R Weekly 2023-W43 Base R, More base R, data.table

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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 Jonathan Carroll, with help from the RWeekly team members and contributors.

Highlight

• Base slaps!

• 3 (actually 4) neat R functions

• Announcement: data.table translation projects

Insights

• Base slaps!
• Reproducible data science with Nix, part 7 – Building a Quarto book using Nix on Github Actions
• The Forgotten Factor in the Middle East Conflict | Youth Bulge Theory
• R Markdown v1: Feature Complete!
• A Simple HTML Article Format
• 3 (actually 4) neat R functions
• The real reset button for local mess fom tests: withr::deferred_run()
• The ‘V20’ group of vulnerable countries and the MVI by @ellis2013nz

• Some tips to work with SQLite database
• Announcement: data.table translation projects
• Use string as random seed in R
• Interactions – where are you?
• Unlocking the Power of Functional Programming in R (Part 1)

R in Organizations

• Highlights from Shiny in Production (2023)

R Adjacent

• Reading notes on A Philosophy of Software Design by John Ousterhout

• Reproducible Teaching with Quarto

• Why SQL is THE Language to Learn for Data Science

R Users

• Giving Back to the R Community in Edmonton, Alberta, through Open Source Package Development and Educational Blogs

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {shinylive} 0.1.0: Run ‘shiny’ Applications in the Browser
• {githubr} 0.9.1: Easier to Use API Wrapper for ‘GitHub’
• {PaLMr} 0.1.4: Interface for ‘Google Pathways Language Model (PaLM)’
• {oceanmap} 0.1.5: A Plotting Toolbox for 2D Oceanographic Data
• {mapping} 1.4: Automatic Download, Linking, Manipulating Coordinates for Maps
• {GimmeMyPlot} 0.1.0: Graphical Utilities for Visualizing and Exploring Data
• {cloudfs} 0.1.2: Streamlined Interface to Interact with Cloud Storage Platforms
• {maplegend} 0.1.0: Legends for Maps
• {tidystats} 0.6.0: Save Output of Statistical Tests
• {timeplyr} 0.2.0: Fast Tidy Tools for Date and Date-Time Manipulation Logistic Regression
• {rivnet} 0.3.2: Extract and Analyze Rivers from Elevation Data
• {tinycodet} 0.1.0.6: A Few Functions to Help in your Coding Etiquette
• {rbedrock} 0.3.1: Analysis and Manipulation of Data from Minecraft Bedrock Edition
• {coursekata} 0.14.0: Packages and Functions for ‘CourseKata’ Courses
• {echarty} 1.6.2: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’

GitHub or Bitbucket

• Version v0.14.0 of nnetsauce for R and Python

• {getrect} 0.0.1

Updated Packages

🔍 Search on R-universe 🔍

• qlcal 0.0.8 on CRAN: QuantLib 1.32 Updates
• {usmapdata} 0.1.0: Mapping Data for ‘usmap’ Package - diffify
• {textrecipes} 1.0.4: Extra ‘Recipes’ for Text Processing - diffify
• {ezplot} 0.7.8: Functions for Common Chart Types - diffify
• {missRanger} 2.3.0: Fast Imputation of Missing Values - diffify
• {nflfastR} 4.6.0: Functions to Efficiently Access NFL Play by Play Data - diffify
• {iglu} 3.5.0: Interpreting Glucose Data from Continuous Glucose Monitors - diffify
• {rStrava} 1.3.0: Access the ‘Strava’ API - diffify
• {bioRad} 0.7.3: Biological Analysis and Visualization of Weather Radar Data - diffify
• {wikkitidy} 0.1.11: Tidy Analysis of Wikipedia - diffify
• {diffeqr} 2.0.0: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs) - diffify
• {hockeystick} 0.8.2: Download and Visualize Essential Climate Change Data - diffify
• {marginaleffects} 0.16.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify
• {duckdbfs} 0.0.3: High Performance Remote File System Access Using ‘duckdb’ - diffify
• {clinfun} 1.1.5: Clinical Trial Design and Data Analysis Functions - diffify
• {quickcode} 0.5: A Compilation of Some Frequently Used R Functions - diffify
• {matsbyname} 0.6.6: An Implementation of Matrix Mathematics that Respects Row and Column Names - diffify
• {markdown} 1.11: Render Markdown with ‘commonmark’ - diffify
• {zlib} 1.0.3: Compression and Decompression - diffify
• {admiral} 0.12.3: ADaM in R Asset Library - diffify
• {RcppThread} 2.1.6: R-Friendly Threading in C++ - diffify
• {postdoc} 1.2.2: Minimal and Uncluttered Package Documentation - diffify
• {pixelclasser} 1.1.1: Classifies Image Pixels by Colour - diffify
• {handcodeR} 0.1.1: Text Annotation App - diffify
• {ggwordcloud} 0.6.0: A Word Cloud Geom for ‘ggplot2’ - diffify
• {gnumeric} 0.7-10: Read Data from Files Readable by ‘gnumeric’ - diffify
• {annotator} 0.0.3.1: Image Annotation and Polygon Outlining using Free Drawing - diffify
• {exiftoolr} 0.2.3: ExifTool Functionality from R - diffify
• {drake} 7.13.6: A Pipeline Toolkit for Reproducible Computation at Scale - diffify
• {collapse} 2.0.3: Advanced and Fast Data Transformation - diffify
• {ggeffects} 1.3.2: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs - diffify
• {rtweet} 1.2.1: Collecting Twitter Data - diffify
• {mapboxapi} 0.5.3: R Interface to ‘Mapbox’ Web Services - diffify
• {adaR} 0.3.0: A Fast ‘WHATWG’ Compliant URL Parser - diffify
• {ssh} 0.9.1: Secure Shell (SSH) Client for R - diffify
• {sp} 2.1-1: Classes and Methods for Spatial Data - diffify
• {opencv} 0.3.1: Bindings to ‘OpenCV’ Computer Vision Library - diffify
• {oceanexplorer} 0.1.0: Explore Our Planet’s Oceans with NOAA - diffify
• {jqr} 1.3.1: Client for ‘jq’, a ‘JSON’ Processor - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Latin R Plenary - Dianne Cook

• Latin R Plenary - Hannah Frick (slides)

Tutorials

• Using my own R functions in webR in an Express JS API, and thoughts on building web apps with Node & webR

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Using Spatial Data with R Shiny workshop

• LatinR 2023 - Latin American Conference on the Use of R in R&D: 18th October

• Network Analysis with R workshop: 26th October

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

Grants & Funding

• satRdays infrastructure update – ISC Funded Project

• Welcome to the {data.table} ecosystem project!

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Quotes of the Week

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