| SPcaGrid-class {rrcovHD} | R Documentation |
Class SPcaGrid - Sparse Robust PCA using PP - GRID search Algorithm
Description
Holds the results of an approximation of the PP-estimators for sparse and robust PCA using the grid search algorithm in the plane.
Objects from the Class
Objects can be created by calls of the form new("SPcaGrid", ...) but the
usual way of creating SPcaGrid objects is a call to the function
SPcaGrid() which serves as a constructor.
Slots
call,center,scale,loadings,eigenvalues,scores,k,sd,od,cutoff.sd,cutoff.od,flag,n.obs:-
from the
"Pca-class"class.
Extends
Class "PcaGrid", directly.
Class "PcaRobust", by class "PcaGrid", distance 2.
Class "Pca", by class "PcaGrid", distance 3.
Methods
- getQuan
signature(obj = "SPcaGrid"): ...
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.
C. Croux, P. Filzmoser, H. Fritz (2013). Robust Sparse Principal Component Analysis, Technometrics 55(2), pp. 202–2014, doi:10.1080/00401706.2012.727746.
V. Todorov, P. Filzmoser (2013). Comparing classical and robust sparse PCA. In R Kruse, M Berthold, C Moewes, M Gil, P Grzegorzewski, O Hryniewicz (eds.), Synergies of Soft Computing and Statistics for Intelligent Data Analysis, volume 190 of Advances in Intelligent Systems and Computing, pp. 283–291. Springer, Berlin; New York. ISBN 978-3-642-33041-4, doi:10.1007/978-3-642-33042-1_31.
See Also
SPcaGrid, PcaGrid-class, PcaRobust-class, Pca-class, PcaClassic, PcaClassic-class
Examples
showClass("SPcaGrid")