SOPs for The Lab @ DC
2024-09-12
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.