EuclideanSpace-class {distr} | R Documentation |
The distribution-classes contain a slot where the sample space is stored. One typical sample space is the Euclidean Space in dimension k.
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.
dimension
:"numeric"
: the dimension of the space, by default = 1 name
:"character"
: the name of the space, by default = "Euclidean Space"
Class "rSpace"
, directly.
signature(.Object = "EuclideanSpace")
: initialize method signature(object = "EuclideanSpace", x = "numeric")
: Does a particular vector lie in this space or
not?
signature(object = "EuclideanSpace")
: returns the dimension of the space signature(object = "EuclideanSpace")
: modifies the dimension of the space
Thomas Stabla Thomas.Stabla@uni-bayreuth.de,
Florian Camphausen Florian.Camphausen@uni-bayreuth.de,
Peter Ruckdeschel Peter.Ruckdeschel@uni-bayreuth.de,
Matthias Kohl Matthias.Kohl@uni-bayreuth.de
rSpace-class
Reals-class
Distribution-class
liesIn-methods
E=new("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