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: January 6-10: 8:30AM-11:50PM in room W5030

Instructors: John Muschelli () and Andrew Jaffe ()

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:

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

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