bicomp: Bilinear Decomposition of a Matrix

In lsbclust: Least-Squares Bilinear Clustering for Three-Way Data

Description

Decomposes a matrix into an overall mean matrix, row margins matrix, column margins matrix and an interaction matrix, depending on delta.

Usage

bicomp(x, delta = c(1, 1, 1, 1), which = 0L:4L)

Arguments

x	A matrix to be decomposed.
delta	A vector of length four with 0/1 entries which controls the type of decomposition made.
which	A vector giving the elements to return, with 0 = original data, 1 = overall means, 2 = row means, 3 = column means and 4 = interactions.

Value

An object of class bicomp, possible also inheriting from class data.frame, which is either a named list with the required components, or a single matrix if a single component is requested. An additional attribute return_type gives information on the type of matrices returned.

lsbclust documentation built on May 1, 2019, 10:27 p.m.