R Weekly 2022-W41 A Shiny App with Tweets, Quarto Hacks, and

This article is originally published at

Hello and welcome to this new issue!

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

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

Highlight

• Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions

• 6 Productivity Hacks for Quarto

• “Managing Large Codebases in R” webinar

Insights

• Refactoring Russian Doll Code

• 6 Productivity Hacks for Quarto

• R Shiny vs Shiny for Python: What are the Key Differences

• Mastering Debugging in R

R in the Real World

• A Day in Life of an R/Shiny Developer

R in Organizations

• Building stories with data: Crafting a data-driven fundraising campaign

• Team Collaboration in R and Python Made Easy

Resources

• Data Science Scotland: R User Day Talks (Oct. 5, 2022)

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• Introducing the text package

GitHub or Bitbucket

• {nblR}: To quickly and efficiently load Australian basketball statistics from the NBL.

• {verbaliseR}: A package to help make your R-generated text mighty fine.

Updated Packages

• choroplethr 3.7.1 is now on CRAN

• Improvements to model specification checking in tidymodels

• Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field

🔍 Search on R-universe 🔍

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• “Managing Large Codebases in R” webinar

• How to automatically run an R script on a schedule using a GitLab CI/CD Pipeline

• Managing large codebases in R

• 166 - Podcast in the Style of Data

• ggradar: radar plots with ggplot in R

Gist & Cookbook

• iPhone Apps (TidyTuesday)

Shiny Apps

• GooglyPlusPlus gets ready for ICC Men’s T20 World Cup

R Internationally

• Corrélation élection serrée vs taux de participation?

Tutorials

• Serving Transformer Models in Shiny Apps

• Why and how to use JS in your Shiny app

• How To Create Your First Package in R Programming

• Automating Sentences with R

• Audio classification with torch

• Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions

• Map any region in the world with R - Part I: The basic map

• Reverse Transform from Caret’s preProcess()

• A Gentle Introduction to using Support Vector Machines for Classification

• Get Miles: using treemap to visualise running distances

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• TidyFinance: Empirical asset pricing in R workshop

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

The #rstats "isoband incident" via the R package dependency network. 4748 CRAN packages involved. Thats quite a lot. But could a single package take out even more packages? 1/3 pic.twitter.com/6SvQZD9rWq

— David Schoch (@schochastics) October 5, 2022

Thanks for visiting r-craft.org
This article is originally published at
Please visit source website for post related comments.