R Weekly 2023-W04 {englishfootball} database, Shiny for R & Python, 2023 R Conferences

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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 Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

• englishfootball: A Comprehensive Database on the Premier League and the English Football League (1888-2022)

• Seeing double? Building the same app in Shiny for R and Shiny for Python

• Some R Conferences for 2023

Insights

• Some R Conferences for 2023

• rOpenSci News Digest, January 2023

R in the Real World

• englishfootball: A Comprehensive Database on the Premier League and the English Football League (1888-2022)

• Alone R package: Datasets from the survival TV series

R in Academia

• Chan, C. (2023) grafzahl: fine-tuning Transformers for text data from within R. Computational Communication Research (Accepted) / CRAN

Resources

• Command Line Basics for R Users

• Reference guide for commonly used functions in education research data wrangling

• Some ggplot2 tricks

• R-SVN CI tool: Mirror of the R svn with CI for testing patches.

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {pirouette} 1.6.6: Create a Bayesian Posterior from a Phylogeny
• {stops} 1.0-1: Structure Optimized Proximity Scaling
• {prqlr} 0.1.0: R Bindings for the ‘prql-compiler’ Rust Library
• {ggplate} 0.0.1: Create Layout Plots of Biological Culture Plates and Microplates
• {CopernicusMarine} 0.0.3: Search Download and Handle Data from Copernicus Marine Service Information
• {blindreview} 1.0.1: Blind Review Using Forward Search Procedures
• {mathml} 0.5: Translate R Expressions to ‘MathML’ and ‘LaTeX’/’MathJax’
• {df2yaml} 0.3.0: Convert Dataframe to ‘YAML’
• {RSP} 0.1: ‘shiny’ Applications for Statistical and Psychometric Analysis
• {readmet} 1.6.6: Read some less Popular Formats Used in Meteorology
• {symphony} 0.1.1: Efficient and Precise Single-Cell Reference Atlas Mapping
• {sca} 0.9-1: Simple Component Analysis
• {conText} 1.4.2: ‘a la Carte’ on Text (ConText) Embedding Regression Data, Plus the Empirical Likelihood Ratio for F(T)
• {scenes} 0.1.0: Switch Between Alternative ‘shiny’ UIs
• {parquetize} 0.5.0: Convert Files to Parquet Format
• {factset.protobuf.stachextensions} 1.0.3: ‘FactSet’ ‘STACH’ Extensions Package
• {fabisearch} 0.0.4.5: Change Point Detection in High-Dimensional Time Series Networks
• {rKIN} 0.3.0: (Kernel) Isotope Niche Estimation
• {hmmTMB} 1.0.1: Fit Hidden Markov Models using Template Model Builder
• {roxytest} 0.0.2: Various Tests with ‘roxygen2’
• {plantTracker} 1.0.1: Extract Demographic and Competition Data from Fine-Scale Maps
• {connectwidgets} 0.2.0: Organize and Curate Your Content Within ‘Posit Connect’
• {BTSR} 0.1.4: Bounded Time Series Regression
• {azlogr} 0.0.4: Logging in ‘R’ and Post to ‘Azure Log Analytics’ Workspace
• {triact} 0.2.0: Analyzing the Lying Behavior of Cows from Accelerometer Data
• {sfdep} 0.2.3: Spatial Dependence for Simple Features
• {em} 1.0.0: Generic EM Algorithm

GitHub or Bitbucket

• {blog2newsletter} 0.0.1: A package to help push blog posts out to subscribers as an email newsletter.
• {youtubeR} 0.1.0: A package for interacting with the Youtube Data API.
• {starBliss} 0.1.0: Create beautiful, print quality maps of the night sky in R.

Updated Packages

🔍 Search on R-universe 🔍

• {mirai} 0.7.2: Minimalist Async Evaluation Framework for R.
• {polars} 0.4.2: Bring polars to R.
• {MexBrewer} 0.0.2: Color Palettes Inspired by Works Mexican Muralists.
• {flextable} 0.8.4: Functions for Tabular Reporting - diffify
• {visachartR} 2.2.0: Wrapper for ‘Visa Chart Components’ - diffify
• {rmarkdown} 2.20: Dynamic Documents for R - diffify
• {tiledb} 0.18.0: Universal Storage Engine for Sparse and Dense Multidimensional Arrays - diffify
• {postdoc} 1.2.0: Minimal and Uncluttered Package Documentation - diffify
• {rgl} 1.0.1: 3D Visualization Using OpenGL - diffify
• {cartography} 3.1.3: Thematic Cartography - diffify
• {highlight} 0.5.1: Syntax Highlighter - diffify
• {ggdist} 3.2.1: Visualizations of Distributions and Uncertainty - diffify

• {extrafont} 0.19: Tools for Using Fonts - diffify
• {formatR} 1.14: Format R Code Automatically - diffify
• {DT} 0.27: A Wrapper of the JavaScript Library ‘DataTables’ - diffify
• {bookdown} 0.32: Authoring Books and Technical Documents with R Markdown - diffify
• {tuneR} 1.4.2: Analysis of Music and Speech - diffify
• {pryr} 0.1.6: Tools for Computing on the Language - diffify
• {rstan} 2.21.8: R Interface to Stan - diffify
• {terra} 1.6-53: Spatial Data Analysis - diffify
• {RCMinification} 1.2: Random Coefficient Minification Time Series Models - diffify
• {rayimage} 0.9.1: Image Processing for Simulated Cameras - diffify
• {dbplyr} 2.3.0: A ‘dplyr’ Back End for Databases - diffify
• {raster} 3.6-14: Geographic Data Analysis and Modeling - diffify
• {ngramr} 1.9.3: Retrieve and Plot Google n-Gram Data - diffify
• {Rcpp} 1.0.10: Seamless R and C++ Integration - diffify
• {BH} 1.81.0-1: Boost C++ Header Files - diffify
• {parallelly} 1.34.0: Enhancing the ‘parallel’ Package - diffify
• {vroom} 1.6.1: Read and Write Rectangular Text Data Quickly - diffify
• {pins} 1.1.0: Pin, Discover and Share Resources - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• TidyX Episode 132: Fuzzy Matching Shiny

Shiny Apps

• Seeing double? Building the same app in Shiny for R and Shiny for Python

R Internationally

• Chi subisce il caro-carburante?

• Il vero prezzo del carburante

Tutorials

• How to download Kobotoolbox data in R

• Map your Strava activities

• End-to-end testing with shinytest2

• Kaggle January Playground Series – Tidymodels

• To downsample imbalanced data or not, with #TidyTuesday bird feeders

• A GAM for time trends in a stepped-wedge trial with a binary outcome

• Web scraping in R

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

• {targets} in Action (January 31)

• Weekly R Workshops for Ukraine

• Feb 23: Making Beautiful And Effective Maps In R

• March 15-17: ShinyConf 2023

• SatRdays London 2023

Quotes of the Week

Why do functions used within walk/map functions from purrr not use open and closed parentheses? #rstats

Why this?

reports %>%
pwalk(rmarkdown::render)

And not this?

reports %>%
pwalk(rmarkdown::render())

— David Keyes (@dgkeyes) January 20, 2023

R has become one of the most popular programming language in data journalism. My guess: largely thanks to @Rstudio and the #tidyverse ecosystem #rstats #ddj #datajournlism #datascience https://t.co/KBDuk1Yjn3

— 𝙳𝚞𝚌-𝚀𝚞𝚊𝚗𝚐 𝙽𝚐𝚞𝚢𝚎𝚗 (@duc_qn) January 19, 2023

I'm thinking about moving from RStudio to VSCode.#rstats folks: What are good resources to make the transition as smooth as possible? Any obstacles I should be aware of?

— Albert Rapp (@rappa753) January 14, 2023

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