R Weekly 2022-W26 {flextable}, Shiny's workload, RainbowR

27 Jun 2022

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

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

Highlight

• {flextable} 0.7.2 - Framework for easily creating tables for reporting and publications - diffify

• Offload Shiny’s Workload: COVID-19 processing for the WHO/Europe

• (Re)launching RainbowR: a community of LGBTQ+ R users

• Listen to R-Weekly Highlights Episode 84

Insights

• Experimenting with Quarto

• rOpenSci News Digest, June 2022

R in the Real World

• Visualizing the Invasion of the Soviet Union with Luftwaffe Locations

• Charting Kaggle’s growth to 10 million users

R in Academia

• The Poisson distribution: From basic probability theory to regression models

• Learning from Failure - Nitinol Fracture Mechanics in R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {censored} 0.1.0 - A {parsnip} extension package which provides engines for various models for censored regression and survival analysis

• {oddsapiR} 0.0.1: Access Live Sports Odds from the Odds API

• {edibble} 0.1.0: Designing Comparative Experiments

Updated Packages

• {spatialsample} 0.2.0 - Functions and classes for spatial cross-validation with tidymodels - diffify

• {flextable} 0.7.2 - Framework for easily creating tables for reporting and publications - diffify

• {globals} 0.15.1 - Identify Global Objects in R Expressions - diffify

• {mirai} 0.5.0 - Minimalist async evaluation framework for R - diffify

Videos and Podcasts

• TidyX Episode 108 - R Classes and Objects - Lists, Part 2

• Programming Games with Shiny - Roll the Dice: with Quosures!

• Demonstrating climate change using the ggplot2 R package to create a tornado plot (CC224)

• Efficient Data Analysis on Larger-than-Memory Data with DuckDB and Arrow

Shiny Apps

• A {shiny} app to wrap BlasterJS and visualize NCBI blast results locally

• R Shiny Google Analytics: How to Add GA to Shiny Apps

• Offload Shiny’s Workload: COVID-19 processing for the WHO/Europe

Tutorials

• How to use multiple colour scales in ggplot with {ggnewscale}

• How to model exponential survival probabilities using maximum likelihood from scratch

• Using the terra R package to view, download and analyze Google Earth Engine Images

• Quick and easy ways to deal with long labels in ggplot2

• Merging Excel Spreadsheets with Base R and openxlsx

• Custom colour palettes for {ggplot2}

• Webscraping in R with Rvest

• On a Möbius transformation

• My 5 tips for using {pins} with #rstats as well as a bonus tip on debugging errors

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• SatRdays: Using R for Data Science and Epidemiology - Aug 6, 2022

• rstudio::conf(2022) Conference Schedule

• A list of R conferences and meetings

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

Jobs

• Postdoc position at KAUST

Call for Participation

• (Re)launching RainbowR: a community of LGBTQ+ R users

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Today I realised I can add emojis to my #Rstats code to help my squiggly brain navigate it! Now I just have to look for the correctly coloured thing instead of a wall of monochromatic text. Look at how tidy and cute my @rstudio document outline is! pic.twitter.com/YN5EM5aepF

— Alise Fox (@hi_im_alise) June 22, 2022

Easily create single new ggplot2 geoms from multiple ggplot layers with the {ggpackets} #rstats 📦 by Doug Kelkhoff #ggplot2 https://t.co/G4H8vA432f pic.twitter.com/jsZjifN6il

— Sharon Machlis (@sharon000) June 25, 2022