R Weekly 2022-W37 Mapping wind, Expected points, LEGO model with Docker

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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 Jon Calder, with help from the R Weekly team members and contributors.

Highlight

• Mapping wind data with R

• Calculating and comparing expected points from different expected goals sources (soccer)

• Use Docker to deploy a model for #TidyTuesday LEGO sets

Insights

• Taking on Virtual Events with Regular Structured and Casual Meetups ☕️

• Financial Industry Supports Robust Vienna R Community

R in the Real World

• Calculating and comparing expected points from different expected goals sources (soccer)

• Evaluating how we can use match outcome probabilites for season-long insights (soccer)

• RObservations #38: Visualizing Average Delay Times On TTC Subway Stations

• How strongly does German electricity demand react to high prices?

R in Academia

• Beneath and Beyond the Cox Model

• Modeling Geopolitical Risk with seeded LDA: A Guide on using keyATM

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {oceanexplorer} 0.0.1: Explore Our Planet’s Oceans with NOAA

• {wordbankr} 1.0.0: Accessing the Wordbank Database

• {luz} 0.3.1: Higher Level ‘API’ for torch

• {NatParksPalettes} 0.1.4: Color Palettes Inspired by National Parks

GitHub

• {cropcircles} 0.1.0: Crop an Image into a Circle with a Transparent Background

Updated Packages

🔍 Search on R-universe 🔍

• {telegram.bot} 3.0.0: Develop a ‘Telegram Bot’ with R - diffify

• {officer} 0.4.4: Manipulation of Microsoft Word and PowerPoint Documents - diffify

• {libr} 1.2.8: Libraries, Data Dictionaries, and a Data Step for R - diffify

• {cli} 3.4.0: Helpers for Developing Command Line Interfaces - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• How to fix the sizes in your ggplots

• [TidyX Episode 115

  R Classes and Objects - Making an S4 Object, Part 2 - S4 Tournament](https://www.youtube.com/watch?v=ktlJJHlR0Ck)

R Internationally

• Taxer les ultras riches

• L’impôt foncier comme alternative à l’impôt sur l’avoir net

• Combien rapporterait la taxe sur la richesse de QS?

Tutorials

• How to Set Up Quarto with Docker, Part 2: Dynamic Content

• The Package: learning how to build an R package

• Tracking: announcing new R package TrackMateR

• Monty Hall problem, with Thompson sampling

• Getting Started with Bootstrap Model Validation

• Use Docker to deploy a model for #TidyTuesday LEGO sets

• {nanonext} - a web toolkit

• Boosted Configuration (neural) Networks Pt. 2

• Retrieving list of users for all workspaces in your PowerBI tenant using Powershell

• Mapping wind data with R

• Minimum R version dependency in R packages

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

• RStudio Community Monthly Events Roundup - September 2022

• September 13: Fundamentals of Exploratory and Inferential Spatial Data Analysis in R workshop

• September 14: ‘Advanced Shiny Development’ the hands-on workshop

• September 17: Cascadia R Conference

• September 21: R-Ladies NYC Lightning Talks - RSVP and Call for Speakers

• October 6-7: Shiny in Production conference from Jumping Rivers

• November 23-25: I Congreso & XII Jornadas de Usuarios de R

Grants & Funding

• R Consortium ISC Call for Proposals - Infrastructure Steering Committee (ISC) grants for low-to-medium risk projects with a focused scope and likely to have a broad impact on the R Community. Deadline 2022-10-01.

Datasets

• {m5} 0.1.1: ‘M5 Forecasting’ Challenges Data

• {allhomes} 0.3.0: Extract Past Sales Data from Allhomes.com.au

• {BFS} 0.4.3: Get Data from the Swiss Statistical Office

• {resampledata3} 1.0: Data Sets for “Mathematical Statistics with Resampling and R” (3rd Ed)

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Shortly after I made a plot in June, I wrote a little Shiny app to experiment with different settings. And then added a theme and some buttons. Here it is, if you want to play with it:https://t.co/YP5Yq9SDsq#RStats #rtistry https://t.co/ZBUjKGWbje pic.twitter.com/b6AWRrl4BN

— Georgios Karamanis (@geokaramanis) September 9, 2022

Quotes of the Week

I've just discovered you can join, split, and compress PDF files with {pdftools} in #rstats, and extracted a specific chapter from a >3000 pages long PDF in two lines of code.
I love you @rOpenSci
💻🤖💜
Code: https://t.co/xWP4JLXJHa pic.twitter.com/KvHdVtQVIo

— Silvia Gutiérrez (@espejolento) September 5, 2022

I am teaching grad #DataVisualization this fall, so I want to know what you find HARD with data viz, both in general and specifically within #rstats & #tidyverse

Plz RT! I hope to make all these materials #openscience and will eventually couple it with a data management course!

— Dr. Emorie Beck (@EmorieBeck) September 6, 2022

My new favorite R package for uncovering distributions.

And I made a free tutorial to help you get up to speed. #rstats https://t.co/DdyySc3ksh pic.twitter.com/9ao7ZuAt8m

— Matt Dancho (Business Science) (@mdancho84) September 9, 2022

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