T3dimensionalityplot: Plot fit of Tucker3
In ThreeWay: Three-Way Component Analysis

Description Usage Arguments Note Author(s) References See Also Examples

Plots fits against numbers of dimensions, with PQR as labels and fits against number of effective paramaters.

1	T3dimensionalityplot(A, n, m, p)

`A`	Matrix with columns: number of components for the `A`-mode, number of components for the `B`-mode, number of components for the `C`-mode, goodness of fit (%), total number of components
`n`	Number of `A`-mode entities
`m`	Number of `B`-mode entities
`p`	Number of `C`-mode entities

A is usually the output of DimSelector.
The number of effective parameters in a Candecomp/Parafac analysis is discussed in Weesie and Van Houwelingen (1983).

Maria Antonietta Del Ferraro mariaantonietta.delferraro@yahoo.it
Henk A.L. Kiers h.a.l.kiers@rug.nl
Paolo Giordani paolo.giordani@uniroma1.it

E. Ceulemans \& H.A.L. Kiers (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical and Statistical Psychology 59:133–150.
J. Weesie and H. Van Houwelingen (1983). GEPCAM users' manual (first draft). Utrecht, The Netherlands: Institute of Mathematical Statistics, State University of Utrecht.

T3, DimSelector

data(Bus)
# Fit values of T3 with different numbers of components (from 1 to 4 for the A-mode, 
# from 1 to 3 for the B-mode, from 1 to 5 for the C-mode)
FitT3 <- T3runsApproxFit(Bus,7,5,37,4,3,5)
T3dimensionalityplot(FitT3,7,5,37)