Public Health 251D

This course is an intensive one-semester introduction to the R programming language for applied epidemiology. R is a freely available, multi-platform (Linux, Mac OS, Windows, etc.), versatile, and powerful program for statistical computing and graphics (http://www.r-project.org). This course will focus on core basics of organizing, managing, and manipulating epidemiologic data; basic epidemiologic applications; introduction to R programming; and basic R graphics.

Faculty

Tomás J. Aragón, MD, DrPH
University of California, Berkeley School of Public Health
Health Officer, City & County of San Francisco
San Francisco Department of Public Health

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Michael C. Samuel, DrPH
Chief, Surveillance and Epidemiology Section
STD Control Branch, DCDC, CID
California Department of Public Health

Target audience

This course is intended for epidemiologists, medical epidemiologists, data analysts, and demographers that want an introduction to the R language for epidemiologic applications.

Course objectives

Upon completion of this course, participants will be able to:

• Use R as a scientific calculator and a functional spreadsheet;
• Enter, manage, and manipulate epidemiologic data in R;
• Conduct basic epidemiologic analyses in R.;
• Graphically display epidemiologic data;
• Write basic R programs.

Course materials

• Aragon TJ, et al. Applied Epidemiology Using R. Available at http://berkeley.academia.edu/TomasAragon/Books .
• An Introduction to R. Freely available at http://cran.r-project.org/doc/manuals/R-intro.pdf (also comes with default installation)