R Weekly 2022-W27

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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 Tony ElHabr, with help from the R Weekly team members and contributors.

Highlight

• UseR!2022: Best Practices for Shiny Apps with Docker and More

• Shell vs R Fundamentals – From Syntax to Control Structures with Zsh & BASH

• Evaluating GitHub Activity for Contributors

Insights

• Livestreaming My Coding Mistakes to the World

• Evaluating GitHub Activity for Contributors

• May 2022: “Top 40” New CRAN Packages

• Shiny and Arrow

R in the Real World

• Building a Kaggle Leaderboard with gtExtras

• Food Crisis Analysis and, Forecasting with Neural Network Autoregression

R in Organizations

• 10 ways you can provide value with RStudio Connect

R in Academia

• Model-Based Causal Forests for Heterogeneous Treatment Effects

Resources

• UseR!2022: Best Practices for Shiny Apps with Docker and More

• Shell vs R Fundamentals – From Syntax to Control Structures with Zsh & BASH

• Level Up Your Labels: Tips and Tricks for Annotating Plots

New Packages

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

CRAN

• {bonsai} 0.1.0: A new parsnip extension package for tree-based models is now on CRAN

• {bandit} 0.5.1: Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis

• {RcppColors} 0.1.0: ‘C++’ Header Files for Color Conversion and Color Mappings

• {RcppCensSpatial} 0.3.0: Spatial Estimation and Prediction for Censored/Missing Responses

• {bayeslm} 1.0.1: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

GitHub or Bitbucket

• {huggingfaceR} 0.1.0: Hugging Face State-of-the-Art Models in R

Updated Packages

• {rconfig} 0.1.3: Manage R Configuration at the Command Line - diffify

• {cargo} 0.2.15: Develop R Packages using Rust - diffify

• {precommit} 0.3.2: Pre-Commit Hooks - diffify

• {shiny.router} 0.2.3: Basic Routing for Shiny Web Applications - diffify

• {recipes} 1.0.0: Preprocessing and Feature Engineering Steps for Modeling - diffify

• {broom} 1.0.0: Convert Statistical Objects into Tidy Tibbles - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

• Displaying raster files in R with Leaflet

• distributions3: From Basic Probability to Probabilistic Regression (useR! 2022)

• How to style your Quarto blog without knowing a lot of HTML/CSS

• TidyX Episode 109 - R Classes and Objects - Making an S3 Object, Part 1

Tutorials

• Introduction to GitHub Actions to R users

• A Beginner’s Introduction to Mixed Effects Models

• How to do Twitter Network Analysis and Visualization in R

• R Shiny Caching – Top 3 Ways to Cache Interactive Elements in R Shiny

• Developing React Applications in RStudio Workbench

• What To Do (And Not to Do) with Modeling Proportions/Fractional Outcomes

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• North East England Data Scientists Meetup

• Using R in Regulatory Review - R Consortium - July 13, 2022

• 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

Call for Participation

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

Quotes of the Week

Bad coder bingo. My meme entry for #ISEC2022 #RStats #autobiographical pic.twitter.com/ifOaxHelA6

— Todd Arnold ???????????????? (@Todd_W_Arnold) June 30, 2022

Two exciting new improvements coming to `case_when()` for those who can spot them ???? pic.twitter.com/SlyQP7lTfU

— Davis Vaughan (@dvaughan32) July 1, 2022

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