Live
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R Weekly 2023-W51 Style code with {epoxy}, R typing shortcuts, quarto reproducible reporting
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
- Style your code output with {epoxy}
- Get Good with R: Typing Skills and Shortcuts
- Introduction to reproducible reporting with Quarto
Insights
- Empowering R in Paris: Mouna Belaid’s Journey with R-Ladies and the French R Community
- Introduction of R activities in Japan
- femR: Bridging Physics and Statistics in R with Support from the R Consortium
- The 10 most popular R books of 2023
R in the Real World
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Knowledge Retrieval and Task Automation: with R and GPT on the Histories
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Patience is overrated – embrace the thrill of parsing streaming data as it arrives!
R in Organizations
- New R/Insurance Webinar Series: The Journey from Excel to High-Performance Programming in R
- Webinar: Use of R in Japan’s Pharma Industry
Resources
New Packages
CRAN
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{explainer} 1.0.0: Machine Learning Model Explainer
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{ggfixest} 0.1.0: Dedicated ‘ggplot2’ Methods for ‘fixest’ Objects
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{Apollonius} 1.0.1: 2D Apollonius Graphs
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{adbi} 0.0.2: ‘DBI’ Compliant Database Access Using ‘ADBC’
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{parcats} 0.0.5: Interactive Parallel Categories Diagrams for ‘easyalluvial’
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{randomMachines} 0.1.0: An Ensemble Modeling using Random Machines
GitHub or Bitbucket
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{trelliscope} 0.1.5: Trelliscope is an R package that enables interactive exploration of data frames of visualizations.
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{litter} 0.0.0.9000: ‘Lit’ Components for ‘Shiny’.
Updated Packages
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{cowplot} 1.1.2: Streamlined Plot Theme and Plot Annotations for ‘ggplot2’ - diffify
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{rsconnect} 1.2.0: Deploy Docs, Apps, and APIs to ‘Posit Connect’, ‘shinyapps.io’, and ‘RPubs’ - diffify
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{roboBayes} 1.2: Robust Online Bayesian Monitoring - diffify
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{recipes} 1.0.9: Preprocessing and Feature Engineering Steps for Modeling - diffify
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{easyalluvial} 0.3.2: Generate Alluvial Plots with a Single Line of Code
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{ragg} 1.2.7: Graphic Devices Based on AGG - diffify
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{duke} 0.0.3: Creating a Color-Blind Friendly Duke Color Package - diffify
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{signnet} 1.0.3: Methods to Analyse Signed Networks - diffify
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{maps} 3.4.2: Draw Geographical Maps - diffify
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{tidyterra} 0.5.1: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects - diffify
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{ggridges} 0.5.5: Ridgeline Plots in ‘ggplot2’ - diffify
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{readrba} 0.1.6: Download and Tidy Data from the Reserve Bank of Australia - diffify
Videos and Podcasts
Tutorials
- Effect of Shiny Widgets with Google Lighthouse
- Advent of Array Elegance (AoC2023 Day 7)
- Get Good with R: Typing Skills and Shortcuts
- Beautiful Maps with R (V): Point densities
- Demystifying Odds Ratios in Logistic Regression: Your R Recipe for Loan Defaults
- Style your code output with {epoxy}
- Decoding the Mystery: How to Interpret Regression Output in R Like a Champ
- Conquering Unequal Variance with Weighted Least Squares in R: A Practical Guide
- reactable Visualization of Allocation
- Simulating spatial patterns with the spatial kinetic Ising model
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼
Quotes of the Week
Earthquakes (> M2.5) of Alaska, 1923 to 2023. My slow trek along the ring of fire continues.#rayshader adventures, an #rstats tale pic.twitter.com/Un6OJQvP4j
— tterence on bsky (@researchremora) December 14, 2023
ICYMI: the 2018-2022 American Community Survey estimates were released last week, and are ready-to-go in #rstats tidycensus!
— Kyle Walker (@kyle_e_walker) December 14, 2023
Here's a fun visualization you can try: a ridgeline plot of median household incomes for Census tracts by state
Code here: https://t.co/zUzanq5pLN pic.twitter.com/qtt4uo0zyd