R Weekly 2021-W03 Habit, Soccer, Call for Tutorials

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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 Wolfram King, with help from the R Weekly team members and contributors.

Highlight

• Data science as an atomic habit

• J.League Soccer 2020 Season Review with R!

• UseR! 2021: Call for Tutorials

• Fantasy Football and the Classical Scheduling Problem

Insights

• Generating SQL with {dbplyr} and sqlfluff

• Data science as an atomic habit

• Stingy Beanie baby webscraping

• J.League Soccer 2020 Season Review with R!

• Teaching coding: What is a faded example?

R in the Real World

• Non-hierarchical edge bundling in r

• From gmailr to the Google Books API

• Vaccination Data: An Outlier Tale

• Explore art media over time in the #TidyTuesday Tate collection dataset

• Fantasy Football and the Classical Scheduling Problem

• The Bachelorette Eps. 9 to Finale - The Final - Data and Drama in R

R in Organizations

• UseR! 2021: Call for Tutorials

New Packages

???? Go Live for More New Pkgs ????

CRAN

• {prompter} 1.0.0: Add tooltips in shiny apps via hint.css

• {thematic} 0.1.1: Unified and Automatic ‘Theming’ of ‘ggplot2’, ‘lattice’, and ‘base’ R Graphics

• {ggOceanMaps} 1.0.9: Plot Data on Oceanographic Maps using ‘ggplot2’

• {node2vec} 0.1.0: Algorithmic Framework for Representational Learning on Graphs

• {bayesian} 0.0.2: Bindings for Bayesian TidyModels

• {html5} 0.1.0: Generates HTML Tag Strings for HTML5 Elements Included in Mozilla’s Documentation of HTML5

• {ggvenn} 0.1.8: Draw Venn Diagram by ‘ggplot2’

• {resumer} 0.0.4: Build Resumes with R

• {knitcitations} 1.0.12: Citations for ‘Knitr’ Markdown Files

GitHub or Bitbucket

• {preferably} 0.3.0 : An accessible template for pkgdown websites with dynamic light/dark mode support.

• {sfthemes} 0.2.0 : An accessible set of ggplot2 themes and color palettes optimized for light/dark appearances, and different screen sizes.

• {feather}: Colour palettes for data visualisation, inspired by the plumage of Australian birds.

Updated Packages

• {glmnet} 4.1: Regularized Cox models for start, stop and stratified data

• {shinyWidgets} 0.5.5: Custom Inputs Widgets for Shiny

• {DBI} 1.1.1: R Database Interface

• {altair} 4.1.1: Interface to ‘Altair’

• {magick} 2.6.0: Advanced Graphics and Image-Processing in R

• {googleCloudRunner} 0.4.0: R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler

• {pROC} 1.17.0.1: Display and Analyze ROC Curves

• {ggformula} 0.10.1: Formula Interface to the Grammar of Graphics

• {shinytest} 1.5.0: Test Shiny Apps

• {httpuv} 1.5.5: HTTP and WebSocket Server Library

• {cpp11} 0.2.5: A C++11 Interface for R’s C Interface

• {BH} 1.75.0-0: New upstream release, added Beast

• {Rcpp} 1.0.6: Seamless R and C++ Integration

• {Shiny Server} 1.5.16: Important Security Notice

Videos and Podcasts

• Setup Visual Studio Code to run R on VSCode 2021

• Interactive Plots in R without Shiny

• Upcoming Why R Webinar - R in PowerBi - an introduction

• Upcoming Why R Webinar - Why using R for analysis of the human microbiome is a good idea

Shiny Apps

• NCAA Plus Minus

Tutorials

• X-Sessions at rstudio::global

• RStudio: A Single Home for R and Python Data Science

• Computing a random-effects model by hand.

• Work with Databases through R’s tidyverse

• The creation of ADAM – next step in statistical forecasting

• Automatically installing Shiny and RStudio server on Raspberry Pi OS with Ansible

• How To Report The Distribution Of Attributes Per Cluster

• Visualizing geospatial data in R—Part 3: Making interactive maps with leaflet

• A guide to dynamically show a light/dark plot in a website based on the user’s preference, using ggplot2 and pkgdown

• R Shiny {golem} - Initializing Your Project - Part 2 - Development to Production

• ppsr: An R implementation of the Predictive Power Score

• Overcome the technical hurdles of your RStudio environment

• Setup Visual Studio Code to run R on VSCode 2021

• ease_aes() Demo

• More factors, more variance…explained

• Empirical Economics with R (Part B): Confounders, Proxies and Sources of Exogenous Variations

• Bilingual Data Science

• What’s new with AzureR

• My predictions for 2021 – Data and analytics

• Code for the “Variable Utility is not Intrinsic” Article

• Win Probability Added – Batsman Review

• Variable Utility is not Intrinsic

• GooglyPlusPlus2021 interactively ranks T20 batsmen and bowlers!!!

• Why Gradient Descent Works (and How To Animate 3D-Functions in R)

• Little useless-useful R functions – Countdown number puzzle

• Simulating the dice game “Toss Up!” in R

• Wonderful Wednesdays

• lmDiallel: a new R package to fit diallel models. The Griffing’s models (1956)

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

Call for Participation

Your support will keep R Weekly team moving! ????

Quotes of the Week

#rstats #rspatial inspired by https://t.co/di4PSmdzhy it is now possible to add image & graph popups as tooltips (on hover rather than click) by setting `tooltip = TRUE` in the respective functions. E.g. leafpop::addPopupGraphs(..., tooltip = TRUE)???? pic.twitter.com/JFpqEW5Xxy

— TimSalabim (@TimSalabim3) January 9, 2021

Type "I love R because" and let your autocomplete finish.

I'll start:

I love R because it's the only way to get to the point where you are not supposed to be. #RStats

— Colin Fay ???? (@_ColinFay) January 14, 2021

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