is_nonna: is_nonna() and the nna*() functions

In Bioconductor/SparseArray: High-performance sparse data representation and manipulation in R

is_nonna() and the nna*() functions

Description

A set of functions for direct manipulation of the non-NA elements of an array-like object.

Usage

is_nonna(x)

nnacount(x)
nnawhich(x, arr.ind=FALSE)
nnavals(x)
nnavals(x) <- value

Arguments

x	Typically (but not necessarily) an array-like object that is NA-sparse, like an NaArray object. However, x can also be an ordinary matrix or array, or any matrix-like or array-like object.
arr.ind	If arr.ind=FALSE (the default), the indices of the non-NA array elements are returned in a numeric vector (a.k.a. L-index). Otherwise, they're returned in an ordinary matrix (a.k.a. M-index). See ?Lindex in the S4Arrays package for more information about L-index and M-index, and how to convert from one to the other. Note that using arr.ind=TRUE won't work if nnacount(x) is >= .Machine$integer.max (= 2^31), because, in that case, the returned M-index would need to be a matrix with more rows than what is supported by base R.
value	A vector, typically of length nnacount(x) (or 1) and type type(x).

Details

nnacount(x) and nnawhich(x) are equivalent to, but typically more efficient than, sum(is_nonna(x)) and which(is_nonna(x)), respectively.

nnavals(x) is equivalent to, but typically more efficient than, x[nnawhich(x)] (or x[is_nonna(x)]).

nnavals(x) <- value replaces the values of the non-NA array elements in x with the supplied values. It's equivalent to, but typically more efficient than, x[nnawhich(x)] <- value.

Note that nnavals(x) <- nnavals(x) is guaranteed to be a no-op.

Value

is_nonna(): An array-like object of type() "logical" and same dimensions as the input object.

nnacount(): The number of non-NA array elements in x.

nnawhich(): The indices of the non-NA array elements in x, either as an L-index (if arr.ind is FALSE) or as an M-index (if arr.ind is TRUE). Note that the indices are returned sorted in strictly ascending order.

nnavals(): A vector of the same type() as x and containing the values of the non-NA array elements in x. Note that the returned vector is guaranteed to be parallel to nnawhich(x).

See Also

• is_nonzero for is_nonzero() and nz*() functions nzcount(), nzwhich(), etc...

• NaArray objects.

• Ordinary array objects in base R.

• base::which in base R.

Examples

a <- array(NA_integer_, dim=c(5, 12, 2))
a[sample(length(a), 20)] <- (-9):10

is_nonna(a)

## Get the number of non-NA array elements in 'a':
nnacount(a)

## nnawhich() returns the indices of the non-NA array elements in 'a'.
## Either as a "L-index" i.e. an integer (or numeric) vector of
## length 'nnacount(a)' containing "linear indices":
nnaidx <- nnawhich(a)
length(nnaidx)
head(nnaidx)

## Or as an "M-index" i.e. an integer matrix with 'nnacount(a)' rows
## and one column per dimension where the rows represent "array indices"
## (a.k.a. "array coordinates"):
Mnnaidx <- nnawhich(a, arr.ind=TRUE)
dim(Mnnaidx)

## Each row in the matrix is an n-tuple representing the "array
## coordinates" of a non-NA element in 'a':
head(Mnnaidx)
tail(Mnnaidx)

## Extract the values of the non-NA array elements in 'a' and return
## them in a vector "parallel" to 'nnawhich(a)':
a_nnavals <- nnavals(a)  # equivalent to 'a[nnawhich(a)]'
length(a_nnavals)
head(a_nnavals)

nnavals(a) <- 10 ^ nnavals(a)
a

## Sanity checks:
stopifnot(
  identical(nnaidx, which(!is.na(a))),
  identical(Mnnaidx, which(!is.na(a), arr.ind=TRUE, useNames=FALSE)),
  identical(nnavals(a), a[nnaidx]),
  identical(nnavals(a), a[Mnnaidx]),
  identical(`nnavals<-`(a, nnavals(a)), a)
)

Bioconductor/SparseArray documentation built on Oct. 2, 2024, 6:52 p.m.