T3runsApproxFit: Approximated Tucker3 solutions
In ThreeWay: Three-Way Component Analysis

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

Computes all the approximated Tcker3 solutions using PCASup results with r1 (from 1 to maxa), r2 (from 1 to maxb) and r3 (from 1 to maxc) components.

1	T3runsApproxFit(X, n, m, p, maxa, maxb, maxc)

`X`	Matrix (or data.frame coerced to a matrix) of order (`n` `x` `mp`) containing the matricized array (frontal slices)
`n`	Number of `A`-mode entities
`m`	Number of `B`-mode entities
`p`	Number of `C`-mode entities
`maxa`	Maximum dimensionality for the `A`-mode
`maxb`	Maximum dimensionality for the `B`-mode
`maxc`	Maximum dimensionality for the `C`-mode

out

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

Cumulative sum of eigenvalues and fits from PCAsup applied to the A-, B- and C-modes are automatically printed.

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

H.A.L. Kiers (1991). Hierarchical relations among three-way methods. Psychometrika 56:449–470.

DimSelector, LineCon, pcasup3, T3

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)