INTRODUCTION TO R FOR PUBLIC HEALTH RESEARCHERS Syllabus
Course 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
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. 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.
Public health practitioners, clinicians, School of Medicine students, degree students with permission from the Biostatistics department, Summer Institute participants
Methods of Assessment
Grading Policy: Attendance/participating in lectures (20%), 3 take-home assignments (15% each; 45% total), 1 final take-home project (35%)
Grading Restrictions: Letter grade
Previous exposure to hypothesis testing and statistical modeling
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: firstname.lastname@example.org, 410-955-3034, or 2017 E. Monument Street.