SparseArray-misc-methods: Miscellaneous operations on a SparseArray object

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

Miscellaneous operations on a SparseArray object

Description

This man page documents various base array operations that are supported by SparseArray derivatives, and that didn't belong to any of the groups of operations documented in the other man pages of the SparseArray package.

Usage

# --- unary isometric array transformations ---

## S4 method for signature 'COO_SparseArray'
is.na(x)
## S4 method for signature 'SVT_SparseArray'
is.na(x)

## S4 method for signature 'COO_SparseArray'
is.nan(x)
## S4 method for signature 'SVT_SparseArray'
is.nan(x)

## S4 method for signature 'COO_SparseArray'
is.infinite(x)
## S4 method for signature 'SVT_SparseArray'
is.infinite(x)

## S4 method for signature 'COO_SparseArray'
tolower(x)

## S4 method for signature 'COO_SparseArray'
toupper(x)

## S4 method for signature 'COO_SparseArray'
nchar(x, type="chars", allowNA=FALSE, keepNA=NA)

# --- N-ary isometric array transformations ---

## S4 method for signature 'SparseArray'
pmin(..., na.rm=FALSE)
## S4 method for signature 'SparseArray'
pmax(..., na.rm=FALSE)

Arguments

x	A SparseArray derivative.
type, allowNA, keepNA	See ?base::nchar for a description of these arguments.
...	SparseArray derivatives.
na.rm	See ?base::pmin for a description of this argument.

Details

More operations will be added in the future.

Value

See man pages of the corresponding base functions (e.g. ?base::is.na, ?base::nchar, ?base::pmin, etc...) for the value returned by these methods.

Note that, like the base functions, the methods documented in this man page are endomorphisms i.e. they return an array-like object of the same class as the input.

See Also

• base::is.na and base::is.infinite in base R.

• base::tolower in base R.

• base::nchar in base R.

• base::pmin in base R.

• SparseArray objects.

• Ordinary array objects in base R.

Examples

a <- array(c(0, 2.77, NA, 0, NaN, -Inf), dim=5:3)
svt <- SparseArray(a)  # SVT_SparseArray object
class(svt)

is.na(svt)             # SVT_SparseArray object of type "logical"
is.nan(svt)            # SVT_SparseArray object of type "logical"
is.infinite(svt)       # SVT_SparseArray object of type "logical"

svt1 <- poissonSparseMatrix(500, 20, density=0.2)
svt2 <- poissonSparseMatrix(500, 20, density=0.25) * 0.77
pmin(svt1, svt2)
pmax(svt1, svt2)

## Sanity checks:
res <- is.na(svt)
stopifnot(is(res, "SVT_SparseArray"), type(res) == "logical",
          identical(as.array(res), is.na(a)))
res <- is.nan(svt)
stopifnot(is(res, "SVT_SparseArray"), type(res) == "logical",
          identical(as.array(res), is.nan(a)))
res <- is.infinite(svt)
stopifnot(is(res, "SVT_SparseArray"), type(res) == "logical",
          identical(as.array(res), is.infinite(a)))
res <- pmin(svt1, svt2)
stopifnot(is(res, "SVT_SparseArray"),
          identical(as.array(res), pmin(as.array(svt1), as.array(svt2))))
res <- pmax(svt1, svt2)
stopifnot(is(res, "SVT_SparseArray"),
          identical(as.array(res), pmax(as.array(svt1), as.array(svt2))))

Bioconductor/SparseArray documentation built on Oct. 30, 2024, 12:14 p.m.