R Weekly 2024-W50 R-Universe Funding, Positron, AI for Shiny

09 Dec 2024

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

Highlight

• R-Universe Named R Consortium’s Newest Top Level Project

• Positron vs RStudio - is it time to switch?

• Summer is Coming: AI for Shiny, R, and Pharma

Insights

• R-Universe Named R Consortium’s Newest Top Level Project

• Positron vs RStudio - is it time to switch?

• Quantitative Analysis: NVIDIA

• Bachet’s Four Weights Problem

• posit::glimpse() Newsletter – December 2024

R in the Real World

• Politely mapping recommended travel vaccines

• Modernizing Clinical Trial Design and Analysis to Improve Efficiency & Flexibility

• {SLmetrics}: Machine Learning performance evaluation on steroids

• Predicting Best Picture at the 2025 Academy Awards

R in Organizations

• How Good Automated Testing Supports GxP Compliance in Software Development

• GSK x Posit Live Event November 2024 Q&A

R in Academia

• Empowering Girls in Data Science: The R-Girls-School Network Initiative

Resources

• A Book Dash for the R Development Guide

• Advent of Code with data.table: Week One

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• Introducing the {messy} package

• Introducing {samplezoo}

• {tablespan} 0.1.7: Create Satisficing ‘Excel’, ‘HTML’, ‘LaTeX’, and ‘RTF’ Tables using a Simple Formula

• {qcluster} 1.2: Clustering via Quadratic Scoring

• {PhenotypeR} 0.1.0: Assess Study Cohorts Using a Common Data Model

• {sooty} 0.1.0: Data Source Catalogues Online for Southern Ocean Ecosystem Research

• {robqda} 1.0: Robust Quadratic Discriminant Analysis

• {RegDDM} 1.0: Generalized Linear Regression with DDM

• {rectpacker} 1.0.0: Rectangle Packing

• {recforest} 1.0.0: Random Survival Forest for Recurrent Events

• {RapidFuzz} 1.0: String Similarity Computation Using ‘RapidFuzz’

• {mixedbiastest} 0.2.1: Bias Diagnostic for Linear Mixed Models

• {MIGEE} 0.1.0: Impute Missing Values and Fitting Linear Mixed Effect Model

• {iclogcondist} 1.0.1: Log-Concave Distribution Estimation with Interval-Censored Data

• {GVS} 0.0.1: ‘Geocoordinate Validation Service’

• {GOLDprice} 0.1.0: Gold Price Data

• {GDILM.SEIRS} 0.0.1: Spatial Individual Level Modeling of Infectious Disease Transmission with Reinfection Dynamics

• {ErlangC} 0.1.0: Solve Erlang-C Model

• {educationR} 0.1.0: A Comprehensive Collection of Educational Datasets

• {drhutools} 1.0.0: Political Science Academic Research Gears

• {BayesianFitForecast} 1.0.0: Bayesian Parameter Estimation and Forecasting for Epidemiological Models

• {airship} 1.4.3: Visualization of Simulated Datasets with Multiple Simulation Input Dimensions

• {wooldridge} 1.4-4: 115 Data Sets from “Introductory Econometrics: A Modern Approach, 7e” by Jeffrey M. Wooldridge

• {iClusterVB} 0.1.3: Fast Integrative Clustering and Feature Selection for High Dimensional Data

• {aphylo} 0.3-4: Statistical Inference and Prediction of Annotations in Phylogenetic Trees

• {extractox} 0.1.0: Extract Tox Info from Various Databases

• {csmGmm} 0.3.0: Conditionally Symmetric Multidimensional Gaussian Mixture Model

• {basicspace} 0.25: Recovering a Basic Space from Issue Scales

• {sshicm} 0.1.0: Information Consistency-Based Measures for Spatial Stratified Heterogeneity

• {resourcecode} 0.2.1: Access to the ‘RESOURCECODE’ Hindcast Database

• {RCNA} 1.0: Robust Copy Number Alteration Detection (RCNA)

• {gtfs2emis} 0.1.1: Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data

• {atime} 2024.11.29: Asymptotic Timing

• {wdiEF} 1.0.2: Calculation of the Water Deficit Index (WDI) and the Evaporative Fraction (EF) on Rasters

• {twc} 0.0.1: Terrestrial Water Cycle

• {sffdr} 1.0.0: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies

• {scR} 0.1.0: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity

• {SAKERNAS} 0.1.0: A National Labor Force Survey of Indonesia

• {RCMsize} 1.0.0: Sample Size Calculation in Reversible Catalytic Models

• {pipeflow} 0.2.1: Lightweight, General-Purpose Data Analysis Pipelines

• {MEDesigns} 1.0.0: Mating Environmental Designs

• {ldmppr} 1.0.3: Estimate and Simulate from Location Dependent Marked Point Processes

• {ILRCM} 0.1.0: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering

• {IDLFM} 0.0.2: Individual Dynamic Latent Factor Model

• {gfoRmulaICE} 0.1.0: Parametric Iterative Conditional Expectation G-Formula

• {crimedatasets} 0.1.0: A Comprehensive Collection of Crime-Related Datasets

• {orthGS} 0.1.6: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants

• {antaresViz} 0.18.3: Antares Visualizations

GitHub or Bitbucket

• froggeR - Enhance Quarto project workflows and standards

• peeky - Download and extract Shinylive applications

Updated Packages

🔍 Search on R-universe 🔍

• RcppArmadillo 14.2.2-1 on CRAN: Small Upstream Fixes

• corels 0.0.5 on CRAN: Maintenance

• anytime 0.3.10 on CRAN: Multiple Enhancements

• {crandep} 0.3.11: Network Analysis of Dependencies of CRAN Packages - diffify

• {sfnetworks} 0.6.5: Tidy Geospatial Networks - diffify

• {rstanemax} 0.1.7: Emax Model Analysis with ‘Stan’ - diffify

• {rollama} 0.2.0: Communicate with ‘Ollama’ to Run Large Language Models Locally - diffify

• {textshaping} 0.4.1: Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text Shaping - diffify

• {shinyStorePlus} 1.3: Secure in-Browser and Database Storage for ‘shiny’ Inputs, Outputs, Views and User Likes - diffify

• {rpostgis} 1.6.0: R Interface to a ‘PostGIS’ Database - diffify

• {cowsay} 1.0.0: Messages, Warnings, Strings with Ascii Animals - diffify

• {geostan} 0.8.1: Bayesian Spatial Analysis - diffify

• {pharmr} 1.4.0: Interface to the ‘Pharmpy’ ‘Pharmacometrics’ Library - diffify

• {parallelly} 1.40.1: Enhancing the ‘parallel’ Package - diffify

• {simdata} 0.4.1: Generate Simulated Datasets - diffify

• {bit} 4.5.0.1: Classes and Methods for Fast Memory-Efficient Boolean Selections - diffify

• {mongolite} 2.8.2: Fast and Simple ‘MongoDB’ Client for R - diffify

• {apache.sedona} 1.7.0: R Interface for Apache Sedona - diffify

• {container} 1.0.5: Extending Base ‘R’ Lists - diffify

• {fastplyr} 0.5.0: Fast Alternatives to ‘tidyverse’ Functions - diffify

Videos and Podcasts

• Summer is Coming: AI for Shiny, R, and Pharma

• DuckDB and duckplyr: An in-process database management system in your R script

• Explore Real-World hospital Electronic Health Records data with {ggehr}

• A Tour of the Haunted Places Quiz Shiny App

• Listen to the R-Weekly Highlights Podcast

Shiny Apps

• targetsboard - A GUI to {targets}

• R Sidebot: How to Add an LLM Assistant to Your R Shiny Apps

• Which Library Should You Choose To Acceptance Test Shiny Apps?

Tutorials

• Use meta shortcode variables with Quarto Includes to insert precise content

• Posting to Bluesky from R

• Apple Music Wrapped with R

• Spatial correlation between rasters using ‘terra’

• How to Find Columns with All Missing Values in Base R

• How to Find and Count Missing Values in R: A Comprehensive Guide with Examples

• How to Replace Missing Values in R: A Comprehensive Guide

• 3MW (Chatting with LLMs With R & {elmer})

• Time Series Forecasting in R: Forecasting with Supervised Machine Learning Models

R Project Updates

Updates from R Core:

• Faster downloads

Call for Participation

• posit::conf(2025) in-person registration is now open!

• ShinyConf 2025 Call for Speakers

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

Connect

Join the Data Science Learning Community

rtistry

Day 30: The Final Map! 🐍 Rattlesnake venom lectin (1muq), a galactose-specific C-type lectin, visualized in 3D. Went deep into micromapping, and it paid off! Big thanks to & the {raymolecule} R package. #30DayMapChallenge #Micromapping 🧬✨

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— Brooks Groves (@bdgroves.bsky.social) December 6, 2024 at 7:27 PM

Post by @[email protected]

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Quotes of the Week

What is the most annoying thing in R? I will go first - functions with upper case letters, such as the View function 🤦🏻‍♂️ #RStats

— Rami Krispin (@ramikrispin.bsky.social) December 2, 2024 at 5:27 PM

Post by @[email protected]

View on Mastodon

Just realized the bluesky may not be aware that you can access dad jokes (via the icanhazdadjoke API) directly in #rstats with the {dadjokeapi} 📦!

[image or embed]

— Jeff Hollister (@jhollist.bsky.social) December 5, 2024 at 7:42 AM