condense: Compositional Mean of Data Subsets

In nexus: Sourcing Archaeological Materials by Chemical Composition

Compositional Mean of Data Subsets

Description

Splits the data into subsets and computes compositional mean for each.

Usage

condense(x, ...)

## S4 method for signature 'CompositionMatrix'
condense(x, by = groups(x), ...)

Arguments

x	A CompositionMatrix object.
...	Further arguments to be passed to mean().
by	A vector or a list of grouping elements, each as long as the variables in x. The elements are coerced to factors before use (in the sense that interaction(by) defines the grouping).

Value

A CompositionMatrix object.

Author(s)

N. Frerebeau

See Also

mean(), aggregate()

Other statistics: aggregate(), covariance(), dist, mahalanobis(), margin(), mean(), pip(), quantile(), scale(), variance(), variance_total(), variation()

Examples

## Data from Aitchison 1986
data("slides")

## Coerce to a compositional matrix
coda <- as_composition(slides, groups = 2)

## Compositional mean by group
condense(coda)

nexus documentation built on Sept. 11, 2024, 6:43 p.m.