Learn R Programming

CAvariants (version 5.0)

nscabasic: Non symmetrical two-way correspondence analysis

Description

This function is used in the main function CAvariants when the input parameter is catype = "NSCA". It calculates the singular value decomposition of the numerator of the Goodman-Kruskal tau index (index of predictability), computes principal axes, coordinates, weights of rows and columns, total inertia (equal to the numerator of the tau index) and the rank of the matrix.

Usage

nscabasic(Xtable)

Arguments

Xtable

The two-way contingency table.

References

Beh EJ and Lombardo R 2014 Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons. Lombardo R Beh EJ 2016 Variants of Simple Correspondence Analysis. The R Journal, 8 (2), 167--184. Lombardo R Beh EJ and Kroonenberg PM 2016 Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials. Psychometrika, 81(2), 325--349.

Examples

Run this code
# NOT RUN {
data(asbestos)
nscabasic(asbestos)
# }

Run the code above in your browser using DataLab