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

In GDAtools: Geometric Data Analysis

Cosine similarities and angles between CSA and MCA

Description

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

Usage

angles.csa(rescsa, resmca, naxes = 3)

Arguments

rescsa	object of class csMCA
resmca	object of class MCA or speMCA
naxes	integer. Number of axes to retain. Default is 3.

Value

A list of matrices:

cosines	Cosine similarities between CSA and MCA dimensions
angles.with.dims	Angles between CSA and MCA dimensions
angles.with.planes	Angles between CSA dimensions and MCA planes
best.planes	Angles between each CSA dimension and its closest MCA plane

Author(s)

Lucas Page Pereira, Nicolas Robette

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

## Performs a specific MCA and a CSA on the Music example data set
## and computes cosine similarities and angles
data(Music)
junk <- c("FrenchPop.NA", "Rap.NA", "Rock.NA", "Jazz.NA", "Classical.NA")
resmca <- speMCA(Music[,1:5], excl = junk)
female <- Music$Gender=="Women"
rescsa <- csMCA(Music[,1:5], subcloud = female, excl = junk)
angles.csa(rescsa, resmca)

GDAtools documentation built on Oct. 1, 2026, 5:08 p.m.