📢 My new R package {cocoon} is available on CRAN!

This package flexibly formats statistical output in a way that can be inserted into R Markdown or Quarto documents.

✅ Directly pass t-test, correlation, and Bayes factor objects to format test statistics, confidence intervals, p-values, Bayes factors etc.
✅ Automatically calculate and format summary statistics directly from data vectors
✅ Control the formatting of numbers and labels

jeffreyrstevens.github.io/coco…

#RStats #QuartoPub #Quarto

Extract, Format, and Print Statistical Output

Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the papaja package but prints Markdown or LaTeX syntax.

^{jeffreyrstevens.github.io}

Just started reading this book "Analyzing US Census Data: Methods, Maps, and Models in R" by @kyle_e_walker , which covers how to work with US Census data using R!

LINK: walker-data.com/census-r/index…

Pretty curious about exploring demographic data in R, especially given my work in environmental and social spaces! 🌱 ❤️

Thus, I can't wait to finish this book and dive into US Census data! 😄 💡 💻
...............
#rstats #reading #coding #uscensus #data #datanalysis #book

Preface | Analyzing US Census Data

This book is an overview of how practitioners can acquire, wrangle, visualize, and model US Census data with the R programming language.

^{walker-data.com}