R Weekly 2023-W02 Knitr Progress Bar, litr Package, and Morse Code in R

09 Jan 2023

• 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

• An Upcoming Clean Progress Bar in knitr

• litr: Write an R Package Entirely with an R Markdown Document

• .-././–/—/.-./…/.

Insights

• End-to-end testing with shinytest2: Part 1

• An Upcoming Clean Progress Bar in knitr

• litr: Write an R Package Entirely with an R Markdown Document

• Combining R and Python with {reticulate} and Quarto

• .-././–/—/.-./…/.

R in the Real World

• Program Evaluation in the Labor Market: Linear Regression and Bayesian Additive Regression Trees

• Running Around: 2022 running dataviz in R

• rOpenSci Code of Conduct Annual Review

• rOpenSci 2022 Code of Conduct Transparency Report

R in Organizations

• Inclusive Space for Bio-Data and Medical R Group in Tampa, Florida

R in Academia

• Escaping the Malthusian Trap

Resources

• November 2022: “Top 40” New CRAN Packages

• Make your data science report a website. In 10 minutes.

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {ModelMap} 3.4.0.3: Modeling and Map Production using Random Forest and Related Stochastic Models
• {packagefinder} 0.3.4: Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in
• {mdsr} 0.2.7: Complement to ‘Modern Data Science with R’
• {pastclim} 1.2.3: Manipulate Time Series of Palaeoclimate Reconstructions
• {obcost} 0.1.0: Obesity Cost Database

Updated Packages

🔍 Search on R-universe 🔍

• {ECOTOXr} 1.0.1: Download and Extract Data from US EPAs ECOTOX Database - diffify
• {unnest} 0.0.4: Unnest Hierarchical Data Structures - diffify
• {shinyWidgets} 0.7.6: Custom Inputs Widgets for Shiny - diffify
• {gfonts} 0.2.0: Offline ‘Google’ Fonts for ‘Markdown’ and ‘Shiny’ - diffify
• {comperes} 0.2.6: Manage Competition Results - diffify
• {billboarder} 0.4.0: Create Interactive Chart with the JavaScript ‘Billboard’ Library - diffify
• {apexcharter} 0.4.0: Create Interactive Chart with the JavaScript ‘ApexCharts’ Library - diffify
• {precrec} 0.14.1: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves - diffify
• {simpr} 0.2.3: Flexible ‘Tidyverse’-Friendly Simulations - diffify
• {tidytext} 0.4.1: Text Mining using ‘dplyr’, ‘ggplot2’, and Other Tidy Tools - diffify
• {reticulate} 1.27: Interface to ‘Python’ - diffify
• {r2symbols} 1.3: Symbols for ‘Markdown’ and ‘Shiny’ Application - diffify
• {rvg} 0.3.2: R Graphics Devices for ‘Office’ Vector Graphics Output - diffify
• {reactable} 0.4.3: Interactive Data Tables for R - diffify
• {mongolite} 2.7.1: Fast and Simple ‘MongoDB’ Client for R - diffify
• {rgl} 0.111.6: 3D Visualization Using OpenGL - diffify
• {brinton} 0.2.7: A Graphical EDA Tool - diffify
• {sasLM} 0.9.4: ‘SAS’ Linear Model - diffify
• {geostats} 1.6: An Introduction to Statistics for Geoscientists - diffify
• {blastula} 0.3.3: Easily Send HTML Email Messages - diffify
• {htmlwidgets} 1.6.1: HTML Widgets for R - diffify
• {tidyjson} 0.3.2: Tidy Complex ‘JSON’ - diffify
• {ehelp} 1.2.1: Enhanced Help to Enable “Docstring”-Comments in Users Functions - diffify
• {writexl} 1.4.2: Export Data Frames to Excel ‘xlsx’ Format - diffify
• {tarchetypes} 0.7.4: Archetypes for Targets - diffify
• {officedown} 0.3.0: Enhanced ‘R Markdown’ Format for ‘Word’ and ‘PowerPoint’ - diffify
• {targets} 0.14.2: Dynamic Function-Oriented ‘Make’-Like Declarative Pipelines - diffify
• {jagstargets} 1.1.0: Targets for JAGS Pipelines - diffify
• {openair} 2.13: Tools for the Analysis of Air Pollution Data - diffify
• {clinUtils} 0.1.4: General Utility Functions for Analysis of Clinical Data - diffify
• {officer} 0.5.1: Manipulation of Microsoft Word and PowerPoint Documents - diffify
• {nflreadr} 1.3.2: Download ‘nflverse’ Data - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Rich Iannone - What’s new and exciting in gt 0.8.0 - Posit

• Tyler Morgan-Wall - Building an Entire City in R: Interactive 3D Data Visualization with Rayrender

Tutorials

• New Features and Serious Upgrades in {gt} 0.8.0

• Fine-tuning Tesseract’s OCR (with some help from R)

• shiny.benchmark - How to Measure Performance Improvements in R Shiny Apps

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

+Weekly R Workshops for Ukraine

• Jan 10-11: Introduction to R Shiny

• Jan 11: Roche: Shifting to an Open-source Backbone in Clinical Trials

• Feb 23: Making Beautiful And Effective Maps In R

• March 15-17: ShinyConf 2023

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Cross-post for #MapPromptMonday and #TidyTuesday. Leading cause of death by European NUTS 2 regions, trying out the eurostat R package for getting the data.

code: https://t.co/wmpVCKlDLg#Rstats #dataviz pic.twitter.com/S63vJPwRg7

— Georgios Karamanis (@geokaramanis) January 5, 2023

Day 7 of #genuary2023. Color Palette from a favorite movie/album. Mine is Inception. #genuary7 #rtistry #rstats #genartclub pic.twitter.com/iCyVIrwPvQ

— Meghan Harris (@meghansharris) January 8, 2023

Also had lots of requests for this one: a population density map of India. This was by far the longest render.

Well, except for furry France, which still holds the record. #rayshader adventures, an #rstats tale pic.twitter.com/uMNDfGl417

— terence fosstodon (@researchremora) January 5, 2023

Quotes of the Week

PSA: If you're an R user and rely on MRAN for reproducibility, you should know MRAN is getting shutdown. You might want to start migrating to the @posit_pbc package manager which also allows you to use packages as of a specific date like MRANhttps://t.co/QjNGGNuRx5

— Bruno Rodrigues (@[email protected]) (@brodriguesco) January 7, 2023