R Weekly 2020-51 targetopia, JSON data, {ggrepel}

21 Dec 2020

Release Date: 2020-12-21

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

This week’s release was curated by Ryo Nakagawara, with help from the RWeekly team members and contributors.

Highlight

• The targetopia: An R package ecosystem for democratized reproducible pipelines at scale

• Extracting JSON data from websites and public APIs with R

• {ggrepel} 0.9.0: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’.

Insights

• Ten awesome R Markdown tricks. R Markdown is more versatile than you might think

• 2 Months in 2 Minutes - rOpenSci News, December 2020

• The New Base Pipe

• My Keynote ‘Future’ Presentation at the European Bioconductor Meeting 2020

• Building capacities to teach data science in Latin America

• R Consortium Providing Financial Support to COVID-19 Data Hub Platform

R in the Real World

• Does home-court advantage in the NBA matter?

• Digging into BVB Dortmund Football Club’s Tweets with R

• Cross National Death Rates

R in Academia

• colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. Zeileis, A., Fisher, J., Hornik, K., Ihaka, R., McWhite, C., Murrell, P., Stauffer, R., & Wilke, C. (2020). colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. Journal of Statistical Software, 96(1), 1 - 49.

Resources

• A Swiss version of the famous visualization «Land doesn’t vote. People do.»

• How to set library path on a {parallel} R cluster

• What’s new in {dbplyr} 2.0.0

• Reproducible road safety research with R

• doc2vec in R

• R Discord Server

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {postcards} 0.1.0: Create simple, beautiful personal websites and landing pages using only R Markdown.

• {potential} 0.1.0: Implementation of the Potential Model.

• {shinyfullscreen} 1.0.0: Put any HTML elements in fullscreen in Shiny apps.

• {readrba} 0.1.0: Download tidy data from the Reserve Bank of Australia.

• {shinyfullscreen} 1.0.0: Display ‘HTML’ Elements on Full Screen in ‘Shiny’ Apps.

• {brolgar} 0.1.0: Browse Over Longitudinal Data Graphically and Analytically in R.

• {dataReporter} 1.0.0: Reproducible Data Screening Checks and Report of Possible Errors.

• {webfakes} 1.1.1: Fake Web Apps for HTTP Testing

GitHub or Bitbucket

• {ggambit} 0.1.0: Visualise FEN chess positions with ggplot2.

• {tabnet} 0.0.1: An R implementation of TabNet.

• {prompter} 0.0.0.9000: Implementation of “Hint.css” to create tooltips in Shiny apps.

• {proceduralnames} 0.1.0: Several Methods for Procedural Name Generation.

• {edgebundle} 0.0.1.9000: R package implementing edge bundling algorithms.

• {stockfish} 0.1.0.9000: An R package to analyze chess games with the Stockfish engine.

• {cjpowR} 1.0.0: A Priori Power Analyses for Conjoint Experiments.

Updated Packages

• {tinytest} 1.2.4: light weight, dependency free unit testing.

• {nomnoml} 0.2.3: A tool for drawing sassy ‘UML’ diagrams based on a simple syntax.

• {PRDA} 1.0.0: Conduct a Prospective or Retrospective Design Analysis.

• {DataEditR} 0.0.9: An Interactive Editor for Viewing, Entering, Filtering & Editing Data.

• {sfnetworks} 0.4.0: Tidy Geospatial Networks in R.

• {osrm} 3.4.0: Interface Between R and the OpenStreetMap-Based Routing Service OSRM.

• {testthat} 3.0.1: Unit Testing for R.

• {ggrepel} 0.9.0: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’.

• {tvthemes} 1.1.1: TV Show Themes and Color Palettes for ‘ggplot2’ Graphics

• {plotly} 4.9.2.2: Create Interactive Web Graphics via ‘plotly.js’

• {ggstance} 0.3.5: Horizontal ‘ggplot2’ Components

• {ggtext} 0.1.1: Improved Text Rendering Support for ‘ggplot2’

• {bfsMaps} 0.9.6: Plot Maps from Switzerland by Swiss Federal Statistical Office

• {broom} 0.7.3: Convert Statistical Objects into Tidy Tibbles

• {psych} 2.0.12: Procedures for Psychological, Psychometric, and Personality Research

• {rmarkdown} 2.6: Dynamic Documents for R

Videos and Podcasts

• Tidy Tuesday live screencast: Analyzing Ninja Warrior in R

• Summary Song #6 - Tidyverse

• Shiny Developer Series: Fully containerized dev environment with Docker, RStudio, and VS-Code

• All things R: Maëlle Salmon

• [R-Ladies Baltimore

  Create and share reproducible code with workflowr

  Naidoo, Fabris-Rotelli](https://www.youtube.com/watch?v=xY0jLTWMHkI)

• Hadley Wickham Visits R4DS #2 (2020-12-16)

• Don’t write loops in R (part 2) with purrr::reduce

• Finding a Fatal Bug in {shiny}’s observeEvent() [Part 1]

Shiny Apps

• Kick Out Tracking: Where do catch-and-shoot threes come from?

R Internationally

• (Japanese) Tidymodelsで使えるモデルの紹介とモデルの追加方法

• (Japanese) Visual Studio Codeを使ったR言語開発環境の利用ガイド (応用編)

• (Arabic) أهمية تعلم لغة البرمجة آر وكيفية تثبيتها على جهازك – R programming language

• (German) R-Code parallelisieren mit parallel::clusterApply()

Tutorials

• Going parallel: understanding load balancing in R

• {torch} 0.2.0 - Initial JIT support and many bug fixes

• 10 years of brick-built LEGO Christmas Trees

• The targetopia: An R package ecosystem for democratized reproducible pipelines at scale

• demystifying the coalesce function

• Going parallel: understanding load balancing in R

• Extracting JSON data from websites and public APIs with R

• Convolutional LSTM for spatial forecasting

• Using the tidyverse with Databases - Part I

• Performance comparison of dummy-var creation methods - Part 2

• Azure Functions with R and plumber

• Using Scheme from R via Guile and Rcpp

• Upcoming changes to tidytext: threat of COLLAPSE

• sparklyr 1.5: better dplyr interface, more sdf_* functions, and RDS-based serialization routines

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• RStudio::Global (January 21, 2020)

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Trying a very nice new tool, thanks to {edgebundle} package created by @schochastics. Here the European flight network in a bundle flow version. #rstats #rspatial #datavis pic.twitter.com/dty4tTSYdE

— Dominic Royé (@dr_xeo) December 19, 2020

Gosh, @dcossyle and @apreshill's RStudio4Edu book is amazing, especially for teaching me how to customize different site types, like bookdown, distill, and blogdown. Highly recommended!https://t.co/tGL6CVbnAt#rstats #education

— Ted Laderas, PhD 🏳️‍🌈 (@tladeras) December 19, 2020

#rstats community - whats the best #rstats thing (package, trick, etc) you've learned this year? #r4ds #DataScience

— Keith McNulty (@dr_keithmcnulty) December 18, 2020