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Dealing with non-linearity using Generalized Additive Models

Monday, November 28, 2011  14h-16h
Eric Pedersen

Topics

  • What is non linearity?
  • What are GAMs, and how do they allow us to handle non-linear relationships?
  • How to understand and plot non-linear relationships
  • Including interacts

Learning Objectives

  • Use the mgcv package to fit non-linear relationships
  • Understand the output of a GAM to help you understand your data
  • Use tests to determine if a non-linear 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

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RWorkshop-GeneralizedAdditiveModelsscript.R
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Eric Pedersen,
Nov 28, 2011, 8:20 AM
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Eric Pedersen,
Nov 28, 2011, 8:20 AM
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