slicetensor: Working with the indices of a tensor (accessing, slicing,...

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Indexing of tensors allows beside the ordinary selection of ranges of indices the renaming of indices. The functions are mainly here to keep the the tensor property of the results.

Usage

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slice.tensor(X,i,what,drop=FALSE)
## Methods for class tensor
# X[...,drop=TRUE]
# X[...,drop=TRUE] <- value
# X[[...,drop=TRUE]]
# X[[...,drop=TRUE]] <- value

Arguments

X

A tensor

i

an index given as number or character

what

levels of the index, a number or a character from dimnames

drop

a boolean, if true, indices with only a single level are removed

...

arguments of the form name=indices, and for the [[ ]] functions it also allowed to give names from the corresponding dimnames name=c("a","b") to select indices by names or name=~newname to rename dimensions, the first use makes a usual array access in the given dimension, where [[ ]] only supports a single index, while [ ] allows vectors. The other type changes the names.

Details

The functions allow to rename dimensions and to take select a part of the tensor.

Value

a new tensor with dimensions renamed or individual levels selected

Author(s)

K. Gerald van den Boogaart

See Also

einstein.tensor

Examples

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A <- to.tensor(1:20,c(A=2,B=2,C=5))
A[C=1]
A[C=1:3]
A[[B=~b]]                  # renaming dimensions
A[[B=~b,A=~aaa]]      
A[[B=~b,A=~aaa,aaa=1]]      
A[[A=1,B=~gamma]][C=1:2]
A 

tensorA documentation built on July 29, 2018, 5:01 p.m.

Related to slicetensor in tensorA...