Monday, November 28, 2011 14h16h
Eric Pedersen
Topics What is non linearity?
 What are GAMs, and how do they allow us to handle nonlinear relationships?
 How to understand and plot nonlinear relationships
 Including interacts
Learning Objectives Use the mgcv package to fit nonlinear relationships
 Understand the output of a GAM to help you understand your data
 Use tests to determine if a nonlinear model fits better than a linear one
 Include smooth interactions between variables
 Using the family function to allow for different distributions of data
 Understand the idea of a basis function, and why it makes GAMS so powerful
Prerequisites Some experience at R; enough to be able to run a script and examine data and R objects
 A basic knowledge of regression: you should know what we mean by linear regression and ANOVA

Updating...
RWorkshopGeneralizedAdditiveModelsscript.R (3k) Eric Pedersen, Nov 28, 2011, 8:20 AM
Ċ Eric Pedersen, Nov 28, 2011, 8:20 AM
