PcaProj-class: Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen...

In rrcov: Scalable Robust Estimators with High Breakdown Point

Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm

Description

Holds the results of an approximation of the PP-estimators for PCA by a fast and simple algorithm: Croux and Ruiz-Gazen (2005) algorithm.

Objects from the Class

Objects can be created by calls of the form new("PcaProj", ...) but the usual way of creating PcaProj objects is a call to the function PcaProj() which serves as a constructor.

Slots

call, center, scale, rank, loadings, eigenvalues, scores, k, sd, od, cutoff.sd, cutoff.od, flag, n.obs:

from the "Pca" class.

Extends

Class "PcaRobust", directly. Class "Pca", by class "PcaRobust", distance 2.

Methods

getQuan

signature(obj = "PcaProj"): ...

Author(s)

Valentin Todorov [e-mail]

References

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v032.i03")}.

See Also

PcaRobust-class, Pca-class, PcaClassic, PcaClassic-class

Examples

showClass("PcaProj")

rrcov documentation built on May 29, 2024, 1:13 a.m.