Learn R Programming

GDAtools (version 1.7.2)

angles.csa: Cosine similarities and angles between CSA and MCA

Description

Computes the cosines similarities and angles between the dimensions of a CSA and those of a MCA.

Usage

angles.csa(rescsa, resmca)

Value

A list of matrices:

cosines

Cosine similarities

angles

Angles

Arguments

rescsa

object of class 'csMCA'

resmca

object of class 'MCA' or 'speMCA'

Author

Nicolas Robette

Details

This function is adapted from 'csa.measures' in 'sco.ca' package.

References

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

Run this code
## Performs a specific MCA and a CSA on the 'Music' example data set
## and compute cosine similarities and angles
data(Music)
resmca <- speMCA(Music[,1:5],excl=c(3,6,9,12,15))
female <- Music$Gender=='Women'
rescsa <- csMCA(Music[,1:5],subcloud=female,excl=c(3,6,9,12,15))
angles.csa(rescsa, resmca)

Run the code above in your browser using DataLab