1. Introduction to R Markdown

1.1 What is R Markdown?

“… an authoring framework for data science …

save and execute code

generate high quality reports …”

R Markdown Lessons from R Studio

It combines code, output, and text in a single file, which can be rendered to various formats such as HTML, PDF, Word, and more.

Let’s look at the Tufte Handout example from the R Markdown Gallery.

1.2 Why is R Markdown useful?

Communication: easy to share your results with others.
Reproducibility: easy to reproduce your analysis and results at a later time.
Efficiency: easy to update reports with new data or changes to your analysis.
Flexibility: a wide range of customization options.
Integration: can be used with a variety of other tools and packages, such as Shiny, to create interactive documents that allow users to interact with the data.

1.3 When is RMarkdown not the best choice?

Data Cleaning: Code is long and probably messy. Clean the data in a regular .R file and then move to RMarkdown after

This page is meant to introduce R Markdown briefly, what it is and why it is useful.
A pause here for questions.