R Weekly 2022-W34 rstudio::conf(2022) recordings, countdown v0.4.0, Past and Future of Shiny talk from Joe Cheng

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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 Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

• Talk recordings and workshop materials from rstudio::conf(2022)

• countdown v0.4.0 - Now on CRAN!

• The Past and Future of Shiny - Joe Cheng - rstudio::conf(2022)

Insights

• The ultimate beginner’s guide to generalized linear models (GLMs)

• Have we got NEWS.md for you

• countdown v0.4.0 - Now on CRAN!

• Box-Cox transformation from Feature Engineering by Max Kuhn and Kjell Johnson

• Custom Discrete Color Scales for ggplot2

• Building Statistical Intuition for Individualized Treatment Rules

R in the Real World

• The R Programming Language Is Now Fast Enough to Run Games on Linux with Nara

• Installation of R 4.2 on Ubuntu 22.04 LTS and tips for spatial packages

• From Novice to Industry Professionals, the East Bay R Enthusiasts Welcomes Everyone

• Community Call to Action for ISC Grant Proposal Ideas

• Talk recordings and workshop materials from rstudio::conf(2022)

R in Organizations

• Using the Microsoft365R R package for use with RStudio Pro Products

• Working with Qualtrics Data - Part 2: Excluding Data

R in Academia

• Academic conference posters using {posterdown}

Resources

• Github Actions workflow file that you can use to reproduce roxygen HTML5 issues and confirm that they have been resolved

• Keynote recordings from rstudio::conf(2022)

• Talk recordings from rstudio::conf(2022)

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {countdown} 0.4.0: Countdown to something awesome in xaringan, Quarto slides, Shiny apps and more.

• {sendigR} 1.0.0: Enable Cross-Study Analysis of ‘CDISC’ ‘SEND’ Datasets

• {dataversionr} 0.9.0: Time Versioned Storage of Data Frames

• {ordr} 0.1.0: A ‘tidyverse’ Extension for Ordinations and Biplots

• {babynamesIL} 0.0.1: Israel Baby Names 1948-2021

• {rspm} 0.2.1: ‘RStudio’ Package Manager

• {roughnet} 1.0.0: Visualize Networks using ‘roughjs’

• {pell} 0.1.0: Data About Historic Pell Grant Distribution in the US

• {WrensBookshelf} 0.1.0: A Collection of Palettes and Some Functions to Help Use Them

GitHub or Bitbucket

• {TDApplied} 0.1.1: An R package for statistics and machine learning with persistence diagrams.

Updated Packages

🔍 Search on R-universe 🔍

• {riskyr} 0.4.0: Rendering Risk Literacy more Transparent - diffify

• {dtplyr} 1.2.2: Data Table Back-End for ‘dplyr’ - diffify

• {av} 0.8.1: Working with Audio and Video in R - diffify

• {shinyTime} 1.0.3: A Time Input Widget for Shiny - diffify

• {drawer} 0.2.0.1: An Interactive HTML Image Editing Tool - diffify

• {shinyFiles} 0.9.3: A Server-Side File System Viewer for Shiny - diffify

• {charlatan} 0.5.0: Make Fake Data - diffify

• {gert} 1.7.1: Simple Git Client for R - diffify

• {visR} 0.3.1: Clinical Graphs and Tables Adhering to Graphical Principles - diffify

• {gtreg} 0.1.1: Regulatory Tables for Clinical Research - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• How to Detect and Analyse Emotions from Texts using R

• The Past and Future of Shiny - Joe Cheng - rstudio::conf(2022)

• Data science training in communities with limited technology resources and opportunities - Jeff Leek - rstudio::conf(2022)

• TidyX Episode 113: S4 objects introduction

Shiny Apps

• Rock, Paper, Scissors! in R Shiny

Tutorials

• Designing #TidyTuesday visualisations for mobile (with Quarto)

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

• August 23-26: R Medicine Virtual Conference

• August 25: Introduction to R Programming for Data Analysis

• August 31: ‘Build your first Shiny App’ with us

• August 31: Clinical Tables in R with gt & tfrmt

• 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

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

Group-wise spatial data analysis in #rstats / #rspatial is incredibly powerful, but can give you a headache if you don't get it right.

A thread on some some do's and don'ts: pic.twitter.com/On4WShA0qX

--- Kyle Walker (@kyle_e_walker) August 16, 2022

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

once::again I::think it::is best::to share::rstats code::with fully::qualified namespaces. #rstats

--- Mike Kearney📊 (@kearneymw) August 17, 2022

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

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