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This course provides an introduction to applied statistical modeling with R in psychology. It covers R basics including how to program in R, writing R functions, debugging and organizing R codes. In addition, students will learn foundational data science tools, such as data cleaning, data visualization,creating reproducible data analysis reports, and building interactive web applications. Examples and data will be provided to illustrate how to conduct effective data analysis using R. Advanced statistical modeling tools will be discussed including linear models, logistic regression, Poisson regression, and models for data with a zero-inflated distribution. Step-by-step tutorials on how these analyses can be conducted using R will be provided. No previous experience of using R is required.

College/Department: College of Arts and Sciences
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if major is PSY and program is MS or PHD.