Multivariate Statistics (skbio.stats)#
This module provides various statistical methods to support the analyses of high-dimensional biological data to uncover the relationships among samples, features and metadata. Examples include distance matrix-based statistics, ordination methods, composition statistics, and data subsampling techniques.
Distance matrix statistics#
Distance matrix-based statistics (skbio.stats.distance) |
Ordination methods#
Ordination methods (skbio.stats.ordination) |
Composition statistics#
Composition Statistics (skbio.stats.composition) |
Data subsampling#
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Randomly subsample from a vector of counts, with or without replacement. |
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Randomly subsample items from bins, without replacement. |
Other statistical methods#
Evolutionary statistics (skbio.stats.evolve) |
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Gradient analyses (skbio.stats.gradient) |
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Empirical Power Estimation (skbio.stats.power) |