nsca3basic: Three-way Non-Symmetrical Correspondence Analysis

In CA3variants: Three-Way Correspondence Analysis Variants

Three-way Non-Symmetrical Correspondence Analysis

Description

This function is used in the main function CA3variants when the input parameter is catype="NSCA3".
It decomposes the Marcotorchino index, computes principal axes, coordinates, weights of rows and columns,
total inertia (equal to the Marcotorchino index) and the rank of the matrix.

Usage

nsca3basic(x, p, q, r, test = 10^-6, ctr = T, std = T, sign = TRUE)

Arguments

x	The three-way contingency table.
p	The number of components of the first mode.
q	The number of components of the second mode.
r	The number of components of the third mode.
test	The treshold used in the algorithm.
ctr	The flag parameter to center the data (T or F), if F the data are not centered.
std	The flag parameter to weight the data (T or F), if F the data are not weighted.
sign	The input parameter for changing the sign to the components according to the core sign.

Value

x	The original three-way contingency table.
xs	The weighted three-way contingency table.
xhat	The three-way contingency table reconstructed after Tuckals3 by means of the principal components and core array.
nxhat2	The inertia of the three-way non-symmetrical correspondence analysis for one response (the three-way Marcotorchino index).
prp	The proportion of inertia reconstructed using the principal components and the core array to the total inertia. To select the model dimensions (number of principal components), we examine the inertia explained by the p, q, r principal components with respect to the overall fit.
a	The row principal components.
b	The column principal components.
cc	The tube principal components.
g	The core array (generalized singular values) calculated by using the Tuckals3 algorithm. They help to explain the strength of the association among the three principal components.
iteration	The number of iterations that are required for the TUCKALS3 algorithm to converge.

Author(s)

Rosaria Lombardo, Eric J Beh.

References

Beh EJ and Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. John Wiley & Sons.

CA3variants documentation built on Oct. 10, 2022, 5:07 p.m.