aperm2: Generalized permutation of the dimensions of an array

In Bioconductor/S4Arrays: Foundation of array-like containers in Bioconductor

Generalized permutation of the dimensions of an array

Description

aperm2() extends the functionality of base::aperm() by allowing dropping and/or adding ineffective dimensions (i.e. dimensions with an extent of 1) from/to the input array, in addition to permuting its dimensions.

Note that, like base::aperm(), aperm2() always preserves the length of the input array. However, unlike with base::aperm(), the array returned by aperm2() doesn't necessarily have the same number of dimensions as the input array.

Usage

aperm2(a, perm)

Arguments

a

An ordinary array.

perm

An integer vector, possibly containing NAs, indicating how the dimensions of the returned array should be mapped to those of the input array. More precisely, perm can be one of the following: A permutation of the seq_along(dim(a)) vector, like for base::aperm(). Note that if the identity permutation is used (i.e. perm=seq_along(dim(a))), then aperm2() is a no-op (like with base::aperm()). A permutation of a subset of the seq_along(dim(a)) vector. In this case the dimensions that are excluded must be ineffective dimensions i.e. each of them must have an extent of 1. In other words, only integers that belong to which(dim(a) == 1) can be missing from perm. In this case, the ineffective dimensions that are excluded will be dropped i.e. they won't be carried over to the returned array. Additionally, any number of NAs can be inserted anywhere in a perm vector like one described above. In this case, ineffective dimensions will be added to the returned array. These added dimensions will materialize as additional 1's in the dim() vector of the returned array, at positions that match the positions of the NAs in perm. Note that if perm is missing, then aperm2(a) reverses the order of a's dimensions (i.e. perm gets set to rev(seq_along(dim(a)))), like base::aperm(a) does.

Value

An array with one dimension per element in the perm argument. The length of the returned array will always be the same as the length of the input array. (Note that for an array a, length(a) is prod(dim(a)).)

Note

The aperm() method for DelayedArray objects defined in the DelayedArray package implements the "aperm2 semantic", that is, it allows dropping and/or adding ineffective dimensions from/to the input DelayedArray object.

See Also

• aperm in the base package for the function that aperm2 is based on.

• aperm in the BiocGenerics package for the aperm S4 generic function.

• aperm,SVT_SparseArray-method in the SparseArray package and aperm,DelayedArray-method in the DelayedArray package for aperm() methods that implements the "aperm2 semantic".

Examples

## ---------------------------------------------------------------------
## SOME EXAMPLES WITH A 4D ARRAY
## ---------------------------------------------------------------------

a <- array(1:72, c(3, 6, 1, 4),
           dimnames=list(NULL, letters[1:6], NULL, LETTERS[1:4]))
a

## Permute first two dimensions:
aperm2(a, perm=c(2,1,3,4))

## Permute first and last dimensions:
aperm2(a, perm=c(4,2,3,1))

## Drop 3rd dimension:
aperm2(a, perm=c(1,2,4))

## Drop 3rd dimension and permute 2nd and last:
aperm2(a, perm=c(1,4,2))

## Drop 3rd dimension and cycle the order of the remaining ones:
aperm2(a, perm=c(2,4,1))

## Add one ineffective dimension:
aperm2(a, perm=c(NA,1,2,3,4))
aperm2(a, perm=c(1,NA,2,3,4))
aperm2(a, perm=c(1,2,NA,3,4))
aperm2(a, perm=c(1,2,3,NA,4))
aperm2(a, perm=c(1,2,3,4,NA))

## Add four ineffective dimensions:
aperm2(a, perm=c(NA,1,2,3,NA,NA,4,NA))

## Permute first and last dimensions and add one ineffective dimension:
aperm2(a, perm=c(4,2,3,NA,1))

## Drop 3rd dimension, cycle the order of the remaining ones, and add
## two ineffective dimensions:
aperm2(a, perm=c(2,4,NA,1,NA))

## No-op:
aperm2(a, perm=seq_along(dim(a)))

## Reverse the order of the dimensions (multidimensional transposition):
aperm2(a)  # same as 'aperm2(a, perm=rev(seq_along(dim(a))))'

## ---------------------------------------------------------------------
## COMPOSING aperm2() TRANSFORMATIONS
## ---------------------------------------------------------------------

## Applying two successive aperm() transformations, first with 'perm'
## set to 'perm1' then set to 'perm2', is equivalent to applying a
## single aperm() transformation with 'perm' set to 'perm1[perm2]'.
##
## More formally:
##     aperm(aperm(a, perm=perm1), perm=perm2)
## is equivalent to:
##     aperm(a, perm=perm1[perm2])
##
## Note that this also applies to aperm2()!

## Examples with aperm():

perm1 <- c(2,4,3,1)
perm2 <- c(4,3,2,1)
perm3 <- c(2,1,4,3)

a12 <- aperm(aperm(a, perm=perm1), perm=perm2)
stopifnot(identical(a12, aperm(a, perm=perm1[perm2])))

a13 <- aperm(aperm(a, perm=perm1), perm=perm3)
stopifnot(identical(a13, aperm(a, perm=perm1[perm3])))

a23 <- aperm(aperm(a, perm=perm2), perm=perm3)
stopifnot(identical(a23, aperm(a, perm=perm2[perm3])))

a123 <- aperm(aperm(aperm(a, perm=perm1), perm=perm2), perm=perm3)
stopifnot(identical(a123, aperm(a, perm=perm1[perm2][perm3])))
stopifnot(identical(a123, aperm(a, perm=perm1[perm2[perm3]])))

## Examples with aperm2():

perm1 <- c(2,4,1)
perm2 <- c(1,3,NA,2,NA)
perm3 <- c(5,4,2,1)

a12 <- aperm2(aperm2(a, perm=perm1), perm=perm2)
stopifnot(identical(a12, aperm2(a, perm=perm1[perm2])))

a123 <- aperm2(aperm2(aperm2(a, perm=perm1), perm=perm2), perm=perm3)
stopifnot(identical(a123, aperm2(a, perm=perm1[perm2][perm3])))
stopifnot(identical(a123, aperm2(a, perm=perm1[perm2[perm3]])))

## ---------------------------------------------------------------------
## REVERSIBILITY OF THE aperm2() TRANSFORMATION
## ---------------------------------------------------------------------

## An aperm() or aperm2() transformation is always reversible.
## The 'perm' vector to use to achieve the reverse transformation
## can be inferred from the initial 'perm' vector using the following
## helper function ('n' must be the number of dimensions of
## the original array):
build_rev_perm <- function(perm, n=length(perm)) {
    rev_perm <- rep.int(NA_integer_, n)
    na_idx <- which(!is.na(perm))
    rev_perm[perm[na_idx]] <- na_idx
    rev_perm
}

## Examples:

perm <- c(2,4,NA,1,NA)
rev_perm <- build_rev_perm(perm, n=length(dim(a)))
stopifnot(identical(aperm2(aperm2(a, perm=perm), perm=rev_perm), a))

## The "composed" 'perm' vector achieves identity:
perm[rev_perm]

## Sanity checks:

perm <- seq_len(10)
stopifnot(identical(build_rev_perm(perm), perm))

perm <- c(2:5,1L)
rev_perm <- build_rev_perm(perm)
stopifnot(identical(perm[rev_perm], seq_along(perm)))

perm <- c(5L,NA,2:4,NA,NA,1L)
rev_perm <- build_rev_perm(perm, n=6)
stopifnot(identical(perm[rev_perm], c(1:5,NA)))

Bioconductor/S4Arrays documentation built on Oct. 30, 2024, 12:13 p.m.