R Weekly 2021-43 Learning to make Rtistry, Simulating Squid Games, Setting up Shiny Servers on AWS

25 Oct 2021

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

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

Highlight

• Thinking Outside The Grid - A “bare bones” intro to Rtistry concepts in R using ggplot.

• Simulating the Squid Game Bridge Scene

• Getting Started with Shiny Server on AWS - a video tutorial on getting started with Shiny Server on AWS, including deploying an app, installing RStudio Server, adding a domain name, and HTTPS

Insights

R in the Real World

• Simulating the Squid Game Bridge Scene

• What’s the Most American of American Films? An Analysis with {gt} and {gtExtras}

• I reverse engineered Atlas.co

• Excess Deaths in 2020

• A Closer Look at Vaccination Breakthroughs in Switzerland

A population density map of long, slinky Chile. Took a bit of time to find an angle I like.#rayshader adventures, an #rstats tale pic.twitter.com/ulU36V34tw

— flotsam (@researchremora) October 23, 2021

R in Organizations

R in Academia

• The INSPIRE U2 Program: Student Reflections on Data Science Training

• What is the Atkinson Index?

Resources

• An Exploratory Introduction to Plotly

• Using R for Common Scientific Tasks

• Notes from a data witch: Generative art resources in R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {simplermarkdown} 0.0.2: Simple Engine for Generating Reports using R

• {gpx} 1.0.0: Process GPX Files into R Data Structures

• {epidemia} 1.0.0: Modeling of Epidemics using Hierarchical Bayesian Models

• {conText} 1.0.0: ‘a la Carte’ on Text (ConText) Embedding Regression

• {jenga} 1.0.0: Fast Extrapolation of Time Features using K-Nearest Neighbors

• {scatterPlotMatrix} 0.1.0: ‘Htmlwidget’ for a Scatter Plot Matrix & Multiple Scatter Plot

• {pixelclasser} 1.0.0: Classifies Image Pixels by Colour

• {supercompress} 1.0: Supervised Compression of Big Data

• {catSplit} 0.1.0: Encode Categorical Variables with Split Information from CART

• {MixtureMissing} 1.0.0: Robust Model-Based Clustering for Data Sets with Missing Values at Random

BioC

GitHub or Bitbucket

• {uvvistauc} 0.4.0.9000: Calculate the optical band gap of semiconductors from UV-Vis spectra using Tauc fitting.

• {ggshakeR} 0.0.0.9000: Analytics and Visualization Package for Soccer Data.

• A package that displays different memes in RStudio

Updated Packages

• An Upcoming Breaking Change in knitr on Unbalanced Chunk Delimiters

• {ichimoku} 1.2.4: Visualization and Tools for Ichimoku Kinko Hyo Strategies

• {subtee} 1.0.0: Subgroup Treatment Effect Estimation in Clinical Trials

• {kayadata} 1.0.0: Kaya Identity Data for Nations and Regions

• {echarty} 1.4.0: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’

Videos and Podcasts

• An Exploratory Introduction to Plotly

• TidyX Episode 80: Tidymodels - Decision Tree Tuning

• ggplots with {esquisse}

Gist & Cookbook

Shiny Apps

• ICC WC T20:Pavilion-view analytics as-it-happens!

• {visxhclust} 1.0.0: A Shiny App for Visual Exploration of Hierarchical Clustering

R Internationally

• DataFest Tbilisi talks about AI, the need for people, and setting up teaching programs

Tutorials

• Thinking Outside The Grid - A “bare bones” intro to Rtistry concepts in R using ggplot.

• Getting Started with Shiny Server on AWS - a video tutorial on getting started with Shiny Server on AWS, including deploying an app, installing RStudio Server, adding a domain name, and HTTPS

• If you fit a model with multiply imputed data, you can still plot the line.

• A Semi-Automated Process for Converting Slides to a Blog Post in RMarkdown

• Estimating correlations adjusted for group membership

• Fisher’s exact test in R

• Analysis of Variance in R

• Different types of correlation and their calculation in R

• Visually Assessing the Parallel Trends Assumption for DID Estimation with Control Variables

• Automatic Forecasting with ahead::dynrmf and Ridge regression

• Predict #TidyTuesday giant pumpkin weights with workflowsets

• Embedding Shiny Apps in Tableau Dashboards Using shinytableau

• Row-wise Operations with the Tidyverse

• A Beginner’s Guide to Shinymodules

• {emaliyi} Message Threads

R Project Updates

• {mlr} workshop 2020 recap

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• October 26: Expanding Software Peer Review: Statistical Package Standards at rOpenSci

• October 30: 95th Tokyo.R User Meetup

• November 2-4: R/Pharma Conference 2021

• November 8: Data Journalism in Latin America Conference

• November 13: R-Ladies Nairobi Anniversay Social

• November 18th: NIMBLE tutorial

• November 24th: Shiny Workshop

• A list of R conferences and meetings

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

Datasets

Your support will keep R Weekly team moving! 💡

Jobs

• Senior Data Scientist at Heap

Call for Participation

Your support will keep R Weekly team moving! 💡

aRtistry

Recently, I've been playing around with #RStats to make some generative art. These are a few of my favourites so far. #rtistry #ggplot2 #tidyverse #generativeart #aRt pic.twitter.com/89vBaaEoWr

— Nicola Rennie (@nrennie35) October 24, 2021

Today's quota of chaos 🎨#Rstats #generativeart #ggplot2 #tidyverse #DataScience pic.twitter.com/iQtCSCa5zb

— Annapurani (@annapurani93) October 24, 2021

Cooper flower#rtistry #maths #generativeart #rstats pic.twitter.com/aHYLfcse5f

— Antonio Sánchez Chinchón (@aschinchon) October 21, 2021

Quotes of the Week

This #rstats problem is too much for me on a Monday. Someone please explain!#reprex:
0.7 - 0.4 >= 0.3
0.8 - 0.4 >= 0.4 pic.twitter.com/6HQLON1vBs

— Jasmine Hughes (@Jas_Hughes) October 18, 2021

When it’s time to go home but your code isn’t done running. #RStats pic.twitter.com/cuhlQ8mKFF

— Matt Cheng (@MLCheng3) October 24, 2021

Ignorance is bliss, happy #RStats programming pic.twitter.com/OxoH4hn7An

— #RStats Question A Day (@data_question) October 24, 2021