Chapter 5 Setting up our goals

We will now dive into multivariate statistics, a tool set that will allow us to address questions requiring the simultaneous observation or analysis of more than one outcome variable.

We will explore certain methods, such as:

  1. Association (or dis-similarity) measures and matrices;

  2. Classification (or cluster) analysis;

  3. Unconstrained ordination;

  4. Constrained (or canonical) ordination (in Workshop 10).

Before everything, we will do a little review on matrix algebra.