140.604.13
Introduction to R for Public Health Researchers
Course Status
Cancelled
Course Status
Cancelled
Location
East Baltimore
Note: Due to the COVID-19 Pandemic, this
course was held in a virtual/online format.
Term
Winter Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2020 - 2021
Instruction Method
TBD
M, Tu, W, Th, F, 8:30 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Course Instructor(s)
Andrew Jaffe
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Previous exposure to hypothesis testing, statistical modeling, and using a statistical package. Must be prepared to bring a laptop to class.
Provides “hands-on” training for analyzing data in the R statistical software package, a popular open-source solution for data analysis and visualization. Covers data input/output, data management and manipulation, and constructing useful and informative graphics. Geared towards individuals who have never used R but have some experience with another statistical package like STATA, SPSS, or SAS. Consists of a 90 minute “interactive” lecture followed by a 2 hour lab, where students apply the skills taught in the lecture to real data.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Read multiple data formats into R
- Recode and manipulate data
- Write custom R functions and use add-on packages
- Make exploratory and customizable plots
- Perform, interpret, and visualize basic statistical tests
- Use basic “programming” syntax
Methods of Assessment
This course is evaluated as follows:
- 20% Participation
- 45% Assignments
- 35% Final Project