Lesson 19: Non-linear Models

Overview Section

Here we'll explore the logistic regression model and a function for least-squares fitting of arbitrarty non-linear functions.


Upon completion of this lesson, you should be able to:

  • Recognize when a logistic model would be appropriate
  • Fit a logistic model to proportion (group) data
  • Fit a logistic model to binary (individual) data
  • Interpret coefficients of the logistic model
  • Fit arbitrary non-linear models using nls()

Data and R Code Files Section

The R code file and data files for this lesson can be found on the Essential R - Notes on learning R page.