Preface

This provides statistical guidance for randomized experiments, observational causal inference, and data analysis conducted at The Lab @ DC.

The appendices provide examples of some fundamental operations in R and some standards for managing code and workflow. These examples intend to serve as templates that you can copy, alter, and use in your project work.

Please also see our developing data science standard operating procedures and, perhaps, our older wiki.

Colophon

This version of the book was built with

##  setting  value
##  version  R version 4.4.1 (2024-06-14)
##  os       macOS Sonoma 14.6.1
##  system   aarch64, darwin20
##  ui       X11
##  language (EN)
##  collate  en_US.UTF-8
##  ctype    en_US.UTF-8
##  tz       America/New_York
##  date     2024-09-12
##  pandoc   3.1.11 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/aarch64/ (via rmarkdown)

Along with these packages:

The code for building this colophon comes from Jenny Bryan’s book here.