Main printing function
This function prints results of classical or ordered multiple correspondence analysis. The input parameter is the name of the output of the main function MCAvariants.
## S3 method for class 'MCAvariants' print(x, printdims = 2,...)
x: The output of the main function CAvariants.printdims: The number of dimensions, printdims, that are used to generate the correspondence plot and for summarising the numerical output of the analysis. By default, printdims = 2....: Further arguments passed to or from other methods.This function uses another function (called printwithaxes) for specifying the number of matrix dimensions to print.
The value of output returned depends on the kind of multiple correspondence analysis performed. - DataTable: The Burt data table.
Row coordinates: Rows in principal coordinates: the first 10.
Column coordinates: Column in principal coordinates.
Polynomials: Polynomial functions of each variable. When catype is omca.
Linear Percentage of Clusters: The percentage of individuals belonging to each cluster. When catype is omca.
Polynomial Components of Total Inertia: The decomposition of total inertia via orthogonal polynomials. When catype is omca.
Degree of Freedom: Degree of Freedom of Polynomial Component. When catype is omca.
Inertia values: Inertia values of super-indicator and Burt table.
Benzecri's Inertia values: Adjusted Inertia values, percentages and cumulative.
Total Degree of Freedom: The degree of freedom of total inertia.
Total inertia of X: Total inertia of Super-Indicator table
Total inertia of B: Total inertia of BURT table.
Chi-square values: Chi-square values of BURT Inertia.
Total Chi-square values: Chi-square values of total Inertia of Burt table.
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
Rosaria Lombardo
res=MCAvariants(satisfaction, catype = "omca", np = 5, vordered=c(TRUE,TRUE,TRUE,TRUE,TRUE)) print(res)