Computes correlation ratios (also known as eta-squared) for a list of supplementary variables of a MCA.
dimeta2(resmca, vars, dim = c(1,2))
object of class
a data frame of supplementary variables
the axes for which eta2 are computed. Default is c(1,2)
Returns a data frame with supplementary variables as rows and MCA axes as columns.
Le Roux B. and Rouanet H., Multiple Correspondence Analysis, SAGE, Series: Quantitative Applications in the Social Sciences, Volume 163, CA:Thousand Oaks (2010).
Le Roux B. and Rouanet H., Geometric Data Analysis: From Correspondence Analysis to Stuctured Data Analysis, Kluwer Academic Publishers, Dordrecht (June 2004).