skbio.stats.ordination.pcoa_biplot#
- 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.
- Parameters:
- ordination: OrdinationResults
The computed principal coordinates analysis of dimensions (n, c) where the matrix
ywill 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:
- OrdinationResults
The modified input object that includes projected features onto the ordination space in the
featuresattribute.