Coercion to a tensor

Coerces a array to a tensor keeping dimension and names.

as.tensor(X,...)
# Default S3 method
as.tensor(X,...,dims=NULL)
# S3 method for class 'tensor'
as.tensor(X,...)

Arguments

X

a multidimensional array

...

further generic arguments

dims

the new dim attribute to be used

Details

The main idea is that a multiway array like a vector or a matrix is nothing else than a tensor for R, but it still needs the tensor class be used with the tensorA library. However this is more a convenience function for migraters than a proper way construct a tensor, which is done by to.tensor.

Value

a tensor containing the same data as X

Note

You should typically use the to.tensor to generate a tensor, when you want to write vectorizable functions for tensors.

See also

to.tensor

Author

K. Gerald van den Boogaart

Examples

A <- diag(5)
as.tensor(A)
#>       I2
#> I1     [,1] [,2] [,3] [,4] [,5]
#>   [1,]    1    0    0    0    0
#>   [2,]    0    1    0    0    0
#>   [3,]    0    0    1    0    0
#>   [4,]    0    0    0    1    0
#>   [5,]    0    0    0    0    1
#> attr(,"class")
#> [1] "tensor" "matrix"