140.886.13 Introduction to R for Public Health Researchers
- Winter Inst. term
- 2 credits
- Academic Year:
- 2019 - 2020
- East Baltimore
- Class Times:
- M Tu W Th F, 8:30 - 11:50am
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:
- 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:
Attendance/participating in lectures (20%), 3 take-home assignments (15% each; 45% total), 1 final take-home project (35%)
- Instructor Consent:
Consent required for some students
- Consent Note:
Consent required for degree students.
- For consent, contact: