R Weekly 2023-W39 Posit Conf(2023), Nix, Snap Slides & Raster Processing

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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 Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

• Reflections on posit conf(2023)

• Reproducible data science with Nix, part 6 – CI/CD has never been easier

• Snap Slides: a Lightweight HTML Presentation Framework

• Parallel raster processing in stars

Insights

• Benchmark of R file formats using rio and friends

• Cloud-Native Geospatial If You Don’t Speak Snake

• Mountains

• Fast remote parquet

• Row Means in R: Calculating Row Averages with Ease

• RcppInt64 0.0.3 on CRAN: Now with nanotime Support

• Reflections on posit conf(2023)

• Live from Chicago: Real World Data Science at posit::conf(2023)

R in the Real World

• Confidence Intervals in Election Polling: Understanding the Uncertainty of Political Forecasting

• Rugby World Cup explainer using data

R in Academia

• Guide to understanding the intuition behind the Dirichlet distribution: Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution

Resources

• Styling and Templating Quarto Documents

  

• Magic with WebAssembly and webR

• The notebook seen in Jeremy Howard’s keynote at posit::conf(2023)

• Introduction to webR

  

• Parameterized Quarto reports improve understanding of soil health

• It’s All About Perspective, Making A Case for Generative Art

  

• Empowering Educators and Researchers with Interactive Quarto Documents Using webR

• GitHub Copilot in RStudio, it’s finally here!

• Graphic Design with ggplot2 by Cédric Scherer- Updated

• Practical Statistics in Medicine with R

• Field Guide to Writing Your First R package

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {newscatcheR} 0.0.1: Programmatically Collect Normalized News from (Almost) Any Website

Updated Packages

🔍 Search on R-universe 🔍

• {mirai} 0.10.0: Minimalist Async Evaluation Framework for R.

• {mirai.promises} 0.3.0: Make ‘Mirai’ ‘Promises’ in Shiny and Plumber Pipelines.

• {pavo} 2.9.0: Perceptual Analysis, Visualization and Organization of Spectral Colour Data - diffify

• {checkdown} 0.0.10: Check-Fields and Check-Boxes for ‘rmarkdown’ - diffify

• {rtsplot} 0.1.5: Time Series Plot - diffify

• {panelView} 1.1.17: Visualizing Panel Data - diffify

• {blastula} 0.3.4: Easily Send HTML Email Messages - diffify

• {forestploter} 1.1.1: Create Flexible Forest Plot - diffify

• {consort} 1.2.1: Create Consort Diagram - diffify

• {RcppColors} 0.5.0: Color Mappings and ‘C++’ Header Files for Color Conversion - diffify

• {easy.utils} 0.0.2: Frequently Used Functions for Easy R Programming - diffify

• {vdiffr} 1.0.7: Visual Regression Testing and Graphical Diffing - diffify

• {pkgload} 1.3.3: Simulate Package Installation and Attach - diffify

• {tabr} 0.4.9: Music Notation Syntax, Manipulation, Analysis and Transcription in R - diffify

• {geobr} 1.8.1: Download Official Spatial Data Sets of Brazil - diffify

• {romic} 1.1.3: R for High-Dimensional Omic Data - diffify

• {ggstatsplot} 0.12.1: ‘ggplot2’ Based Plots with Statistical Details - diffify

• {echarty} 1.6.0: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’ - diffify

• {ottrpal} 1.2: Companion Tools for Open-Source Tools for Training Resources (OTTR) - diffify

• {connectwidgets} 0.2.1: Organize and Curate Your Content Within ‘Posit Connect’ - diffify

• {harmony} 1.0.1: Fast, Sensitive, and Accurate Integration of Single Cell Data - diffify

• {zen4R} 0.9: Interface to ‘Zenodo’ REST API - diffify

• {BGmisc} 1.0: An R Package for Extended Behavior Genetics Analysis - diffify

• {ggblanket} 5.1.0: Simplify ‘ggplot2’ Visualisation - diffify

• {graphlayouts} 1.0.1: Additional Layout Algorithms for Network Visualizations - diffify

• {editbl} 0.9.6: ‘DT’ Extension for CRUD (Create, Read, Update, Delete) Applications in ‘shiny’ - diffify

• {renv} 1.0.3: Project Environments - diffify

• {quarto} 1.3: R Interface to ‘Quarto’ Markdown Publishing System - diffify

• {netplot} 0.2-0: Beautiful Graph Drawing - diffify

• {DEPONS2R} 1.2.2: Read, Plot and Analyse Output from the DEPONS Model - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

R Internationally

• A Continental Movement: LatinR Event is Face-to-Face in Montevideo, Uruguay This Year

Tutorials

• Calibrating Binary Probabilities

• Reproducible data science with Nix, part 6 – CI/CD has never been easier

  

• Snap Slides: a Lightweight HTML Presentation Framework

• Add Client-side Searching via Fuse.js to Static Sites

• Parallel raster processing in stars

• Finding a circle in a chart by @ellis2013nz

R Project Updates

Updates from R Core:

The 2023 ISC Grant Program

Upcoming Events in 3 Months

Events in 3 Months:

• R in Pharma 2023 Registration is Open

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

Grants & Funding

Mark your calendars! The final call for the RUGS grant opportunity is approaching fast - The deadline is September 30th, 2023. Everything you need to know is right here: https://t.co/1MS9KNBecZ #rstats #opensource #RLadiesSaoPaulo pic.twitter.com/DjoU0o1oH9

— R Consortium (@RConsortium) September 22, 2023

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Got a request for this one on my website, curious how y'all feel about the border lines and country annotations?#rstats + #rayshader pic.twitter.com/51Es5BYyNs

— Spencer Schien (@MrPecners) September 19, 2023

Quotes of the Week

What is the most difficult part of becoming a data scientist?

I’ve had to battle through each of these.

And here are 3 tips that worked for me. 🧵#datascience #rstats #python pic.twitter.com/zw0Lm7MiW5

— Matt Dancho (Business Science) (@mdancho84) September 22, 2023

Error messages can be so cruel 😭 #rstats pic.twitter.com/7cCi94Abdy

— Mike Kearney📊 (@kearneymw) September 20, 2023

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