DelayedSubset-class {DelayedArray} | R Documentation

## DelayedSubset objects

### Description

NOTE: This man page is about DelayedArray internals and is provided for developers and advanced users only.

The DelayedSubset class provides a formal representation of a delayed multi-dimensional single bracket subsetting operation. It is a concrete subclass of the DelayedUnaryOp virtual class, which itself is a subclass of the DelayedOp virtual class:

                              DelayedOp
                                  ^
                                  |
                            DelayedUnaryOp
                                  ^
                                  |
                            DelayedSubset

DelayedSubset objects are used inside a DelayedArray object to represent the delayed multi-dimensional single bracket subsetting operations carried by the object. They're never exposed to the end user and are not intended to be manipulated directly.

### Usage

    ## S4 method for signature 'DelayedSubset'
    is_noop(x)

    ## S4 method for signature 'DelayedSubset'
    summary(object, ...)

    ## ~ ~ ~ Seed contract ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~

    ## S4 method for signature 'DelayedSubset'
    dim(x)

    ## S4 method for signature 'DelayedSubset'
    dimnames(x)

    ## S4 method for signature 'DelayedSubset'
    extract_array(x, index)

    ## ~ ~ ~ Propagation of sparsity ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~

    ## S4 method for signature 'DelayedSubset'
    is_sparse(x)

    ## S4 method for signature 'DelayedSubset'
    extract_sparse_array(x, index)

### Arguments

`x, object` | A DelayedSubset object.
`index` | See `?extract_array` for a description of the `index` argument.
`...` | Not used.

### See Also

- DelayedOp objects.

- `showtree` to visualize the nodes and access the leaves in the tree of delayed operations carried by a DelayedArray object.

- `extract_array` and `extract_sparse_array`.

### Examples

    ## DelayedSubset extends DelayedUnaryOp which extends DelayedOp:
    extends("DelayedSubset")

    ## ---------------------------------------------------------------------
    ## BASIC EXAMPLE
    ## ---------------------------------------------------------------------
    a0 <- array(1:60, dim=5:3)
    A0 <- DelayedArray(a0)
    showtree(A0)

    A <- A0[2:1, -4, 3, drop=FALSE]
    showtree(A)
    class(A@seed)        # a DelayedSubset object

    ## ---------------------------------------------------------------------
    ## PROPAGATION OF SPARSITY
    ## ---------------------------------------------------------------------
    sm0 <- sparseMatrix(i=c(1, 4), j=c(1, 3), x=c(11, 43), dims=4:3)
    SM0 <- DelayedArray(sm0)
    showtree(SM0)
    is_sparse(SM0)       # TRUE

    SM1 <- SM0[-1, 3:2, drop=FALSE]
    showtree(SM1)
    class(SM1@seed)      # a DelayedSubset object
    is_sparse(SM1@seed)  # TRUE

    ## Duplicated indices break structural sparsity.
    M2 <- SM0[-1, c(3:2, 2), drop=FALSE]
    showtree(M2)
    class(M2@seed)       # a DelayedSubset object
    is_sparse(M2@seed)   # FALSE

    ## ---------------------------------------------------------------------
    ## SANITY CHECKS
    ## ---------------------------------------------------------------------
    stopifnot(class(A@seed) == "DelayedSubset")
    stopifnot(class(SM1@seed) == "DelayedSubset")
    stopifnot(is_sparse(SM1@seed))
    stopifnot(class(M2@seed) == "DelayedSubset")
    stopifnot(!is_sparse(M2@seed))

[Package DelayedArray version 0.18.0 Index]