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)

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