R Weekly 2021-W13

29 Mar 2021

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

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

Highlight

• “The Minard System” in R

• A guide to creating a Slackbot that sends weekly updates via plumber, googleCloudRunner and Cloud Run

• ggplot2 Wizardry: My Favorite Tricks and secretes for Beautiful Plots in R, Cédric Scherer

Insights

• Open-source contribution as a student project

• BI and Data Science: Collaboration Using Data Handoffs

• Questions, answers, and reprexes

• How flexible neural networks really are?

• How much overdispersion is too much in typical GLMMs?

R in the Real World

• Customer Churn with Keras/TensorFlow and H2O (update)

• Tidytext analysis of 100DaysOfWriting

• How Popular is Your Name? Mini Data Viz Challenge in R

Resources

• ggplot2 Wizardry: My Favorite Tricks and secretes for Beautiful Plots in R, Cédric Scherer

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {ferrn} 0.1.0: Facilitate Exploration of touRR optimisatioN
• {jsontools} 0.1.0: Working with JSON Vectors
• {stockfish} 0.1.1: Analyze Chess Games with the ‘Stockfish’ Engine
• {clinspacy} 1.0.2: Clinical Natural Language Processing using ‘spaCy’, ‘scispaCy’, and ‘medspaCy’
• {plumberDeploy} 0.2.1: Plumber Deployment
• {bardr} 0.0.9: Complete Works of William Shakespeare in Tidy Format
• {indiedown} 0.1.1: Individual R Markdown Templates

GitHub

• {popthemes}: Colour palettes based (mainly) on pop album covers.

Updated Packages

• sparklyr 1.6: weighted quantile summaries, power iteration clustering, spark_write_rds(), and more
• {targets} 0.3.0: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows
• {tidyposterior} 0.1.0: Bayesian Analysis to Compare Models using Resampling Statistics
• {ymlthis} 0.1.4: Write ‘YAML’ for ‘R Markdown’, ‘bookdown’, ‘blogdown’, and More
• {cricketr} 0.0.26: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
• {plumber} 1.1.0: An API Generator for R
• {tweenr} 1.0.2: Interpolate Data for Smooth Animations
• {processx} 3.5.0: Execute and Control System Processes
• {nflfastR} 4.1.0: Functions to Efficiently Access NFL Play by Play Data
• {styler} 1.4.0: Pretty-prints R code without changing the user’s formatting intent

Videos and Podcasts

• Creating a pass flow graph (football) in R

• Why I don’t use Powerpoint to present Data Analyses In general: HTML-based output formats. More specifically: xaringan. Automation / File types / File sizes

• Programming with R and the tidyverse, Part 1 and Part 2

• Fueling the virtual racing league Shiny dashboard with {reactable}

• Build ggplot2 Code with TDrag-and-Drop ({esquisse})

Gist & Cookbook

• “The Minard System” in R

• Dataviz Nanopost: Slices of the World

Shiny Apps

• Mirai Covid-19 App is one year old

• Exploring dynamics of different SARS-CoV-2 vaccine rollout strategies

Tutorials

• Dimensionality reduction of #TidyTuesday United Nations voting patterns

• A guide to creating a Slackbot that sends weekly updates via plumber, googleCloudRunner and Cloud Run

• Use GitHub actions with R Markdown and Distill

• Running background R jobs in Shiny

• Why I love dplyr’s across

• When interpolation doesn’t work with GAMs

• How to solve common problems with GAMs

• Pseudo-Randomness: Creating Fake Noise

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• May 3rd: Hackathon sponsored by NanoString Technologies

• May 14th: Time to get your Shiny on, Shiny Contest 2021 is here!

• May 26-28: NIMBLE virtual short course

• June 1: “Introduction to R” pre-conference workshop for PuG (German)

• June 1: “Reproducibility in R” pre-conference workshop for PuG

• A list of R conferences and meetings

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

• Set up Your R Package to Get the Most out of Your Community

Datasets

• Detailed Current Data on the Economic Impact of Covid-19

Call for Participation

• EARL abstracts: one week left to submit

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Finally jumped into the {targets} world and holy crap where has this magic been my whole life?! Once you set up the dependencies and functions for doing stuff with other things, it *just works* and magically knows when to re-run stuff! #rstats pic.twitter.com/0yUkhF6Ps4

— Andrew Heiss (@andrewheiss) March 26, 2021

That moment when you review a journal submission and you see dynamite plots: rage and joy at the same time! #dataviz #datavisualization #barbarplot #DoBetter pic.twitter.com/ncuxquEoAF

— Cédric Scherer (@CedScherer) March 26, 2021