It performs Classic Multiple Correspondence analysis for nominal variables
(setting catype = "mca") and Ordered Multiple Correspondence analysis via orthogonal polynomials (setting catype="omca").
When the categorical variables are nominal and ordinal, you can specify writing FALSE or TRUE in the input parameter vordered.
MCAvariants(Xtable, catype = "omca", np = 5, vordered=c(TRUE,TRUE,TRUE,TRUE,TRUE))Description of the output returned
The starting table of variables in reduced (primitive) code.
The row number of the starting table.
The column number of the starting table (coincident with the variable number).
The label of the row individuals.
The label of the column variable categories.
The coordinates of individuals.
The category variable coordinates.
The total inertia when multiple correspondence analysis is performed on the indicator table.
The total inertia when multiple correspondence analysis is performed on the Burt table.
Benzecri's Adjusted Inertia values, percentages and cumulative values.
The adjusted inertia values.
The kind of multiple correspondence analysis chosen, classical or ordered, that is catype is “mca” or “omca”.
The dimension of a matrix in print. By default it is equal to 3.
The polynomial components of inertia when catype is “omca”. The total inertia is partitioned in terms
of polynomial components.
The p-value of the polynomial components of total inertia, when catype is “omca”.
The degree of freedom of polynomial components of total inertia when, catype is “omca”.
The two-way contingency table.
The input parameter for specifying what variant of multiple correspondence analysis is considered.
By default, catype = "mca".
The input parameter for specifying the number of categorical variables. By default, np = 5.
The flag parameter for specifying what variable is ordered, the ordered variables should be in column close each other.
By default, all the five variables are ordered: vordered = c(TRUE,TRUE,TRUE,TRUE,TRUE).
Rosaria Lombardo and Eric J Beh
Lombardo R and Meulman JJ (2010) Journal of Classification, 27, 191-210.
Beh EJ Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. Wiley