refold: Tensor refolding
In tensorMiss: Handle Missing Tensor Data with C++ Integration
refold R Documentation
Tensor refolding
Description
Performing to matrices tensorisation, which is the inverse process of unfolding
Usage
refold(unfolding, k, dim_vec)
Arguments
unfolding
A matrix.
k
An integer specifying the mode of array to refold from.
dim_vec
A vector specifying the expected dimension of output array.
Value
A multi-dimensional array
Examples
refold(matrix(1:9,nrow=3), 1, c(3,1,3));
tensorMiss documentation built on May 29, 2024, 2:11 a.m.
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| refold | R Documentation |
Tensor refolding
Description
Performing to matrices tensorisation, which is the inverse process of unfolding
Usage
refold(unfolding, k, dim_vec)
Arguments
unfolding |
A matrix. |
k |
An integer specifying the mode of array to refold from. |
dim_vec |
A vector specifying the expected dimension of output array. |
Value
A multi-dimensional array
Examples
refold(matrix(1:9,nrow=3), 1, c(3,1,3));
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.
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