CPdimensionalityplot: Plot fit of Candecomp/Parafac
In ThreeWay: Three-Way Component Analysis

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

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

1	CPdimensionalityplot(A, n, m, p)

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

A is usually the first and fourth columns of 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 \& H. Van Houwelingen (1983). GEPCAM users' manual (first draft). Utrecht, The Netherlands: Institute of Mathematical Statistics, State University of Utrecht.

CP, DimSelector

data(TV)
TVdata=TV[[1]]
# permutation of the modes so that the A-mode refers to students
TVdata <- permnew(TVdata, 16, 15, 30)
TVdata <- permnew(TVdata, 15, 30, 16)
# Fit values of CP with different numbers of components (from 1 to 5)
FitCP <- CPrunsFit(TVdata, 30, 16, 15, 5)
OutCP <- FitCP[,c(1,4)]
CPdimensionalityplot(OutCP, 30, 16, 15)