RSimca-class function

Class "RSimca" - robust classification in high dimensions based on the SIMCAmethod

The class RSimca represents robust version of the SIMCA algorithm for classification in high dimensions. The objects of class RSImca contain the results of the robust SIMCA method. 1.1

class

Objects from the Class

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

Slots

• call:: the (matched) function call.
• prior:: prior probabilities used, default to group proportions
• counts:: number of observations in each class
• pcaobj:: A list of Pca objects - one for each group
• k:: Object of class "numeric" number of (choosen) principal components
• flag:: Object of class "Uvector" The observations whose score distance is larger than cutoff.sd or whose orthogonal distance is larger than cutoff.od can be considered as outliers and receive a flag equal to zero. The regular observations receive a flag 1
• X:: the training data set (same as the input parameter x of the constructor function)
• grp:: grouping variable: a factor specifying the class for each observation.

Extends

Class "Simca", directly.

Methods

No methods defined with class "RSimca" in the signature.

References

Vanden Branden K, Hubert M (2005) Robust classification in high dimensions based on the SIMCA method. Chemometrics and Intellegent Laboratory Systems 79:10--21

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32 (3), 1--47, tools:::Rd_expr_doi("10.18637/jss.v032.i03") .

Todorov V & Filzmoser P (2014), Software Tools for Robust Analysis of High-Dimensional Data. Austrian Journal of Statistics, 43 (4), 255--266, tools:::Rd_expr_doi("10.17713/ajs.v43i4.44") .

Author(s)

Valentin Todorov valentin.todorov@chello.at

Examples

showClass("RSimca")