R Weekly 2022-W35, exploring subway fares and clinical reporting with {gtsummary}

29 Aug 2022

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

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

Highlight

• Exploring Types of Subway Fares with Hierarchical Forecasting

• Clinical Reporting with {gtsummary} by Daniel D. Sjoberg

Insights

• Corona-Superspreading or just “Wiesn-flu”? Should the Oktoberfest be cancelled again?

• R design patterns, base R vs Tidyverse with a view towards the teaching of beginners

• Cloud computing with R with R Studio

R in the Real World

• Factor Analysis of Personality Traits

• Exploding German Electricity Prices: Some Time Series

• Exploring Types of Subway Fares with Hierarchical Forecasting

R in Organizations

• R-Ladies Taipei Hopes to Host Hybrid Events in the Future”

R in Academia

• rGAI: An R package for fitting the generalized abundance index to seasonal count data

Resources

• Modernizing the R-GRASS interface: confronting barn-raised OSGeo libraries and the evolving R.*spatial package ecosystem

• Mixed effect model examples from two chapters of ‘Extending the Linear Model with R’

• sfnetworks: Tidy Geospatial Networks in R

• Clinical Reporting with {gtsummary}

• Getting started with R and R-spatial

• New resources added to Awesome ggplot2

• A method for universal superpixels-based regionalization

• R/Medicine 101: Intro to R for Clinical Data (Stephan Kadauke, Joe Rudolf, Patrick Mathias) and Video

• Using Public Data and Maps for Powerful Data Visualizations (Joy Payton) and Video

• Slidecraft 101: Colors and Fonts

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• luz 0.3.0: Higher Level ‘API’ for ‘torch’

• {tidyplus} 0.0.1: Additional ‘tidyverse’ Functions

• {typetracer} 0.1.1: Trace Function Parameter Types

• {ggvoronoi} 0.8.5: Voronoi Diagrams and Heatmaps with ‘ggplot2’

• {cranly} 0.6.0: Package Directives and Collaboration Networks in CRAN

• {tidytags} 1.0.2: Importing and Analyzing ‘Twitter’ Data Collected with ‘Twitter Archiving Google Sheets’

• {powerbiR} 0.1.0: An Interface to the ‘Power BI REST APIs’

• {ggDoE} 0.7.8: Modern Graphs for Design of Experiments with ‘ggplot2’

• {baffle} 0.2.0: Make Waffle Plots with Base Graphics

• {jjAnno} 0.0.3: An Annotation Package for ‘ggplot2’ Output

• {hockeyR} 1.0.0: Collect and Clean Hockey Stats

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.5.3: R binding for NNG (Nanomsg Next Gen) - diffify

• {mirai} 0.5.3: Minimalist async evaluation framework for R - diffify

• {worldfootballR} 0.5.12.5000: A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob - diffify

• RApiSerialize 0.1.2 on CRAN: Small Bugfix - diffify

• RcppArmadillo 0.11.2.3.1 on CRAN: Double Update

• R.matlab 3.7.0: Read and Write MAT Files and Call MATLAB from Within R - diffify

• globals 0.16.1: Identify Global Objects in R Expressions - diffify

• {covr} 3.6.0: Test Coverage for Packages - diffify

• {gt} 0.7.0: Easily Create Presentation-Ready Display Tables - diffify

• {RclusTool} 0.91.5: Graphical Toolbox for Clustering and Classification of Data Frames - diffify

• {littler} 0.3.16: R at the Command-Line via ‘r’ - diffify

• {echarty} 1.4.7: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’ - diffify

• {namedropR} 2.4.1: Create Visual Citations for Presentations and Posters - diffify

• {conductor} 0.1.1: Create Tours in ‘Shiny’ Apps Using ‘Shepherd.js’ - diffify

• {osmextract} 0.4.1: Download and Import Open Street Map Data Extracts - diffify

• {rticles} 0.24: Article Formats for R Markdown - diffify

• {DPpack} 0.0.11: Differentially Private Statistical Analysis and Machine Learning - diffify

• {tidyRSS} 2.0.6: Tidy RSS for R - diffify

• {VIM} 6.2.2: Visualization and Imputation of Missing Values - diffify

• {threeBrain} 0.2.6: 3D Brain Visualization - diffify

• {paws.compute} 0.1.13: ‘Amazon Web Services’ Compute Services - diffify

• {rmarkdown} 2.16: Dynamic Documents for R - diffify

• {knitr} 1.40: A General-Purpose Package for Dynamic Report Generation in R - diffify

• {covr} 3.6.1: Test Coverage for Packages - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• TidyX Episode 114 - camcorder R package

• All Bioconductor Conference 2022 talks and workshops playlist

• Gene Expression Analysis in R (Siavash Ghaffari)

• Enterprise-grade Shiny App Development with {rhino} (Jakub Nowicki)

• Reproducible Medical Research with Quarto (Thomas Mock)

Gist & Cookbook

• ggrepel_nudge

• across_and_tidyselect.R

R Internationally

• R from Zer to Hero (Arabic)

Tutorials

• Make your ggplot2 extension package understand the new linewidth aesthetic”

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

• August 31: ‘Build your first Shiny App’ with us

• August 31: Clinical Tables in R with gt & tfrmt

• September 14 ‘Advanced Shiny Development’ the hands-on workshop”

• September 17: Cascadia R Conference

• September 21: R-Ladies NYC Lightning Talks - RSVP and Call for Speakers

• October 6-7 : Shiny in Production conference from Jumping Rivers

rtistry

Another variation #Rstats #Rtistry #generativeart pic.twitter.com/T0wodhC88T

— chris (@dickie_roper) August 29, 2022

Quotes of the Week

tidyverse is a slap in the face to everyone who worked hard to write df[which(df$var1 == 1 & df$var2 %in% c("a","b","c"), c(1,3,4,8)] to perform filter and select

— King Ranch II (@travisgerke) August 25, 2022

I love dplyr, but a feature (since 1.0.0) that I really don't like is that summarise() treats vectors as multiple-row summaries

This makes one mistake can silently turn the whole thing into a grouped mutate😩 #rstats pic.twitter.com/9JqA3c8EnP

— David Robinson (@drob) August 26, 2022