A deep dive into R Markdown

Overview

  • Review the importance of reproducibility in scientific research
  • Identify the major components of .Rmd
  • Define knitr chunks
  • Implement chunk options to customize output
  • Practice different R Markdown formats

Before class

  • Read chapters 27 “R Markdown”, 28 “Graphics for communication”, and 29 “R Markdown formats” in R for Data Science

Additional resources

Consult these resources for further information about R Markdown, it is likely they will provide the answer to what you need: * R Markdown the definitive Guide * R Markdown cheat sheet * Markdown and R Markdown by Pat Bartlein * R Markdown from R Studio official documentation * Info on the lubridate package: Chapter 16 of R for Data Science

Class materials

  • Run the code below in your console to download today’s in-class exercises: usethis::use_course("CFSS-MACSS/a-deep-dive-into-r-markdown")
  • A dive into R Markdown

After class