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

Compute the projection of descriptors into a PCoA matrix.

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

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.


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