.1.0: Read and Write Bits from Files, Connections and Raw Vectors
• {pam} 1.0.1: Fast and Efficient Processing of PAM Data
• {parttree} 0.1.0: Visualize Simple 2-D Decision Tree Partitions

GitHub or Bitbucket

• {susR} 0.0.2: Interface for Accessing the Open Data of Slovak Statistical Office via API

Updated Packages

🔍 Search on R-universe 🔍

• RcppFastFloat 0.0.5 on CRAN: New Upstream, Updates
• RProtoBuf 0.4.23 on CRAN: Mulitple Updates
• {colorrepel} 0.4.1: Repel Visually Similar Colors for Colorblind Users in Various Plots - diffify
• {rlang} 1.1.5: Functions for Base Types and Core R and ‘Tidyverse’ Features - diffify
• {soilDB} 2.8.7: Soil Database Interface - diffify
• {pak} 0.8.0.1: Another Approach to Package Installation - diffify
• {gridpattern} 1.3.1: ‘grid’ Pattern Grobs - diffify
• {raster} 3.6-31: Geographic Data Analysis and Modeling - diffify
• {bit64} 4.6.0-1: A S3 Class for Vectors of 64bit Integers - diffify
• {unhcrthemes} 0.6.3: UNHCR ‘ggplot2’ Theme and Colour Palettes - diffify
• {VisitorCounts} 2.0.3: Modeling and Forecasting Visitor Counts Using Social Media - diffify
• {accessr} 1.1.1: Command Line Tools to Produce Accessible Documents using ‘R Markdown’ - diffify
• {Factoshiny} 2.7: Perform Factorial Analysis from ‘FactoMineR’ with a Shiny Application - diffify
• {funkyheatmap} 0.5.1: Generating Funky Heatmaps for Data Frames - diffify
• {ggsem} 0.2.1: Interactively Visualize Structural Equation Modeling Diagrams - diffify
• {colorSpec} 1.6-0: Color Calculations with Emphasis on Spectral Data - diffify
• {streamDAG} 1.5-9: Analytical Methods for Stream DAGs - diffify
• {Rfast} 2.1.4: A Collection of Efficient and Extremely Fast R Functions - diffify
• {ssdtools} 2.2.0: Species Sensitivity Distributions - diffify
• {geomtextpath} 0.1.5: Curved Text in ‘ggplot2’ - diffify
• {parameters} 0.24.1: Processing of Model Parameters - diffify
• {mlr3verse} 0.3.1: Easily Install and Load the ‘mlr3’ Package Family - diffify
• {hommel} 1.8: Methods for Closed Testing with Simes Inequality, in Particular Hommel’s Method - diffify
• {fusen} 0.7.0: Build a Package from Rmarkdown Files - diffify
• {fdacluster} 0.4.1: Joint Clustering and Alignment of Functional Data - diffify
• {praatpicture} 1.4.0: ‘Praat Picture’ Style Plots of Acoustic Data - diffify
• {shinyStorePlus} 1.4: Secure in-Browser and Database Storage for ‘shiny’ Inputs, Outputs, Views and User Likes - diffify
• {worldmet} 0.9.9: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD) - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Unleash GIS Power: Create Jaw-Dropping REM Maps with Lidar Data in R!

Shiny Apps

• Share Your Shiny Expertise at ShinyConf 2025!

• Porting a Shiny App to Observable Framework: Part 1

Tutorials

• Fitting TabPFN models in R using reticulate

• Flowcharts made easy with the package {flowchart}

• 3MW (Using AI Functions With R & {ellmer})

• Efficient CI/CD: Balancing Automation with GxP Compliance

• Sending e-mails with {blastula}

• Bilingual Bluesky Sentiment

R Project Updates

Updates from R Core:

Call for Participation

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

• 116th Tokyo.R User Meetup

Connect

Join the Data Science Learning Community

• tidymodels Internship for 2025

rtistry

Day 17 of #genuary, Inspired by Islamic art #RStats code: github.com/gkaramanis/a... #genuary2024 #genuary17 #rtistry

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— Georgios Karamanis (@karaman.is) January 18, 2024 at 4:23 AM

Genuary 2025 Day 19: Op Art. 🎨 #Genuary #Genuary2025 #RStats #Rtistry #GenerativeArt #Genuary19

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— Nicola Rennie (@nrennie.bsky.social) January 19, 2025 at 7:17 PM

Exactly forty two lines of code. A secret code? A doctors notes? Or a hastily repurposed asemic writing system? Who knows. With 42 of the hackiest lines of #rstats code used to make it. gist.github.com/georgemsavva... #genuary3 #genuary2025 #genuary #mathart #rtistry #asemicwriting

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— George Savva (@georgemsavva.bsky.social) January 4, 2025 at 6:04 AM

Quotes of the Week

I'm just saying this is syntatically correct #rstats code

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— Robert (Bob) Kubinec (@rmkubinec.bsky.social) January 17, 2025 at 1:38 AM

#dataviz A customized grid pattern in #ggplot2 using {geofacet} to mimic approx. geogrpahic locations of entities.
Data: @openstreetmap @india_soi
Full code 🔗 https://t.co/FA7OnxBSHP
Tools #rstats #sf #ggplot2 #geofacet by @hafenstats pic.twitter.com/kI9lRIJnYC

— Aditya Dahiya (@AdityaDahiyaIAS) January 19, 2025

Do you have more than one column that uniquely identifies rows in your data? For example, - ID + Time - First Name + Last Name No problem, you can easily join data using multiple columns in #rstats, even if those columns have different names across datasets. cghlewis.com/blog/joins/

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— Crystal Lewis (@cghlewis.bsky.social) January 18, 2025 at 10:43 PM