R Weekly 2023-W31 purrr reduce, density gradient map, ggplot2 social media icons

This article is originally published at

Hello and welcome to this new issue!

• How to have (my) content shared by R Weekly?

This week’s release was curated by Tony ElHabr, with help from the R Weekly team members and contributors.

Highlight

• Reducing my for loop usage with purrr::reduce()

• How to fill maps with density gradients with R, {ggplot2}, and {sf}

• Adding social media icons to charts with {ggplot2}

Insights

• Three useful (to me) R notions

• AB tests and repeated checks

• Improving code reproducibility: Small steps with big impacts

• A tale of two data analysis workflows

• New datasets and better docs in {gt} 0.9.0

R in the Real World

• Understanding the Effect of Subsidies on Agriculture with Neural Networks

• Mr. Mastodon Farm: analysing a mastodon ActivityPub outbox.json file

R in Organizations

• A Memorable Experience: Attending the NYC-R Conference and Key Takeaways

• Use of R in Non-Profit Social Policy Research in New York

• Standardizing access & ensuring consistent data in data products (using FastAPI and Posit Team)

Resources

• Best Practices for Data Visualisation - Royal Statistical Society

• Annotated equations in ggplot2 - Importing latex into ggplot2

• #41: Another r2u Example – Really Simple CI

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {BET} 0.5.2: Binary Expansion Testingrelation Coefficient (CCC)
• {MultiClassROC} 0.1.0: ROC Curves for Multi-Class Analysis
• {GDPuc} 0.11.1: Easily Convert GDP Data

Updated Packages

🔍 Search on R-universe 🔍

• {mirai} 0.9.1: Lightweight parallel code execution and distributed computing - adds TLS support for remote connections.
• {svd} 0.5.4.1: Interfaces to Various State-of-Art SVD and Eigensolvers - diffify
• {igraph} 1.5.0.1: Network Analysis and Visualization - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• SatRdays London 2023 - Julia Silge - What is “production” anyway? MLOps for the curious

• SatRdays London 2023 - YouTube Playlist

• Building reproducible analytical pipelines with R at ReproTea

• Bringing the {tidyverse} to Julia

Tutorials

• The Old Faithful Geyser Data shiny app with webR, Bootstrap & ExpressJS

• The ultimate practical guide to conjoint analysis with R

• How to fill maps with density gradients with R, {ggplot2}, and {sf}

• Adding social media icons to charts with {ggplot2}

• Reducing my for loop usage with purrr::reduce()

• Binning in R: Create Bins of Continuous Variables

• Unraveling Data Insights with R’s fivenum(): A Programmer’s Guide

R Project Updates

Updates from R Core:

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

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Two different charts for #TidyTuesday this week! An infographic style chart and a more traditional plot! Which one do you prefer?

Although this dataset was small (12 x 8 observations), it's the perfect chance to find creative ways to visualise the data!#RStats #DataViz #R4DS pic.twitter.com/0ZaXPCP5mM

— Nicola Rennie | @[email protected] (@nrennie35) July 25, 2023

I kept it simple on this #TidyTuesday on scurvy.
🌊🤢🍋😆

I made a {gt} table in #rstats showing the results of one of the first controlled clinical trials ever. The treatments were very wild back then! pic.twitter.com/zvqhWJlgSJ

— Ícaro Bernardes (@IcaroBSC) July 27, 2023

Quotes of the Week

Yesterday, I found out that @Spotify has an API. To celebrate the tickets I got for next year but mostly to procrastinate, I made a "joyplot" and "danceplot" of @taylorswift13 studio album's (Taylor's versions only of course!) #rstats #rstudio 1/4 pic.twitter.com/6f5E3UZ1sQ

— Luis Sattelmayer (@luissattelmayer) July 29, 2023

Thanks for visiting r-craft.org
This article is originally published at
Please visit source website for post related comments.