Overview
- Review the importance of reproducibility in scientific research
- Identify the major components of
.Rmd - Define
knitrchunks - 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
- Complete Hw05