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