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

Distance matrix-based statistics (skbio.stats.distance)

Ordination methods#

ordination

Ordination methods (skbio.stats.ordination)

Composition statistics#

composition

Composition Statistics (skbio.stats.composition)

Data subsampling#

subsample_counts(counts, n[, replace, seed])

Randomly subsample from a vector of counts, with or without replacement.

isubsample(items, maximum[, minimum, ...])

Randomly subsample items from bins, without replacement.

Other statistical methods#

evolve

Evolutionary statistics (skbio.stats.evolve)

gradient

Gradient analyses (skbio.stats.gradient)

power

Empirical Power Estimation (skbio.stats.power)