[R] cumulative % explained in mca() library(MASS)

From: Stefano Cabras <s.cabras_at_unica.it>
Date: Fri 02 Dec 2005 - 21:11:07 EST


Hi,
using mca function in library(MASS) I obtained the following result:

> miacm=mca(factor.variables,abbrev=TRUE,nf=11)
> miacm

Call:
mca(df = factor.variables, nf = 11, abbrev = TRUE)

Multiple correspondence analysis of 1000 cases of 3 factors

Correlations 0.605 0.599 0.586 0.577 0.577 0.577 0.571 0.555 0.546 0.000 0.000 cumulative % explained 30.23 60.18 89.49 118.35 147.22 176.09 204.62 232.37 259.69 259.69 259.69

Burt matrix is 12 by 12.

Does anyone know how can the percentage of explained variability be greater than 100?

Thank you,
Stefano Cabras
University of Cagliari (Italy)



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