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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:

  1. Read multiple data formats into R
  2. Recode and manipulate data
  3. Write custom R functions and use add-on packages
  4. Make exploratory and customizable plots
  5. Perform, interpret, and visualize basic statistical tests
  6. 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:

musch@jhmi.edu