summary.cellPcaCoDa: Summary method for cellwise-robust compositional PCA

In robCompositions: Compositional Data Analysis

Summary method for cellwise-robust compositional PCA

Description

Provides a more detailed summary than print.cellPcaCoDa, including individual and cumulative proportions of variance for all eigenvalues as well as the contamination rate per variable.

Usage

## S3 method for class 'cellPcaCoDa'
summary(object, ...)

Arguments

object	object of class "cellPcaCoDa" as returned by cellPcaCoDa
...	additional arguments (currently ignored)

Value

Invisibly returns a list with components importance (a matrix of variance proportions) and flagrate (per-variable contamination rate).

Author(s)

Matthias Templ

See Also

cellPcaCoDa, print.cellPcaCoDa, plot.cellPcaCoDa

Examples

data(arcticLake)
res <- cellPcaCoDa(arcticLake, k = 2)
summary(res)

robCompositions documentation built on Nov. 1, 2026, 1:06 a.m.