ThreeWay (version 1.1.4)

pcasup2: PCASup Analysis

Description

Computes PCASup analysis for the directions concerning the reduced modes.

Usage

pcasup2(X, n, m, p, model)

Value

A list including the following components:

A

Matrix of the eingenvectors of the supermatrix containing the frontal slices of the array (A-mode)

B

Matrix of the eingenvectors of the supermatrix containing the horizontal slices of the array (B-mode)

C

Matrix of the eingenvectors of the supermatrix containing the lateral slices of the array (C-mode)

la

Vector of the eigenvalues of the supermatrix containing the frontal slices of the array (A-mode)

lb

Vector of the eigenvalues of the supermatrix containing the horizontal slices of the array (B-mode)

lc

Vector of the eigenvalues of the supermatrix containing the lateral slices of the array (C-mode)

Arguments

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

model

Tucker2 model choice (1 for T2-AB, 2 for T2-AC, 3 for T2-BC)

Author

Maria Antonietta Del Ferraro [email protected]
Henk A.L. Kiers [email protected]
Paolo Giordani [email protected]

References

H.A.L. Kiers (1991). Hierarchical relations among three-way methods. Psychometrika 56: 449--470.
H.A.L. Kiers (2000). Towards a standardized notation and terminology in multiway analysis. Journal of Chemometrics 14:105--122.
L.R Tucker (1966). Some mathematical notes on three-mode factor analysis. Psychometrika 31: 279--311.

See Also

T2

Examples

data(Bus)
# PCA-sup for T2-AB
pcasupBus <- pcasup2(Bus, 7, 5, 37, 1)