Computes the modified rates of variance of a correspondence analysis.
object of class
As MCA clouds often have a high dimensionality, the variance rates of the first principle axes may be quite low, which makes them hard to interpret. Benzecri (1992, p.412) proposed to use modified rates to better appreciate the relative importance of the principal axes.
Returns a data frame with 2 variables:
Numeric vector of modified rates
Numeric vector of cumulative modified rates
Benzecri J.P., Correspondence analysis handbook, New-York: Dekker (1992).
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).
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