LdaClassic-class: Class "LdaClassic" - Linear Discriminant Analysis

In rrcov: Scalable Robust Estimators with High Breakdown Point

Class "LdaClassic" - Linear Discriminant Analysis

Description

Contains the results of a classical Linear Discriminant Analysis

Objects from the Class

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

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 "LdaClassic" in the signature.

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

LdaRobust-class, Lda-class, LdaClassic

Examples

showClass("LdaClassic")

rrcov documentation built on July 9, 2023, 6:03 p.m.