Day 9

Objectives

Upon completion of this session, you will be able to do the following:

1. Read multiple data formats into R.
2. Recode and manipulate data.
3. Write custom R functions and use add-on packages.

Lectures

Lecture recording links will be emailed directly to students.

Material

Day	Module	Lecture	Activity	Cheatsheets/Guides
Day 9	Functions	HTML, PDF, Rmd	Lab Rmd, Key, Key HTML	Day 9 Cheatsheet
	Project Guidelines		Example RMD, Example HTML	Instructions + Rubric

Homework

🚨 SURVEY: Day 9 check-in and final thoughts

📝 HOMEWORK 1: Questions (HTML)

📝 HOMEWORK 2: Questions (Rmd), Questions (HTML)

📝 HOMEWORK 3: Questions (Rmd), Questions (HTML)

📓 PROJECT: Final Project

Drop Boxes

Assignment Drop Boxes

Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.

Library

RStudio cheatsheets

RStudio IDE cheatsheet (PDF)

Essential Statistics with R cheatsheet (PDF)

Final Project Example (HTML)

Final Project Example (Rmd)