R Weekly 2022-W47 {codegrip}, DRY pkg dev, beautiful tables with {gt}

21 Nov 2022

• 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

• {codegrip} 0.0.0.9000: Reshaping and navigation commands for R code

• DRY Package Development in R (slides)

• Creating beautiful tables in R with {gt}

Insights

• Promoting the Use of R in Mali

• rOpenSci News Digest, November 2022

• Preparing to Thrive by Collaborating with Local Universities

R in the Real World

• rtoot and functional programming

• Modeling and simulations for the 2022 FIFA World Cup

• J.League Soccer 2022 Season Review

Resources

• DRY Package Development in R (slides)

• Creating beautiful tables in R with {gt}

• R for Data Analysis

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {figma 0.1.0}: Web Client/Wrapper to the ‘Figma API’

• {prismjs} 1.0.0: Server-Side Syntax Highlighting

• {histoslider} 0.1: A Histogram Slider Input for ‘Shiny’

• {daiquiri} 1.0.1: Data Quality Reporting for Temporal Datasets

GitHub or Bitbucket

• {codegrip} 0.0.0.9000: Reshaping and navigation commands for R code

• {charpente} 0.5.0: Seamlessly design robust ‘shiny’ extensions

• {hellorust} 1.0.0: Minimal Example of Using ‘Rust’ Code in ‘R’

Updated Packages

🔍 Search on R-universe 🔍

• {rjtools} 1.0.9: Preparing, Checking, and Submitting Articles to the ‘R Journal’ - diffify

• {designer} 0.2.0: ‘Shiny’ UI Prototype Builder - diffify

• {qrcode} 0.2.0: Generate QRcodes with R - diffify

• {datawizard} 0.6.4: Easy Data Wrangling and Statistical Transformations - diffify

• {shinyWidgets} 0.7.5: Custom Inputs Widgets for Shiny - diffify

• {gt} 0.8.0: Easily Create Presentation-Ready Display Tables - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• TidyX Episode 124 - Combining Multiple Conditions

• Rapid dashboard prototyping

Shiny Apps

• FIFA World Cup 2022 Prediction

• aRt: Generative Art in R

R Internationally

• Latin American R Packages

Tutorials

• Build a Shiny App Demo as a Cover Letter Accessory

• Tamagotchi in R?

• Switching the narrowbotr to Mastodon

• Variations on a ggtheme: Applying a unifying aesthetic to your plots

• The giant French Olympic-size swimming pool

• Downloading Twitter data with rtweet

• essayreg2: Linear Regression (Cloze with Essay and File Upload)

• World Cup 2022: My Prediction for Germany in the Group Stage (also as a Video)!

• Which Gender is associated with this Name? R to the R-escue!

• Asia Against Dollar: Forecasting with Modeltime

• Machine learning of a 2022 FIFA World Cup multiverse

• How to create an empty data.frame with columns of specific types

• Animated population tree maps

• RObservations #41: Making a “Matlab Pumkin” in R

• Population Collapse

• Using functional analysis to model air pollution data in R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• 2022 Government & Public Sector R Conference

• 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

Do folks have web scraping examples where rvest doesn't work because the site uses javascript to dynamically load data? Working on an experiment... #rstats

— Hadley Wickham (@hadleywickham) November 16, 2022

We reduced our build time for R applications in the cloud by 90%.

Here is a short 🧵 on how we did it. pic.twitter.com/nqES4FDegp

— BR AI + Automation Lab (@BR_AILab) November 15, 2022

10 million (yes, MILLION) trees, detected from 30 gigabytes of Washington DC lidar data, individually transformed to the proper size and geo-referenced into a 3D #rayshader scene, entirely in #RStats!🤯

You knew rayshader could do trees—now you know it can do FORESTS!😀 pic.twitter.com/eC31jGJO3M

— Tyler Morgan-Wall @[email protected] (@tylermorganwall) November 16, 2022

What's your favourite non-obvious package in R? As in, not ggplot or dplyr or any of the really popular ones (can still be tidyverse though). #rstats #datascience #R

(Mine is probably fixest)

— Arthur Turrell (@arthurturrell) November 17, 2022