eigenvalues: The Eigenvalues of an Analysis

In ggfacto: Graphs for Correspondence Analysis

The Eigenvalues of an Analysis

Description

The table of the eigenvalues of the axes, the one interpret prints under its table: the variance of each axis, its percentage and the cumulated percentage, and for a multiple correspondence analysis Benzecri's modified rate, which corrects the raw percentages. It is read to choose how many axes to interpret.

Usage

eigenvalues(res, n_axes = 8L, color = TRUE, lang = NULL)

Arguments

res	An analysis made with multiple_correspondence_analysis, correspondence_analysis or principal_component_analysis (or with FactoMineR::MCA(), CA() or PCA(), or GDAtools::speMCA() or csMCA()).
n_axes	How many axes to print. When some are left out, a last row states how many the cloud has.
color	Set to FALSE to draw no data bar behind the percentages.
lang	NULL (the session's language), "en" or "fr".

Value

A tabxplor table, printed as options(tabxplor.print) says.

See Also

[interpret()], [benzecri_mrv()].

Examples

data(tea, package = "FactoMineR")
res.mca <- multiple_correspondence_analysis(tea, 1:18)
eigenvalues(res.mca)

ggfacto documentation built on Sept. 23, 2026, 1:08 a.m.