This course is an introduction to two statistical-software packages, SAS and R, which are often used in professional practice. Some comparisons with other statistical-software packages will also be made. Topics include: data structures; reading and writing data; data manipulation, subsetting, reshaping, sorting, and merging; conditional execution and looping; built-in functions; creation of new functions or macros; graphics; matrices and arrays; simulations; select statistical applications.
3 credit hours
This 15 week course requires students to spend approximately 9 hours a week on course work.
Enrollment restrictions are subject to change. Please contact us for assistance.
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