R Weekly 2024-W38 surreal package, gender in Australian census, version-ing data

16 Sep 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

• {surreal} 0.0.1: Create Datasets with Hidden Images in Residual Plots

• Gender and sexuality in Australian surveys and census

• Please Version Data

Insights

• Thank You, Joseph Rickert: A Legacy of Leadership and Innovation in the R Community

• Empowering Data Science: How R is Transforming Research in Cameroon

• Labels For Technical Writing Projects

R in the Real World

• Please Version Data

• Express to Impress: Leveraging IBCS Standards for Powerful Data Presentations

• Gender and sexuality in Australian surveys and census

R in Organizations

• Takeaways from the R/Pharma Summit at posit::conf(2024)

Resources

• Introduction to Web Scraping and Data Management for Social Scientists

• Workshop: Introduction to machine learning with {tidymodels} in R

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {hydflood} 0.5.8: Flood Extents and Duration along the Rivers Elbe and Rhine
• {wdi2} 0.1.0: Download World Development Indicators from the World Bank Indicators API
• {tidycountries} 0.0.1: Access and Manipulate Comprehensive Country Level Data in Tidy Format
• {fdicdata} 0.1.1: Accessing FDIC Bank Data
• {RJalaliDate} 0.1.0: Handling Jalali Date (Persian / Solar Hijri)
• {corpmetrics} 1.0: Tools for Valuation, Financial Metrics and Modeling in Corporate Finance
• {ContourFunctions} 0.1.2: Create Contour Plots from Data or a Function
• {forestdata} 0.1.0: Download Forestry Data
• {ream} 1.0-1: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
• {ggfigdone} 0.1.2: Manage & Modify ‘ggplot’ Figures using ‘ggfigdone’
• {CTRing} 0.1.0: Density Profiles of Wood from CT Scan Images
• {charcuterie} 0.0.4: Handle Strings as Vectors of Characters
• {tidytuesdayR} 1.1.2: Access the Weekly ‘TidyTuesday’ Project Dataset
• {surreal} 0.0.1: Create Datasets with Hidden Images in Residual Plots

Updated Packages

• RcppArmadillo 14.0.2-1 on CRAN: Updates
• RcppSpdlog 0.0.18 on CRAN: Updates
• {lsnstat} 1.0.1: ‘La Societe Nouvelle’ API Access - diffify
• {ichimoku} 1.5.5: Visualization and Tools for Ichimoku Kinko Hyo Strategies - diffify
• {eodhdR2} 0.5.1: Official R API for Fetching Data from ‘EODHD’ - diffify
• {tiler} 0.3.2: Create Geographic and Non-Geographic Map Tiles - diffify
• {paws.analytics} 0.7.0: ‘Amazon Web Services’ Analytics Services - diffify
• {memery} 0.6.0: Internet Memes for Data Analysts - diffify
• {legocolors} 0.4.0: Official Lego Color Palettes - diffify
• {epubr} 0.6.5: Read EPUB File Metadata and Text - diffify
• {AutoDeskR} 0.1.5: An Interface to the ‘AutoDesk’ ‘API’ Platform - diffify
• {UKFE} 0.3.6: UK Flood Estimation - diffify
• {rhino} 1.10.0: A Framework for Enterprise Shiny Applications - diffify
• {billboarder} 0.5.0: Create Interactive Chart with the JavaScript ‘Billboard’ Library - diffify
• {florabr} 1.3.0: Explore Flora e Funga do Brasil Database - diffify
• {litedown} 0.2: A Lightweight Version of R Markdown - diffify
• {labelr} 0.1.9: Label Data Frames, Variables, and Values - diffify
• {declared} 0.25: Functions for Declared Missing Values - diffify
• {sna} 2.8: Tools for Social Network Analysis - diffify
• {openxlsx2} 1.9: Read, Write and Edit ‘xlsx’ Files - diffify
• {trekfont} 0.9.6: Star Trek Fonts Collection - diffify
• {trekcolors} 0.2.0: Star Trek Color Palettes - diffify

🔍 Search on R-universe 🔍

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• The Positron IDE, Tidy NLP and MLOps — with Dr. Julia Silge

Tutorials

• Introduction to Interpretable Machine Learning in R

• Exploratory Data Analysis: Economic Performance of China

• How to webscrape in R?

• How do you iterate a vector?

• How to Use lapply() Function with Multiple Arguments in R

• Exact significance tests for 2 × 2 tables

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

• Probabilistic Network Inference and Analysis in R and Python workshop, October 3rd

Datasets

• CSV files of the works of William Shakespeare.

Connect

Join the Data Science Learning Community

Quotes of the Week

I joined Twitter in 2022 to connect with other R programmers. A few months later, ownership transferred and I watched a mass exodus. 😭

But I hear there's no R community here? Not true.

A good place to start looking:

— Frank Hull 🍥 (@frankiethull) September 12, 2024

If you can write an R function you can make an API and you are already a backend web-dev. #rstats https://t.co/OxiNmGBjm2

— Josiah (@JosiahParry) September 12, 2024

I can't remember the last time I renamed variables manually in #rstats. I always use my data dictionary for renaming! That way, if I ever need to update names in the future, I'm only updating once in my data dictionary, not in both my data dictionary and script. 🙌 pic.twitter.com/oP06OZAaU1

— Crystal Lewis (@Cghlewis) September 5, 2024