step.g3ordered: The core array derived via the Trivariate Moment...
In CA3variants: Three-Way Correspondence Analysis Variants
View source: R/step.g3ordered.R
step.g3ordered R Documentation
The core array derived via the Trivariate Moment Decomposition model.
Description
The Trivariate Moment Decomposition model involves the computation of
principal polynomial components, which are derived for each of the three categorical
variables, and of the polynomial core array which is akin to the generalised correlations
between these components. The function step.g3ordered computes the core array.
Usage
step.g3ordered(param)
Arguments
param
The weighted three-way table and the matrices of the row, column and tube components
derived via the Trivariate Moment Decomposition algorithm.
Value
The core matrix whose the general element can be interpreted as a generalized singular value.
Author(s)
Rosaria Lombardo, Eric J Beh, Ida Camminatiello.
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/step.g3ordered.R
| step.g3ordered | R Documentation |
The core array derived via the Trivariate Moment Decomposition model.
Description
The Trivariate Moment Decomposition model involves the computation of
principal polynomial components, which are derived for each of the three categorical
variables, and of the polynomial core array which is akin to the generalised correlations
between these components. The function step.g3ordered computes the core array.
Usage
step.g3ordered(param)
Arguments
param |
The weighted three-way table and the matrices of the row, column and tube components derived via the Trivariate Moment Decomposition algorithm. |
Value
The core matrix whose the general element can be interpreted as a generalized singular value.
Author(s)
Rosaria Lombardo, Eric J Beh, Ida Camminatiello.
References
Beh EJ and Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. John Wiley & Sons.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.