skbio.stats.ordination.pcoa_biplot

skbio.stats.ordination.pcoa_biplot(ordination, y)[source]

Compute the projection of descriptors into a PCoA matrix

State: Experimental as of 0.5.3.

This implementation is as described in Chapter 9 of Legendre & Legendre, Numerical Ecology 3rd edition.

Parameters:
  • ordination (OrdinationResults) – The computed principal coordinates analysis of dimensions (n, c) where the matrix y will be projected onto.
  • y (DataFrame) – Samples by features table of dimensions (n, m). These can be environmental features or abundance counts. This table should be normalized in cases of dimensionally heterogenous physical variables.
Returns:

The modified input object that includes projected features onto the ordination space in the features attribute.
Return type:

OrdinationResults