skbio.stats.ordination.pcoa_biplot#

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

Compute the projection of descriptors into a PCoA matrix.

Parameters:
ordinationOrdinationResults

The computed principal coordinates analysis of dimensions (n, c) where the matrix y will be projected onto.

yDataFrame

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:
OrdinationResults

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

Notes

This implementation is as described in Chapter 9 of [1].

References

[1]

Legendre P. and Legendre L. 1998. Numerical Ecology. Elsevier, Amsterdam.