SparseArray-Math-methods: 'Math' and 'Math2' methods for SparseArray objects

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

'Math' and 'Math2' methods for SparseArray objects

Description

SparseArray derivatives support a subset of operations from the Math and Math2 groups. See ?S4groupGeneric in the methods package for more information about the Math and Math2 group generics.

IMPORTANT NOTES:

• Only operations from these groups that preserve sparsity are supported. For example, sqrt(), trunc(), log1p(), and sin() are supported, but cumsum(), log(), cos(), or gamma() are not.

• Only SVT_SparseArray objects are supported at the moment. Support for COO_SparseArray objects might be added in the future.

• Math and Math2 operations only support SVT_SparseArray objects of type() "double" at the moment.

Value

A SparseArray derivative of the same dimensions as the input object.

See Also

• S4groupGeneric in the methods package.

• SparseArray objects.

• Ordinary array objects in base R.

Examples

m <- matrix(0, nrow=15, ncol=6)
m[c(2, 6, 12:17, 22:33, 55, 59:62, 90)] <-
    c(runif(22)*1e4, Inf, -Inf, NA, NaN)
svt <- SparseArray(m)

svt2 <- trunc(sqrt(svt))
svt2

## Sanity check:
m2 <- suppressWarnings(trunc(sqrt(m)))
stopifnot(identical(as.matrix(svt2), m2))

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