Power and Sample Size in R

This is a project of the UVA Library StatLab to document examples of estimating power and sample size in R for various statistical tests and comparisons. It is a work in progress.

View book: https://uvastatlab.github.io/pass_in_R/

Contribution guide and notes

• To start a new chapter, File...New...Quarto Document, click Create Empty Document. Fill in chapter title in the header and save file to root directory. Add file name to _quarto.yml.
• Examples should get a level 3 header. For example: ### Example: sample size
• To view additions/changes locally, click Render.
• Any R packages required should be listed in the DESCRIPTION file under Imports.
• References should be added to references.bib in BibTeX format. To use a reference in a qmd file, use [@name], where "name" is the citekey that follows immediately after the opening bracket of the BibTeX entry.
• The book is published using a GitHub Action that automatically renders the files and publishes the content whenever you push a change to the repository.
• The GitHub Action is defined in the publish.yml file in .github/workflows folder. It was created using information from this video and the build_book.yaml file from the R4DS repo.
• GitHub commands:
  • Clone the repo: git clone git@github.com:uvastatlab/pass_in_R.git
  • Pull latest updates from GitHub: git pull origin main
  • Add all files to next commit: git add .
  • Commit changes: git commit -m "message describing changes"
  • Push updates to GitHub: git push origin main
• Style notes:
  • When referring to a function, include parentheses. For example: power.prop.test()
  • When referring to a package, just type the package name. For example, "When using the pwr package,..."