Chapter 1 Learning objectives

  1. Learn the basics of multivariate analysis to reveal patterns in community composition data

  2. Use R to perform an unconstrained ordination

  3. Learn about similarity and dissimilarity coefficients and transformations to perform multivariate analysis

  4. Use R to create dendrograms

  5. Learn the following methods:

  • Clustering analysis
  • Principal Component Analysis (PCA)
  • Principal Coordinate Analysis (PCoA)
  • Non-Metric MultiDimensional Scaling (NMDS)