R Weekly 2024-W40 Data Career Insights, In-Place Modifications, rix

29 Sep 2024

• 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

• Data Career Insights: Lessons from four senior leaders in the data space

• In-Place Modifications

• Reproducible data science with Nix, part 13 – {rix} is on CRAN!

Insights

• Cover and modify, some tips for R package development

• Data Career Insights: Lessons from four senior leaders in the data space

• RStudio IDE and Posit Workbench 2024.09.0: What’s New

• Reproducible data science with Nix, part 13 – {rix} is on CRAN!

• Some Options for Fast Matrix Decompositions in R

• {surveydown 0.3.0}

• Seal of Approval: collapse

R in the Real World

• A Bayesian Plackett-Luce model in Stan applied to pinball championship data

• Estimating ecological network robustness with R: A functional approach

• Exploding, Impacting: looking at bioRxiv preprint view dynamics with R

Resources

• Descriptive statistics by hand

• Handling large data with polars and tidypolars

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {dsld} 0.2.2: Data Science Looks at Discrimination

• {xmlwriter} 0.1.1: Fast and Elegant XML Generation

• {geocomplexity} 0.1.0: Mitigating Spatial Bias Through Geographical Complexity

• {dotwhisker} 0.8.3: Dot-and-Whisker Plots of Regression Results

• {hexDensity} 1.4.4: Fast Kernel Density Estimation with Hexagonal Grid

• {literanger} 0.1.1: Random Forests for Multiple Imputation Based on ‘ranger’

Updated Packages

🔍 Search on R-universe 🔍

• {Lahman} 12.0-0: Sean ‘Lahman’ Baseball Database - diffify

• {broom} 1.0.7: Convert Statistical Objects into Tidy Tibbles - diffify

• {httr2} 1.0.5: Perform HTTP Requests and Process the Responses - diffify

• {feasts} 0.4.1: Feature Extraction and Statistics for Time Series - diffify

• {DescTools} 0.99.57: Tools for Descriptive Statistics - diffify

• {rio} 1.2.3: A Swiss-Army Knife for Data I/O - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• In-Place Modifications

• 100 Bushels of Corn

• 3MW (Creating Word Docs With R)

• Modeling loss aversion with extended-support beta regression

• Shiny Assistant for Python - How to Build Shiny for Python Apps with GPT and GenerativeAI

• How to Create Horizontal Boxplots in Base R and ggplot2

• How to Remove Outliers from Multiple Columns in R: A Comprehensive Guide

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

• October 17 - Analyzing Time Series at Scale with Cluster Analysis in R workshop

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

• 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

Connect

Join the Data Science Learning Community

rtistry

Here is my #viz for the #TidyTuesday challenge—W40. This one is about the Chess Game Dataset (Lichess). . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

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— Steven Ponce (@sponce1.bsky.social) September 25, 2024 at 5:03 AM

I've not done #tidytuesday in a longggg time and this week's dataset on dialogues from Shakespeare plays was a nice way to get back into it. Nothing too complicated, just a bump chart tracking the amount of dialogue for major characters. Everything in R with ggplot #dataviz #rstats

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— Aman Bhargava (@aman.bh) September 22, 2024 at 1:21 AM

Quotes of the Week

A quick reminder that if you are scoring/recoding variables using the same logic in #rstats, you can use across() to score those items all at once. pic.twitter.com/KnYbIHKlqZ

— Crystal Lewis (@Cghlewis) September 27, 2024