140.886.12 Introduction to R for Public Health Researchers
Cancelled
- Department:
- Biostatistics
- Term:
- Summer Inst. term
- Credits:
- 2 credits
- Academic Year:
- 2019 - 2020
- Location:
- East Baltimore
- Auditors Allowed:
- No
- Grading Restriction:
- Letter Grade or Pass/Fail
- Contact:
- John Muschelli
- Course Instructor:
- Resources:
- Prerequisite:
Previous exposure to hypothesis testing and statistical modeling
- Description:
-
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:
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: