condense function

Compositional Mean of Data Subsets

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

condense(x, ...)

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

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

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 report extra information on progress?

Returns

A CompositionMatrix object.

Examples

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

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

## Compositional mean by group
condense(coda)

See Also

mean(), aggregate()

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

Author(s)

N. Frerebeau