partial_pb_constrained: Constrained search for a partial principal balance on grouped...
In coda.base: A Basic Set of Functions for Compositional Data Analysis

partial_pb_constrained

R Documentation

Constrained search for a partial principal balance on grouped parts

Builds a single grouped constrained principal balance from the first principal component of the grouped composition.

partial_pb_constrained(X, lI = NULL, constrained.criterion = "variance")

`X`	A numeric matrix with strictly positive finite entries. Rows are observations and columns are compositional parts.
`lI`	A list defining a partition of a subset of the columns of `X`. If `NULL`, each column of `X` is used as a singleton group.
`constrained.criterion`	Criterion used to choose the constrained balance. Either `"variance"` (default) or `"angle"`.

A list with the following elements:

dim: Dimension of the grouped problem, equal to length(lI) - 1.
lI: The input grouping structure.
variance: Variance criterion of the selected grouped balance.
balance_raw: Integer vector in \{-1,0,1\} describing the selected grouped split.
balance: The corresponding one-column balance basis.
constrained.criterion: Criterion used to construct the balance.