mcafun function

Classical multiple correspondence analysis

This function is used in the secondary function mcabasic when the input parameter of MCAvariants is catype="mca". It performs the singular value decomposition of the weighted super-indicator matrix and compute principal axes, coordinates, weights of rows and columns and total inertia.

mcafun(XO, Burt, np, idr, idc, nmod)

Arguments

• XO: The super-indicator data table.
• Burt: The Burt data table.
• np: The number of categorical variables.
• idr: The row labels of data table.
• idc: The column labels of data table.
• nmod: The category number of each variable.

References

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

Author(s)

Rosaria Lombardo