R Weekly 2025-W18 Which programming language, Posit's VS Code Extension, My Journey Learning with R

28 Apr 2025

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

Highlight

• Which programming language should I use? A guide for early-career researchers

• Reliable Shiny Code with Copilot and Posit’s VS Code Extension

• My Journey Learning R as a Humanities Undergrad

Insights

• Function Generators vs Partial Application in R

• World Economic Outlook by @ellis2013nz

• Sensitivity to C math library and mingw-w64 v12

• 3MW (Scalable Reporting with Quarto)

• Reliable Shiny Code with Copilot and Posit’s VS Code Extension

R in the Real World

• My Journey Learning R as a Humanities Undergrad

• Quarterly Round Up from the R Consortium

R in Organizations

• Posit Package Manager 2025.04.0: Level Up Your Package Security & Compliance

R in Academia

• Which programming language should I use? A guide for early-career researchers

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {IssueTrackeR} 1.1.1: List Things to Do
• {fastymd} 0.1.2: Fast Utilities for ‘Year Month Day’ Objects
• {FastHamming} 1.1: Fast Computation of Pairwise Hamming Distances
• {arcgis} 0.2.0: ArcGIS Location Services Meta-Package
• {schematic} 0.1.0: Tidy Schema Validation for Data Frames
• {typr} 0.0.1: Write and Render ‘Typst’ Documents Estimation

Updated Packages

🔍 Search on R-universe 🔍

• scales 1.4.0

• RQuantLib 0.4.26 on CRAN: Small Updates
• qlcal 0.0.15 on CRAN: Calendar Updates

• RInside 0.2.19 on CRAN: Mostly Maintenance

• {flexlsx} 0.3.5: Exporting ‘flextable’ to ‘xlsx’ Files - diffify
• {zippeR} 0.1.2: Working with United States ZIP Code and ZIP Code Tabulation Area Data - diffify
• {super} 0.1.1: Interpreted String Literals - diffify
• {GitStats} 2.3.1: Standardized Git Repository Data - diffify
• {GGIR} 3.2-6: Raw Accelerometer Data Analysis - diffify
• {crossmap} 0.4.2: Apply Functions to All Combinations of List Elements - diffify
• {openxlsx2} 1.15: Read, Write and Edit ‘xlsx’ Files - diffify
• {tiledb} 0.31.1: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays - diffify
• {editbl} 1.3.0: ‘DT’ Extension for CRUD (Create, Read, Update, Delete) Applications in ‘shiny’ - diffify
• {EnvStats} 3.1.0: Package for Environmental Statistics, Including US EPA Guidance - diffify
• {rix} 0.16.0: Reproducible Data Science Environments with ‘Nix’ - diffify
• {chromote} 0.5.1: Headless Chrome Web Browser Interface - diffify
• {webshot2} 0.1.2: Take Screenshots of Web Pages - diffify
• {flowchart} 0.8.0: Tidy Flowchart Generator - diffify
• {epiR} 2.0.82: Tools for the Analysis of Epidemiological Data - diffify
• {climate} 1.2.3: Interface to Download Meteorological (and Hydrological) Datasets - diffify
• {cli} 3.6.5: Helpers for Developing Command Line Interfaces - diffify
• {miniCRAN} 0.3.1: Create a Mini Version of CRAN Containing Only Selected Packages - diffify
• {rdeps} 0.3: Identify External Packages Used in a Project - diffify
• {linelist} 2.0.0: Tagging and Validating Epidemiological Data - diffify
• {ggdist} 3.3.3: Visualizations of Distributions and Uncertainty - diffify
• {rtables.officer} 0.1.0: Exporting Tools for ‘rtables’ - diffify
• {pivottabler} 1.5.6: Create Pivot Tables - diffify
• {shinydashboard} 0.7.3: Create Dashboards with ‘Shiny’ - diffify
• {threejs} 0.3.4: Interactive 3D Scatter Plots, Networks and Globes - diffify
• {diffobj} 0.3.6: Diffs for R Objects - diffify
• {gitr} 0.1.0: A Lightweight API for ‘Git’ - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• R-Ladies St. Louis - Git and Github for R Users
• Inside Novo Nordisk’s Path to Open Source for the Pharma and Beyond

R Internationally

• Data Engineering, Scientific Applications and AI - Inside R User Group Philippines’ Growth

Tutorials

• ‘Bayesian’ optimization of hyperparameters in a R machine learning model using the bayesianrvfl package
• A lightweight interface to scikit-learn in R: Bayesian and Conformal prediction

• A lightweight interface to scikit-learn in R Pt.2: probabilistic time series forecasting in conjunction with ahead::dynrmf

• Bollinger Bands: Invesco CoinShares ETF

• How to Return Value from a Function in R: A Complete Guide

R Project Updates

Updates from R Core:

Call for Participation

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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

• Shinyscholar – a template for producing reproducible analytic apps in R workshop

• Shiny Gathering - FDA Pilots: Key Insights, Lessons Learned, and What’s Next for 2025

• Non-Government Career Paths for U.S. Federal Data Scientists - Tuesday May 6, 2025

Connect

Join the Data Science Learning Community

rtistry

Image of Hachioji, Japan created in #rstats using data from #OpenStreetMap. pic.twitter.com/SJz3AgQVZW

— R City Views (@rcityviews) April 26, 2025

Quotes of the Week

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