sbp.fromPBA: Build SBP Matrix of Principal Balances

In balance: Visualize Balances of Compositional Data

Description

This function builds an SBP of principal balances using the hierarchical clustering of components method described by Pawlowsky-Glahn et al. in "Principal balances" from the CoDaWork 2011 proceedings.

Usage

sbp.fromPBA(x, alpha = NA)

Arguments

x	A matrix with rows as samples (N) and columns as components (D).
alpha	A double. Defines a hyper-parameter used by the Box-Cox transformation to approximate log-ratio variance in the presence of zeros. Skip with NA.

Value

An SBP matrix.

Author(s)

Thom Quinn

Examples

library(balance)
data(iris)
x <- iris[,1:4]
sbp.fromPBA(x)

balance documentation built on July 10, 2019, 9:03 a.m.