| PcaProj-class {rrcov} | R Documentation |
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 valentin.todorov@chello.at
References
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. doi:10.18637/jss.v032.i03.
See Also
PcaRobust-class, Pca-class, PcaClassic, PcaClassic-class
Examples
showClass("PcaProj")
[Package rrcov version 1.7-5 Index]