R Weekly 2024-W30 Tile sprites, GitHub Copilot, extract functions

22 Jul 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

• Tile-style sprite delight
• Some thoughts after a trial run of GitHub’s Copilot Workspace
• Extracting names of functions defined in a script with treesitter

Insights

• Some thoughts after a trial run of GitHub’s Copilot Workspace

R in the Real World

• Tile-style sprite delight

Resources

• Euro 2024 data

• Introduction to R with Tidyverse - A 2-day introduction to the wonders of R.

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {iC10} 2.0.2: A Copy Number and Expression-Based Classifier for Breast Tumours
• {tidydelta} 0.1.0: Estimation of Standard Errors using Delta Method
• {LMPdata} 0.1.0: Easy Import of the EU Labour Market Policy Data
• {charlesschwabapi} 1.0.2: Wrapper Functions Around ‘Charles Schwab Individual Trader API’
• {databraryr} 0.6.6: Interact with the ‘Databrary.org’ API
• {zippeR} 0.1.0: Working with United States ZIP Code and ZIP Code Tabulation Area Data
• {modisfast} 0.9.1: Fast and Efficient Access to MODIS Earth Observation Data
• {vol2birdR} 1.0.3: Vertical Profiles of Biological Signals in Weather Radar Data

GitHub or Bitbucket

• {maize} 0.0.0.9000: Extension library for support vector machines in {tidymodels}

Updated Packages

🔍 Search on R-universe 🔍

• {gert} 2.1.0: Simple Git Client for R - diffify
• {tidytable} 0.11.1: Tidy Interface to ‘data.table’ - diffify
• {Rdune} 1.1.0: ‘Creates Color Palettes Inspired by Dune’ - diffify
• {malariaAtlas} 1.6.1: An R Interface to Open-Access Malaria Data, Hosted by the ‘Malaria Atlas Project’ - diffify
• {gam} 1.22-4: Generalized Additive Models - diffify
• {Rcpp} 1.0.13: Seamless R and C++ Integration - diffify
• {ipumsr} 0.8.1: An R Interface for Downloading, Reading, and Handling IPUMS Data - diffify
• {pagenum} 1.3: Put Page Numbers on Graphics - diffify
• {imf.data} 0.1.6: An Interface to IMF (International Monetary Fund) Data JSON API - diffify
• {officedown} 0.3.3: Enhanced ‘R Markdown’ Format for ‘Word’ and ‘PowerPoint’ - diffify
• {httr2} 1.0.2: Perform HTTP Requests and Process the Responses - diffify
• {Rapp} 0.2.0: Easily Build Command Line Applications - diffify
• {magick} 2.8.4: Advanced Graphics and Image-Processing in R - diffify
• {ppendemic} 0.1.8: A Glimpse at the Diversity of Peru’s Endemic Plants - diffify
• {palettes} 0.2.1: Methods for Colour Vectors and Colour Palettes - diffify
• {phonfieldwork} 0.0.15: Linguistic Phonetic Fieldwork Tools - diffify
• {nuts} 1.1.0: Convert European Regional Data - diffify
• {callback} 0.1.1: Computes Statistics from Discrimination Experimental Data - diffify
• {pivotea} 1.0.2: Create Pivot Table Easily - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast
• R-Ladies Rome (English) - Quarto Dashboards
• Interactive wolves density heatmap in R using {mapbox} and {mapgl}

Shiny Apps

• 3MW (Using Helper Functions With Golem)

• {shiny.telemetry} 0.3.0: Track User Behavior in Your Shiny Applications

Tutorials

• Schedule generator with R

• How to Make a Volcano Plot in R using ggplot2

• Extracting names of functions defined in a script with treesitter

• Extracting all links from my slidedeck

• Rcpp 1.0.13 on CRAN: Some Updates

• Simplify Regression Modeling with tidyAML?s fast_regression()

• VBA: Saving and Closing a Workbook

• How to Extract Substring Starting from the End of a String in R

• R Microbenchmark: How to Measure and Compare the Execution of R Expressions

• Assessing the number of mapped reads in several bam files

• Transform data for easier multi-column tables

R Project Updates

Updates from R Core:

Call for Participation

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

Connect

Join the Data Science Learning Community

Quotes of the Week

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/92PQ5KKinP

— Yohan Iddawela (@yohaniddawela) July 16, 2024

dplyr::anti_join(), always there to help me quickly figure out who is missing from a dataset.🌟 #rstats pic.twitter.com/9gEbc6lArw

— Crystal Lewis (@Cghlewis) July 4, 2024