R Weekly 2024-W46 Computational markdown, Bob's Burgers, S7

12 Nov 2024

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

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

Highlight

• Guide to generating and rendering computational markdown content programmatically with Quarto

• Bob’s Burgers Episode Fingerprints by Season

• S7 0.2.0

Insights

• Health Technology Assessment (HTA) Working Group Kickoff: Building a Collaborative Vision in R for HTA

R in the Real World

• Guide to generating and rendering computational markdown content programmatically with Quarto: Learn how to use knitr::knit() in inline chunks to correctly render auto-generated R and markdown content in Quarto documents

• {ntfy}: Lightweight Wrapper to the ntfy.sh Service

R in Academia

• Embedding R/exams Exercises as Forms in R/Markdown or Quarto Documents

Resources

• Examples of restructuring data between long and wide format in R

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {tidywater} 0.6.2: Water Quality Models for Drinking Water Treatment Processes.

• {handwriterRF} 1.0.2: Handwriting Analysis with Random Forests.

• {surveydown} 0.4.0: Markdown-Based Surveys Using ‘Quarto’ and ‘shiny’.

• {tidyplots} 0.6.2: Tidy Plots for Scientific Papers.

GitHub or Bitbucket

• {fastml}: Fast Machine Learning Model Training and Evaluation.
• {newplaces}: R-wrapper package to the Google Places API (New)
• {plumber-nextjs-app}: A demo Next.js app that interacts with an R Plumber backend
• {pray}: Display ASCII art of objects for prayer in the R console.
• {ig.degree.betweenness}: Smith-Pittman Community Detection Algorithm for ‘igraph’ Objects (2024) in R.
• {autoimport}: A toolbox to automatically generate @importFrom roxygen tags from R files.
• {peeky}: Download and Extract Shinylive Applications.

Updated Packages

🔍 Search on R-universe 🔍

• inline 0.3.20: Mostly Maintenance

• {S7} 0.2.0: An Object Oriented System Meant to Become a Successor to S3 and S4 - diffify

• {curl} 6.0.0: A Modern and Flexible Web Client for R - diffify

• {salesforcer} 1.0.2: An Implementation of ‘Salesforce’ APIs Using Tidy Principles - diffify

• {libr} 1.3.7: Libraries, Data Dictionaries, and a Data Step for R - diffify

• {zipangu} 0.3.3: Japanese Utility Functions and Data - diffify

• {waldo} 0.6.1: Find Differences Between R Objects - diffify

• {stars} 0.6-7: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify

• {charcuterie} 0.0.6: Handle Strings as Vectors of Characters - diffify

• {ranger} 0.17.0: A Fast Implementation of Random Forests - diffify

• {knitr} 1.49: A General-Purpose Package for Dynamic Report Generation in R - diffify

• {connectapi} 0.4.0: Utilities for Interacting with the ‘Posit Connect’ Server API - diffify

• {av} 0.9.3: Working with Audio and Video in R - diffify

• {ggreveal} 0.1.3: Reveal a ‘ggplot’ Incrementally - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Shiny Apps

• Roguelike Sprite Builder

Tutorials

• New qeML Plotting Function

• Birth date temperature

• Regressions where the coefficients are a simplex. by @ellis2013nz

• Comparison of spatial patterns in categorical raster data for arbitrary regions using R

• How to Use Dollar Sign ($) Operator in R: A Comprehensive Guide for Beginners

• 3MW (Use Secrets With GitHub Actions and Schedueling)

• R t-SNE: How to Visualize High-Dimensional Datasets in R

• R 3D Charts: Top 3 Packages to Master 3D Data Visualization in R

• Want To Get Even Faster Feedback From Your Unit Tests? Optimize Your Test Files Structure.

• Bob’s Burgers Episode Fingerprints by Season

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

• R/Pharma APAC track

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• December 3, 2024: ROpenSci - Social Coworking and Office Hours - Getting Involved in the Antarctic/Southern Ocean rOpenSci Community

• December 5, 2024: Introduction to generalized linear models in R workshop

Connect

Join the Data Science Learning Community

• R Work Opportunities

• Bilingual [Japanese/English] Product Support Specialist (Zelus Analytics) - Remote

Quotes of the Week

I've just explored the brand-new tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots. Designed with scientific papers in mind, tidyplots lets you build, adjust, and refine plot components gradually, all with a… pic.twitter.com/ZVaPGoPHXW

— Joachim Schork (@JoachimSchork) November 11, 2024

To be a good geospatial data scientist, you need good tools.

My tool of choice is R.

Here are the packages I can't live without:#rstats pic.twitter.com/n4qfYGes3Z

— Yohan (@yohaniddawela) October 31, 2024