R Weekly 2024-W18

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

Highlight

Insights

• What’s new in R 4.4.0?

• Can Money Really Buy Happiness? Or How to Lie with Statistics in Science

R in the Real World

• Bridging Gaps: Tunis R User Group’s Journey in Democratizing R in Bioinformatics

R in Organizations

R in Academia

• Prehistoric: when do authors preprint their papers?

• Proportional Odds Model Power Calculations for Ordinal and Mixed Ordinal/Continuous Outcomes

• Grammar as a biometric for Authorship Verification

Resources

• Move beyond OLS!

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {adepro} 4.1.0: A ‘shiny’ Application for the (Audio-)Visualization of Adverse Event Profiles
• {sqltargets} 0.0.1: Targets Extension for ‘SQL’ Queries
• {plotcli} 0.1.0: Command Line Interface Plotting
• {mlr3summary} 0.1.0: Model and Learner Summaries for ‘mlr3’
• {prediction} 0.3.17: Tidy, Type-Safe ‘prediction()’ Methods
• {BayesSurvive} 0.0.1: Bayesian Survival Models for High-Dimensional Data
• {tidylda} 0.0.5: Latent Dirichlet Allocation Using ‘tidyverse’ Conventions

• {donutsk} 0.1.1: Construct Advanced Donut Charts

• {CreditRisk} 0.1.7: Evaluation of Credit Risk with Structural and Reduced Form
• {yodel} 1.0.0: A General Bayesian Model Averaging Helper

Bioconductor

GitHub or Bitbucket

Updated Packages

🔍 Search on R-universe 🔍

• RcppSpdlog 0.0.17 on CRAN: New Upstream

• RQuantLib 0.4.22 on CRAN: Maintenance

• Q1 2024 tidymodels digest

• News from the sparkly-verse

• {emayili} Support for Mailtrap

• {dndR} 1.3.1: Dungeons & Dragons Functions for Players and Dungeon Masters - diffify
• {tth} 4.16-0: TeX-to-HTML/MathML Translators TtH/TtM - diffify
• {csdata} 2024.4.26: Structural Data for Norway - diffify
• {breakfast} 2.4: Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation - diffify
• {TidyDensity} 1.4.0: Functions for Tidy Analysis and Generation of Random Data - diffify
• {apcluster} 1.4.13: Affinity Propagation Clustering - diffify
• {imager} 1.0.1: Image Processing Library Based on ‘CImg’ - diffify
• {arulesViz} 1.5.3: Visualizing Association Rules and Frequent Itemsets - diffify
• {UBCRM} 1.0.3: Simulate and Conduct Dose-Escalation Phase I Studies - diffify
• {stplanr} 1.2.0: Sustainable Transport Planning - diffify
• {RcppSpdlog} 0.0.17: R and C++ Interfaces to ‘spdlog’ C++ Header Library for Logging - diffify
• {LearnPCA} 0.3.4: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) - diffify
• {runMCMCbtadjust} 1.1.0: Runs Monte Carlo Markov Chain - With Either ‘JAGS’, ‘nimble’ or ‘greta’ - While Adjusting Burn-in and Thinning Parameters - diffify
• {RepeatedHighDim} 2.3.0: Methods for High-Dimensional Repeated Measures Data - diffify
• {fs} 1.6.4: Cross-Platform File System Operations Based on ‘libuv’ - diffify
• {stringmagic} 1.1.1: Character String Operations and Interpolation, Magic Edition - diffify
• {xopen} 1.0.1: Open System Files, ‘URLs’, Anything - diffify
• {webfakes} 1.3.1: Fake Web Apps for HTTP Testing - diffify
• {RStoolbox} 1.0.0: Remote Sensing Data Analysis - diffify
• {debugme} 1.2.0: Debug R Packages - diffify
• {chevron} 0.2.6: Standard TLGs for Clinical Trials Reporting - diffify
• {causact} 0.5.5: Fast, Easy, and Visual Bayesian Inference - diffify
• {cranlike} 1.0.3: Tools for ‘CRAN’-Like Repositories - diffify
• {clinDataReview} 1.5.1: Clinical Data Review Tool - diffify
• {cliapp} 0.1.2: Create Rich Command Line Applications - diffify
• {brio} 1.1.5: Basic R Input Output - diffify
• {mongolite} 2.8.0: Fast and Simple ‘MongoDB’ Client for R - diffify
• {xslt} 1.4.5: Extensible Style-Sheet Language Transformations - diffify
• {SimDesign} 2.15.1: Structure for Organizing Monte Carlo Simulation Designs - diffify
• {crew.cluster} 0.3.1: Crew Launcher Plugins for Traditional High-Performance Computing Clusters - diffify
• {ShinyItemAnalysis} 1.5.1: Test and Item Analysis via Shiny - diffify
• {spc} 0.6.8: Statistical Process Control – Calculation of ARL and Other Control Chart Performance Measures - diffify
• {survival} 3.6-4: Survival Analysis - diffify
• {AgroR} 1.3.6: Experimental Statistics and Graphics for Agricultural Sciences - diffify
• {flightsbr} 0.4.1: Download Flight and Airport Data from Brazil - diffify
• {emayili} 0.8.0: Send Email Messages - diffify
• {randtests} 1.0.2: Testing Randomness in R - diffify
• {labelled} 2.13.0: Manipulating Labelled Data - diffify
• {grattanInflators} 0.5.3: Inflators for Australian Policy Analysis - diffify
• {SIAmodules} 0.1.1: Modules for ‘ShinyItemAnalysis’ - diffify
• {shinyDatetimePickers} 1.2.0: Some Datetime Pickers for ‘Shiny’ - diffify
• {shinylight} 1.2: Web Interface to ‘R’ Functions - diffify
• {ern} 2.0.0: Effective Reproduction Number Estimation - diffify
• {memoiR} 1.2-9: R Markdown and Bookdown Templates to Publish Documents - diffify
• {BMRMM} 1.0.1: An Implementation of the Bayesian Markov (Renewal) Mixed Models - diffify
• {openssl} 2.1.2: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL - diffify
• {flexsurv} 2.3: Flexible Parametric Survival and Multi-State Models - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Educational attainment in #TidyTuesday UK towns

Gist & Cookbook

• Hrafnagud-Dynamo API - Deepansh Khurana’s custom API of personal data analysis and collection

Shiny Apps

• It’s time to add bslib to your shinyapp snippet

• Modern Dashboards with bslib

• R Shiny Highcharts - How to Create Interactive and Animated Shiny Dashboards

• Tailoring Shiny for Modern Users

• ASTHO Profile of State and Territorial Public Health

• RRR - Shorten URLs

R Internationally

Tutorials

• Mann Whitney U Test in R: A Comprehensive Guide

• Exploring strsplit() with Multiple Delimiters in R

• 3MW (Why you should use RStudio projects)

• R Highcharts: How to Make Interactive Maps for R and R Shiny

• Create engaging tables with R or Python using {gt}

R Project Updates

Updates from R Core:

• R on 64-bit ARM Windows

• Fritz Leisch (1968-2024)

Upcoming Events in 3 Months

Events in 3 Months:

• Decade of Data: Celebrating 10 Years of Innovation at the New York R Conference

• Optimal policy learning based on causal machine learning in R workshop

• Conducting Simulation Studies in R workshop

• Unlocking Financial Insights: Join Us at the R Finance Conference

• R/Medicine Coming June 10-14, 2024 – Call for Abstracts Open – Keynotes Announced

• Workshops at posit::conf(2024)

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• SatRdays London 2024: Registration Closing Soon

Grants & Funding

Datasets

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Quotes of the Week

• https://fediscience.org/@andrew/112339319080184378

• https://fosstodon.org/@Lluis_Revilla/112337947403294847

• https://mastodon.social/@hrbrmstr/112331870837930486

• https://fosstodon.org/@michaelchirico/112316213313971728

• https://mastodon.social/@eliocamp/112324714235007537