| LdaRobust-class {rrcov} | R Documentation |
Class "LdaRobust" is a virtual base class for all robust LDA classes
Description
The class LdaRobust searves as a base class for deriving all other
classes representing the results of the robust Linear Discriminant Analysis methods
Objects from the Class
A virtual Class: No objects may be created from it.
Slots
call:- The (matched) function call.
prior:- Prior probabilities used, default to group proportions
counts:- number of observations in each class
center:- the group means
cov:- the common covariance matrix
ldf:- a matrix containing the linear discriminant functions
ldfconst:- a vector containing the constants of each linear discriminant function
method:- a character string giving the estimation method used
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 "Lda", directly.
Methods
No methods defined with class "LdaRobust" in the signature.
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.
URL http://www.jstatsoft.org/v32/i03/.
See Also
Lda-class, LdaClassic-class,
Examples
showClass("LdaRobust")
[Package
rrcov version 1.0-00
Index]