margin: Marginalization of tensors
In tensorA: Advanced Tensor Arithmetic with Named Indices
margin.tensor R Documentation
Marginalization of tensors
Description
The function removes dimensions from a tensor by summing all entries
which only differ in these dimensions.
Usage
margin.tensor(X,i=NULL,by=NULL)
Arguments
X
the tensor
i
the dimensions to be removed
by
instead of i the dimensions to be kept
Details
This is a tensor multiplication with the 1_i tensor.
Value
The tensor with all elements only differing only in the dimensions
specified added up and only the other dimensions left over.
Author(s)
K. Gerald van den Boogaart
See Also
to.tensor
Examples
A <- diag(1:5)
A
margin.tensor(A,1)
A <- to.tensor(1:30,dim=c(i=3,j=5,k=2))
ftable(A)
margin.tensor(A,"j")
tensorA documentation built on June 25, 2024, 1:16 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| margin.tensor | R Documentation |
Marginalization of tensors
Description
The function removes dimensions from a tensor by summing all entries which only differ in these dimensions.
Usage
margin.tensor(X,i=NULL,by=NULL)
Arguments
X |
the tensor |
i |
the dimensions to be removed |
by |
instead of i the dimensions to be kept |
Details
This is a tensor multiplication with the 1_i tensor.
Value
The tensor with all elements only differing only in the dimensions specified added up and only the other dimensions left over.
Author(s)
K. Gerald van den Boogaart
See Also
to.tensor
Examples
A <- diag(1:5)
A
margin.tensor(A,1)
A <- to.tensor(1:30,dim=c(i=3,j=5,k=2))
ftable(A)
margin.tensor(A,"j")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.