This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R. Topics covered include multiple regression, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R. Prerequisite: Basic familiarity with R, such acquired through an introductory R workshop.
A limited number of lab computers will be available. If you bring your laptop please install R (http://cran.r-project.org/) and RStudio (http://www.rstudio.com/products/rstudio/download/) prior to the workshop.
This workshop is free for Harvard and MIT affiliates. Click here to sign up!
This workshop is full and registration is closed.
- Instructor - Ista Zahn
- Location - Rm K018, 1737 Cambridge St (CGIS Knafel Building)
For further details and registration information, please contact us at email@example.com.
The workshop slides can be viewed in your web browser below or you can download the slides along with example data sets and other workshop materials.