R Weekly 2025-W24 Containerizing Shiny, ggplot2 explorer, quickr package

09 Jun 2025

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

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

Highlight

• Containerizing Shiny Apps with {shiny2docker}: A Step-by-Step Guide

• ggplot2 layer explorer

• {quickr} 0.1.0: Compiler for R

Insights

• Apache Arrow, Rust, and cross-language data science

• Rethinking Image Formats

• #49: The Two Cultures of Deploying Statistical Software

• Which AI model writes the best R code?

R in the Real World

• Unmasking Long Covid: PCA & Clustering Analysis of Symptom Syndromes

R in Organizations

• New Mentoring Team, Same Open Science Spirit

• Introducing Portable Linux R Binary Packages

R in Academia

• Understanding Basis Spline (B-spline) By Working Through Cox-deBoor Algorithm

Resources

• The Modern R Stack for Production AI

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {quickr} 0.1.0: Compiler for R

• {Rdatasets} 0.0.1: Access Datasets from the Rdatasets Archive

• {AiES} 0.99.6: Axon Integrity Evaluation System for Microscopy Images

• {bssbinom} 1.0.0: Bayesian Sample Size for Binomial Proportions

• {musicMCT} 0.1.2: Analyze the Structure of Musical Scales

• {catool} 1.0.0: Compensation Analysis Tool for Instructor Overload Pay

• {tarchives} 0.1.0: Make Your ‘targets’ Pipelines into a Package

• {PulmoDataSets} 0.1.0: A Curated Collection of Pulmonary and Respiratory Disease Datasets

• {DigestiveDataSets} 0.1.0: A Curated Collection of Digestive System and Gastrointestinal Disease Datasets

• {jpinfect} 0.1.2: Acquiring and Processing Data from Japan Institute for Health Security

• {structenforcement} 0.1.3: Struct-Like Data Type Checking and Enforcement

• {chess2plyrs} 0.3.0: Chess Game Creation and Tools

• {statlingua} 0.1.0: Explain Statistical Output with Large Language Models

GitHub or Bitbucket

• {elmertools} - Collection of custom tool functions for ellmer as an R package

Updated Packages

🔍 Search on R-universe 🔍

• {JANE} 1.0.0: Just Another Latent Space Network Clustering Algorithm - diffify

• {photobiology} 0.13.0: Photobiological Calculations - diffify

• {nisrarr} 0.1.1: Download Data from the NISRA Data Portal - diffify

• {gsDesign2} 1.1.4: Group Sequential Design with Non-Constant Effect - diffify

• {treesitter} 0.3.0: Bindings to ‘Tree-Sitter’ - diffify

• {nettskjemar} 1.0.2: Connect to the ‘nettskjema.no’ API of the University of Oslo - diffify

• {curl} 6.3.0: A Modern and Flexible Web Client for R - diffify

• {brickster} 0.2.8: R Toolkit for ‘Databricks’ - diffify

• {GoMiner} 1.3: Automate the Mapping Between a List of Genes and Gene Ontology Categories - diffify

• {ClickHouseHTTP} 0.3.4: A Simple HTTP Database Interface to ‘ClickHouse’ - diffify

• {messydates} 0.5.4: A Flexible Class for Messy Dates - diffify

• {LearnNonparam} 1.2.9: ‘R6’-Based Flexible Framework for Permutation Tests - diffify

• {loggit2} 2.4.0: Easy-to-Use, Dependencyless Logger - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Shiny Apps

• ggplot2 layer explorer

Tutorials

• Using LLMs to explore and predict Simpson episode ratings

• Webscraping Part 1 – Static scraping

• Webscraping Part 2 – Dynamic scraping

• Handling large data with R and Python

• Beyond ARMA-GARCH: leveraging model-agnostic Machine Learning and conformal prediction for nonparametric probabilistic stock forecasting (ML-ARCH)

• Let It Flow: recreating a FACS plot with ggplot

• Containerizing Shiny Apps with {shiny2docker}: A Step-by-Step Guide

• How to Create a Matrix with Random Numbers in R: A Complete Guide

• 3MW ({dbplyr} combines the best of R & SQL)

• Tidyverse with GitHub Copilot for Healthcare Analytics – Part 1

R Project Updates

Updates from R Core:

Call for Participation

Post by @[email protected]

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Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

• Cascadia R Conf 2025 Watch Party

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

rtistry

Post by @[email protected]

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Quotes of the Week

May I present: the most appropriate use of the #rstats purrr library. KITTENS <- c("Da Vinci", "Curie") hello_from_cat <- function (cat) { paste0( "Hello World! My name is", cat, ". I am an adorable kitten! And my new family loves me.")} purrr::map(KITTENS, hello_from_cat)

[image or embed]

— Lucia Walinchus (@walinchus.bsky.social) Jun 2, 2025 at 1:37 PM