EuclideanSpace-class {distr}R Documentation

Class "EuclideanSpace"

Description

The distribution-classes contain a slot where the sample space is stored. One typical sample space is the Euclidean Space in dimension k.

Usage

EuclideanSpace(dimension = 1)

Arguments

dimension positive integer: dimension of the Euclidean space (default =1)

Objects from the Class

Objects could theoretically be created by calls of the form new("EuclideanSpace", dimension, name). Usually an object of this class is not needed on its own. EuclideanSpace is the mother-class of the class Reals, which is generated automatically when a univariate absolutly continuous distribution is instantiated.

Slots

dimension:
Object of class "numeric": the dimension of the space, by default = 1
name:
Object of class "character": the name of the space, by default = "Euclidean Space"

Extends

Class "rSpace", directly.

Methods

initialize
signature(.Object = "EuclideanSpace"): initialize method
liesIn
signature(object = "EuclideanSpace", x = "numeric"): Does a particular vector lie in this space or not?
dimension
signature(object = "EuclideanSpace"): returns the dimension of the space
dimension<-
signature(object = "EuclideanSpace"): modifies the dimension of the space

Author(s)

Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel Peter.Ruckdeschel@itwm.fraunhofer.de,
Matthias Kohl Matthias.Kohl@stamats.de

See Also

rSpace-class Reals-class Distribution-class liesIn-methods

Examples

E <- EuclideanSpace(dimension = 2) 
dimension(E) # The dimension of this space is 2.
dimension(E) <- 3 # The dimension of this space is now 3.
liesIn(E,c(0,0,0)) # TRUE
liesIn(E,c(0,0)) # FALSE

[Package distr version 2.0.6 Index]