plot.bicomp

An object of class <code>bicomp</code>.

A numeric vector indicating which matrices to plot, with 0 = original data, 
1 = overall means, 2 = row means, 3 = column means and 4 = interactions.

which

Logical indicating whether the arrange the plots side-by-side
via <code><a rd-options="" href="/link/grid.arrange?package=lsbclust&version=1.1" data-mini-rdoc="lsbclust::grid.arrange">grid.arrange</a></code> or not.

arrange

A character vector of length three giving the parameters 
<code>low</code>, <code>mid</code> and <code>high</code> for <code><a rd-options="" href="/link/scale_fill_gradient2?package=lsbclust&version=1.1" data-mini-rdoc="lsbclust::scale_fill_gradient2">scale_fill_gradient2</a></code>.

Logical indicating whether to strip the legend off the plot or not.

strip.legend

Logical indicating whether to add titles to the plots or not.

add.titles

Additional arguments to <code><a rd-options="" href="/link/theme?package=lsbclust&version=1.1" data-mini-rdoc="lsbclust::theme">theme</a></code>.

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Plot method for an object of class <code>bicomp</code> (see <code><a rd-options="" href="/link/bicomp?package=lsbclust&version=1.1" data-mini-rdoc="lsbclust::bicomp">bicomp</a></code>).

Functions for performing least-squares bilinear clustering of
three-way data. The method uses the bilinear decomposition (or bi-additive
model) to model two-way matrix slices while clustering over the third way.
Up to four different types of clusters are included, one for each term of the
bilinear decomposition. In this way, matrices are clustered simultaneously on
(a subset of) their overall means, row margins, column margins and row-column
interactions. The orthogonality of the bilinear model results in separability of
the joint clustering problem into four separate ones. Three of these sub-problems
are specific k-means problems, while a special algorithm is implemented for the
interactions. Plotting methods are provided, including biplots for the low-rank
approximations of the interactions.

Pieter Schoonees

lsbclust

Least-Squares Bilinear Clustering for Three-Way Data

Patrick Groenen

plot.bicomp function

Logical indicating whether the arrange the plots side-by-side
via <code><a rd-options='' href='grid.arrange'>grid.arrange</a></code> or not.

A character vector of length three giving the parameters 
<code>low</code>, <code>mid</code> and <code>high</code> for <code><a rd-options='' href='scale_fill_gradient2'>scale_fill_gradient2</a></code>.

Additional arguments to <code><a rd-options='' href='theme'>theme</a></code>.

Plot method for an object of class <code>bicomp</code> (see <code><a rd-options='' href='bicomp'>bicomp</a></code>).

plot.bicomp: Plot a `bicomp` Object

Description

Usage

Arguments