Skip to main content
`Ctrl`+`K`

# 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)