Introduction to the R Statistical Programming Language & Environment | Brown School at Washington University in St. Louis
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Introduction to the R Statistical Programming Language & Environment

Registration deadline: June 7th

15 CEUs/CPH units

Todd Combs, PhD
Senior Data Analyst, Center for Public Health Systems Science
Brown School

This course will introduce students to the fundamentals of the R language and RStudio environment. The course will begin with how to obtain and install R and RStudio, import data, create descriptive statistics, and plot simple graphics. Next, we will delve into data structures and classes, data manipulation and management, and common data analyses (t-tests, ANOVAs, correlations, regressions, etc.). During the final sessions, students will explore R's graphics capabilities and use some of the publishing tools built into RStudio in order to learn how to generate reproducible research.

Note: This class presupposes a working knowledge of statistics and previous experience working with a statistical software package. Students should have passed a basic statistics class and previous experience with SAS, SPSS, Stata, or otherwise using basic quantitative statistics skills within the last 5 years.

Class size is limited to 25.

$650 General admission
$450 Non-profit/government employees (1st Summer Institute class)
$400 Non-profit/government employees (Additional Summer Institute classes)

This class will include both degree-seeking graduate students and practicing professionals. Individuals registering through Professional Development will receive continuing education units - but not academic credit - for the class.

Recommended reading purchase of R Data for Science is optional.  

About the Instructor:

Todd Combs is a Senior Data Analyst at the Brown School's Center for Public Health Systems Science.
His projects include ASPiRE (Advancing Science and Policy in the Retail Environment), which assesses
retail tobacco policy activity in the US and Tobacco Town Minnesota, which uses agent-based modeling
to test the potential impact of retail tobacco policies in Minnesota. Todd has consulted for various local
non-profit organizations performing data analysis and program evaluation. He has also served as Adjunct Faculty for the Brown School, teaching courses in transdisciplinary tobacco control approaches and quantitative analysis.  Todd holds a PhD in political science from the University of Missouri - St. Louis.

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