modif.rate: Computes the modified rates of variance of a correspondence...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/modif.rate.R

Description

Computes the modified rates of variance of a correspondence analysis.

Usage

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modif.rate(resmca)

Arguments

resmca

object of class 'MCA', 'speMCA' or 'csMCA'

Details

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.

Value

Returns a data frame with 2 variables:

mrate

Numeric vector of modified rates

cum.mrate

Numeric vector of cumulative modified rates

Author(s)

Nicolas Robette

References

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).

See Also

MCA, speMCA, csMCA

Examples

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## Computes the modified rates of variance
## of the MCA of 'Music' example data set
data(Music)
mca <- speMCA(Music[,1:5])
modif.rate(mca)

GDAtools documentation built on May 29, 2017, 9:48 p.m.