cm010 - April 25, 2018

Overview

Review the importance of reproducibility in scientific research
Identify the major components of R Markdown documents
Explain how to use chunk options to customize output
Demonstrate the value of caching
Explain how to include in-line R code
Introduce the different R Markdown document formats
Practice writing R scripts (.R) versus R Markdown documents (.Rmd)

Before class

Read chapters 27, 29 in R for Data Science for more on R Markdown and document formats
Review chapter 6 in R for Data Science for more info on scripts

Slides and links

Slides
A dive into R Markdown
R Markdown - the official site for R Markdown. Lots of great explanations of the different formats and options available for each one.
pipeline-example - a repo demonstrating how to combine and use R scripts and R Markdown documents. I recommend you fork/clone the repo to your computer, then explore and execute the different files to see how everything works together.

What you need to do

Start homework 5

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