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Steps in a PERMANOVA analysis

The two essential steps required to run a PERMANOVA analysis in PRIMER are always:

  • first, specify the design; and
  • then, run the PERMANOVA analysis, given the design, on a chosen resemblance matrix (arising from the data of interest).

Generally, we first need to get our data in to PRIMER, perform appropriate pre-treatment(s), if any, then calculate a resemblance matrix from this. A resemblance matrix will always serve as the starting point for any PERMANOVA analysis.

An analysis of only the mollusc species from the holdfasts in accordance with the three-factor hierarchical design, based on Jaccard resemblances, will follow the following steps:

  1. Open the example data file in the PRIMER workspace. Select a subset of the variables corresponding to only the mollusc species for what follows.
  2. Calculate Jaccard similarities* among the sampling units (individual holdfasts).
  3. Specify the experimental/sampling design (creating a design file).
  4. Run the PERMANOVA routine (partitioning and p-values via permutation for each term in the model.
  5. Do an ordination of distances among centroids to visualise the effects and the relative importance of the factors.

(*Note: the Jaccard resemblance measure utilises only presence/absence information, so we do not need to perform a pre-treatment transformation step for this example.)