Description Usage Arguments Note Author(s) References Examples

This function is used in the main function `CAvariants`

when the input parameter is `catype = "SOCA"`

.
It performs the hybrid decomposition of the Pearson's ratio and
computes principal axes for rows and polynomial axes for columns, coordinates, weights of rows and columns,
total inertia (equal to the Pearson's index) and the rank of the matrix.
It allows the analyst to decompose the inertia in terms of the column polynomial components.

1 | ```
socabasic(Xtable, mj)
``` |

`Xtable` |
The two-way contingency table. |

`mj` |
The set of ordered column scores. |

This function belongs to the `R`

object class called `cabasicresults`

.

Rosaria Lombardo and Eric J. Beh

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.

1 2 3 |

CAvariants documentation built on Sept. 21, 2018, 6:33 p.m.

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