Lda-class {rrcov}R Documentation

Class "Lda" - virtual base class for all classic and robust LDA classes

Description

The class Lda serves as a base class for deriving all other classes representing the results of classical and robust Linear Discriminant Analisys 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.

Methods

predict
signature(object = "Lda"): calculates prediction using the results in object. An optional data frame or matrix in which to look for variables with which to predict. If omitted, the scores are used. If the original fit used a formula or a data frame or a matrix with column names, newdata must contain columns with the same names. Otherwise it must contain the same number of columns, to be used in the same order.
show
signature(object = "Lda"): prints the results
summary
signature(object = "Lda"): prints summary information

Author(s)

Valentin Todorov valentin.todorov@chello.at

See Also

LdaClassic, LdaClassic-class, LdaRobust-class

Examples

showClass("Lda")

[Package rrcov version 0.5-01 Index]