R Weekly 2023-W47 httr2 1.0.0, Road to Building Ten Million Binaries, How to Get Good with R

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Hello and welcome to this new issue!

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

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

Highlight

• httr2 1.0.0

• The Road to Building Ten Million Binaries

• How to Get Good with R?

Insights

• The Road to Building Ten Million Binaries

• The current introduction to my package development workshops

• Lesser-known reasons to prefer apply() over for loops

• Reading notes on Git in Practice by Mike McQuaid

• Three ways errors are about to get better in tidymodels

• httr2 1.0.0

• Odds Are You’re Using Probabilities to Describe Event Outcomes

• FAQs on mixed-effects models

• How to Simulate & Plot a Bivariate Normal Distribution in R: A Hands-on Guide

• Classed conditions from rlang functions

• An Upcoming Change in the TinyTeX Installation Path on Windows

• Zoom-Zoom release of quarto-webr extension adds improved support for RevealJS

• {shiny.telemetry}: Enhanced User Behavior Analytics in R/Shiny Dashboards

• R lubridate: How To Efficiently Work With Dates and Times in R

• Unlocking the Power of Functional Programming in R (Part 3): Advanced Techniques & Practical Applications

• How to Get Good with R?

R in the Real World

• Taylor’s Towering Year

• R-universe now builds WASM binaries for all R packages

• Dive Into R: Collaborate with the Indy UserR Group as a Newsletter Contributor!

• mlsauce version 0.8.10: Statistical/Machine Learning with Python and R

• Accelerating Drug Discovery: Machine Learning for Protein Crystal Detection

R in Organizations

• The rOpenSci Multiverse

• Pfizer Leaders Discuss the Adoption of Open Source, Predominantly R, in Clinical Trial Reporting

R in Academia

• Does birth order matter?

• FAIR standards for the creation of research materials, with examples

• Subgroup detection in linear growth curve models

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {earthdatalogin} 0.0.1: NASA ‘EarthData’ Login Utilities
• {actLifer} 1.0.0: Creating Actuarial Life Tables
• {epiphy} 0.5.0: Analysis of Plant Disease Epidemics
• {textrecipes} 1.0.6: Extra ‘Recipes’ for Text Processing
• {epitweetr} 2.2.16: Early Detection of Public Health Threats from ‘Twitter’ Data
• {aeddo} 0.1.0: Automated and Early Detection of Disease Outbreaks
• {versus} 0.1.0: Compare Data Frames
• {gutenbergr} 0.2.4: Download and Process Public Domain Works from Project Gutenberg

• {bskyr} 0.0.4: Interact with ‘Bluesky’ Social

• spatialsample 0.5.0 is now on CRAN

• {rosv} 0.4.2: Client to Access and Operate on the ‘Open Source Vulnerability’ API
• {wordbankr} 1.0.2: Accessing the Wordbank Database
• {Spectran} 1.0.3: Visual and Non-Visual Spectral Analysis of Light
• {qeML} 1.1: Quick and Easy Machine Learning Tools
• {filecacher} 0.2.4: File Cacher
• {rsleep} 1.0.10: Analysis of Sleep Data
• {DOYPAColors} 0.0.1: Don’t Overthink Your Palette of Colors
• {phsmethods} 1.0.0: Standard Methods for Use in Public Health Scotland

Updated Packages

🔍 Search on R-universe 🔍

• {SAMtool} 1.6.3: Stock Assessment Methods Toolkit - diffify
• {shiny} 1.8.0: Web Application Framework for R - diffify
• {pak} 0.7.0: Another Approach to Package Installation - diffify
• {gtreg} 0.3.0: Regulatory Tables for Clinical Research - diffify
• {dplyr} 1.1.4: A Grammar of Data Manipulation - diffify
• {ggquiver} 0.3.3: Quiver Plots for ‘ggplot2’ - diffify
• {duckdb} 0.9.2: DBI Package for the DuckDB Database Management System - diffify
• {vetiver} 0.2.5: Version, Share, Deploy, and Monitor Models - diffify
• {shiny.telemetry} 0.2.0: ‘Shiny’ App Usage Telemetry - diffify
• {clinicalsignificance} 2.0.0: A Toolbox for Clinical Significance Analyses in Intervention Studies - diffify
• {arrow} 14.0.0: Integration to ‘Apache’ ‘Arrow’ - diffify
• {mirai} 0.11.2: Minimalist Async Evaluation Framework for R - diffify
• {rclipboard} 0.2.1: Shiny/R Wrapper for ‘clipboard.js’ - diffify
• {ggpmisc} 0.5.5: Miscellaneous Extensions to ‘ggplot2’ - diffify
• {stringr} 1.5.1: Simple, Consistent Wrappers for Common String Operations - diffify
• {httr2} 1.0.0: Perform HTTP Requests and Process the Responses - diffify
• {periscope2} 0.1.4: Enterprise Streamlined ‘shiny’ Application Framework Using ‘bs4Dash’ - diffify
• {errorist} 0.1.2: Automatically Search Errors or Warnings - diffify
• {leaflet} 2.2.1: Create Interactive Web Maps with the JavaScript ‘Leaflet’ Library - diffify
• {PatientProfiles} 0.5.0: Identify Characteristics of Patients in the OMOP Common Data Model - diffify
• {constructive} 0.2.0: Display Idiomatic Code to Construct Most R Objects - diffify
• {stringi} 1.8.1: Fast and Portable Character String Processing Facilities - diffify
• {dockerfiler} 0.2.2: Easy Dockerfile Creation from R - diffify
• {diyar} 0.5.1: Record Linkage and Epidemiological Case Definitions in ‘R’ - diffify
• {refinr} 0.3.3: Cluster and Merge Similar Values Within a Character Vector - diffify
• {ranger} 0.16.0: A Fast Implementation of Random Forests - diffify
• {data.tree} 1.1.0: General Purpose Hierarchical Data Structure - diffify
• {crosstable} 0.7.0: Crosstables for Descriptive Analyses - diffify
• {collapse} 2.0.6: Advanced and Fast Data Transformation - diffify

• {politeness} 0.9.3: Detecting Politeness Features in Text - diffify

• RcppEigen 0.3.3.9.4 on CRAN: Maintenance, Matrix Changes

• {nanonext} 0.10.4: R binding for NNG (Nanomsg Next Gen). NNG is a high-performance socket library implementing common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports.

• {ggplate} 0.1.0: Create Layout Plots of Biological Culture Plates and Microplates - diffify
• {pkgdepends} 0.7.0: Package Dependency Resolution and Downloads - diffify
• {ggblanket} 5.2.0: Simplify ‘ggplot2’ Visualisation - diffify
• {packageRank} 0.8.3: Computation and Visualization of Package Download Counts and Percentiles - diffify
• {mosaic} 1.9.0: Project MOSAIC Statistics and Mathematics Teaching Utilities - diffify
• {texreg} 1.39.3: Conversion of R Regression Output to LaTeX or HTML Tables - diffify
• {logr} 1.3.5: Creates Log Files - diffify
• {vivainsights} 0.5.0: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify
• {pins} 1.3.0: Pin, Discover and Share Resources - diffify
• {reproducible} 2.0.9: Enhance Reproducibility of R Code - diffify
• {vaultr} 1.2.0: Vault Client for Secrets and Sensitive Data - diffify
• {ggformula} 0.12.0: Formula Interface to the Grammar of Graphics - diffify
• {downloadthis} 0.3.3: Implement Download Buttons in ‘rmarkdown’ - diffify
• {adobeanalyticsr} 0.4.0: R Client for ‘Adobe Analytics’ API 2.0 - diffify
• {covr} 3.6.4: Test Coverage for Packages - diffify
• {text2vec} 0.6.4: Modern Text Mining Framework for R - diffify
• {crimedata} 0.3.5: Access Crime Data from the Open Crime Database - diffify
• {REDCapTidieR} 1.0.0: Extract ‘REDCap’ Databases into Tidy ‘Tibble’s - diffify
• {duckplyr} 0.2.3: A ‘DuckDB’-Backed Version of ‘dplyr’ - diffify
• {Rdpack} 2.6: Update and Manipulate Rd Documentation Objects - diffify
• {ggpp} 0.5.5: Grammar Extensions to ‘ggplot2’ - diffify
• {zenplots} 1.0.6: Zigzag Expanded Navigation Plots - diffify
• {httptest2} 1.0.0: Test Helpers for ‘httr2’ - diffify
• {countries} 1.1.1: Deal with Country Data in an Easy Way - diffify
• {lintr} 3.1.1: A ‘Linter’ for R Code - diffify
• {octopus} 0.4.1: A Database Management Tool - diffify
• {lifecycle} 1.0.4: Manage the Life Cycle of your Package Functions - diffify
• {jsTreeR} 2.4.0: A Wrapper of the JavaScript Library ‘jsTree’ - diffify
• {periscope} 1.0.4: Enterprise Streamlined ‘Shiny’ Application Framework - diffify
• {taylor} 3.0.0: Lyrics and Song Data for Taylor Swift’s Discography - diffify
• {stacks} 1.0.3: Tidy Model Stacking - diffify
• {drake} 7.13.8: A Pipeline Toolkit for Reproducible Computation at Scale - diffify
• {rtoot} 0.3.3: Collecting and Analyzing Mastodon Data - diffify
• {mlflow} 2.8.0: Interface to ‘MLflow’ - diffify
• {mirai.promises} 0.4.0: Make ‘Mirai’ ‘Promises’ - diffify
• {rprojroot} 2.0.4: Finding Files in Project Subdirectories - diffify Fault Detection - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Reproducible R development on Github Actions with Nix

• Ben Arancibia @ GSK - Data Science Hangout

• webR 0.2 Overview: R in the browser - George Stagg - Posit

• Shiny + JavaScript - Scroll to top button using HTML, CSS and JS for basic shiny & bslib layouts

• How to use GitHub Copilot and ChatGPT in RStudio - get setup in less than 5 minutes!

• Advanced Shiny - Running Multiple Linked Shiny Apps - TidyX Episode 164

• Creating Player url links in datatable and Shiny - TidyX Episode 163

• Data Cleaning with the tidyverse (by Statistics Globe)

• Create Donut and Pie Charts with ggplot (Only Sometimes Please)

R Internationally

• Highlights from R-Ladies Paris Hybrid Meetup Empowering Community Outreach

• SatRdays London 2024

Tutorials

• Print Debugging (Now with Icecream!)

• Let’s talk attention in Transformers

• Simulating Phylogenetically Structured Networks*

• Logistic regression modeling for #TidyTuesday US House Elections

• Incorporating Historical Control Data Into an RCT

• Bad map

• Clustering points to polygons

• OSM Guadeloupe trail relation

• Lynx from GBIF

• Builld Your First App With Shiny – R Shiny Tutorial For Beginners

• Harnessing AI in R and Python - Gather data with ChatGPT

• Demystifying Data: A Comprehensive Guide to Calculating and Plotting Cumulative Distribution Functions (CDFs) in R
• Introducing TidyDensity’s New Powerhouse: The convert_to_ts() Function
• Fitting a Distribution to Data in R

• Understanding the Triangular Distribution and Its Application in R

• Quadratic Regression in R: Unveiling Non-Linear Relationships
• {healthyR.ts} New Features: Unlocking More Power
• How to Perform Multiple Linear Regression in R
• How to Predict a Single Value Using a Regression Model in R

• Unlocking the Power of Prediction Intervals in R: A Practical Guide

• 3MW (Cleaning web-scraped tables)

• 3MW (Combine R & Python)

• How to Change Fonts in ggplot2 with Google Fonts

• A classifier that’s very accurate (and deep)

• Publish a Quarto website with Netlify

R Project Updates

Updates from R Core:

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

• OxfordRUG November 2023 - Making Christmas cards with R - online

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

#30DayMapChallenge: Day 18: Atmosphere. Air quality of Europe from 2017 to 2021, measured as spatial estimates of PM10, PM2.5, Ozone, NO2, and NOx. Higher values correspond to worse air quality.#rayshader adventures, an #rstats tale pic.twitter.com/z2wzXOxedX

— tterence on bsky (@researchremora) November 18, 2023

A very quick #TidyTuesday using {ggsankey} this week to visualise Diwali sales data, breaking down customers into different segments! #RStats #R4DS #DataViz pic.twitter.com/x59XFAl5uy

— Nicola Rennie | @[email protected] (@nrennie35) November 14, 2023

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