nexus (version 0.5.0)

condense: Compositional Mean of Data Subsets

Description

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

Usage

condense(x, ...)
# S4 method for CompositionMatrix
condense(x, by, ignore_na = FALSE, ignore_zero = TRUE, verbose = FALSE, ...)
# S4 method for GroupedComposition
condense(
  x,
  by = NULL,
  ignore_na = FALSE,
  ignore_zero = TRUE,
  verbose = FALSE,
  ...
)

Value

A CompositionMatrix object.

Arguments

x

A CompositionMatrix object.

...

Currently not used.

by

A vector or a list of grouping elements, each as long as the variables in x (see group()).

ignore_na

A logical scalar: should missing values be stripped before the computation proceeds?

ignore_zero

A logical scalar: should zeros be stripped before the computation proceeds?

verbose

A logical scalar: should R report extra information on progress?

Author

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)