Introduction to R

Adrian Rohit Dass, University of Toronto

Date: Friday, September 21

Time: 10 AM – 12 PM

Location: UC 44

Adrian Rohit Dass is a Research Coordinator at the Canadian Centre for Health Economics. He is also a third year PhD student at the Institute of Health Policy, Management, and Evaluation at the University of Toronto. He holds a MA in Economics from the University of Guelph. He is interested in the application of econometric methods to survey and administrative data from longitudinal studies. His primary area of research is applied micro-econometrics in the field of health economics.

Abstract

R is a statistical software environment that is available, free of charge, from the Comprehensive R Archive Network (https://www.r-project.org). It is often used for database management, which includes such tasks as merging datasets, creating new variables, recoding variables, subsetting data, etc. It also contains a wide array of statistical routines found in commercial software packages, including (but certainly not limited to) Ordinary Least Squares (OLS), binary responses (Logit/Probit), Panel Data Econometrics, Two-stage Least Squares/Instrumental Variable, Linear and Generalized Linear Mixed-Effects Models, Quantile Regression, etc.

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