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When & Where
Thu, November 12, 2015 - 12:00 PM to 2:00 PM
Convening Room

Linear modeling is the one of the most flexible methods available in inferential statistics, but this flexibility comes at a learning cost. This intermediate workshop in R provides an introduction in and best practices for linear modeling. These include: 

  1. Customizing contrasts for factor variables
  2. Robusticity against violations of glm assumptions
  3. Stepwise regression
  4. Heterogeneous model comparison
  5. Logistic, Poisson, and other non-Gaussian models


  1. R version >= 3.2.0 installed
  2. The following packages installed: 
      • `MASS`
      • `robust`
      • `lmodel2`

  3.  Basic familiarity with `lm` is assumed


Training Host: 
D-lab Facilitator: 
Patty Frontiera
Participant Technology Requirement: 
Laptop required