| 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.
covobj:object of class
"Cov"containing the estimate of the common covariance matrix of the centered data. It is not NULL only in case of method "B".control:object of class
"CovControl"specifying which estimate and with what estimation options to use for the group means and common covariance (orNULLfor classical linear discriminant analysis)
Methods
- predict
signature(object = "Lda"): calculates prediction using the results inobject. An optional data frame or matrix in which to look for variables with which to predict. If omitted, the training data set is 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
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.
See Also
LdaClassic, LdaClassic-class, LdaRobust-class
Examples
showClass("Lda")