Epi/Biostats Summer and Winter Institutes - Introduction to R for Public Health Researchers 140.886.13

Class Website: http://johnmuschelli.com/intro_to_r/

Day/Time: June 8-12: 8:30AM-11:50AM on Zoom

Instructors: John Muschelli ([email protected]) and Andrew Jaffe ([email protected])

TAs: Athena Chen ([email protected]) and Brianna Barry ([email protected])

Course website: http://johnmuschelli.com/intro_to_r/

Overview: This course will provide “hands-on” training for learning how to analyze data in the R statistical software package. We will cover data input/output, data management and manipulation, and how to make useful and informative graphics

Course Format: Each class will consist of 2 or 3 hour-long modules: each module features an “interactive” lecture (where students can work follow along on their laptops) and an R programming lab, where student apply the skills taught in the modules to real data.

By the end of the course, students should be comfortable:

Reading data into R
Recoding and manipulating data
Using R add-on packages
Making exploratory plots
Performing basic statistical tests
Understanding basic programming syntax
Creating reproducible R documents

Tentative Schedule:

Day 1

Introduction
R Studio
Basic R: Variables/Objects in R
Data Input/Output

Day 2

Subsetting
Summarization

Day 3

Data Classes
Data Cleaning

Day 4

Manipulation
Visualization

Day 5

Statistics
Reproducible Research
Functions

Grading

Attendance/Participation: 20%
Nightly Homework: 3 x 15%
Final “Project”: 35%