matter-class: Vectors, Matrices, and Arrays Stored in Virtual Memory

In kuwisdelu/matter: Scientific computing for out-of-memory signals and images

Vectors, Matrices, and Arrays Stored in Virtual Memory

Description

The matter class and its subclasses are designed for easy on-demand read/write access to binary virtual memory data structures, and working with them as vectors, matrices, arrays, lists, and data frames.

Usage

## Instance creation
matter(...)

# Check if an object is a matter object
is.matter(x)

# Coerce an object to a matter object
as.matter(x)

## Additional methods documented below

Arguments

...	Arguments passed to subclasses.
x	An object to check if it is a matter object or coerce to a matter object.

Value

An object of class matter.

Slots

data:

This slot stores any information necessary to access the data for the object (which may include the data itself and/or paths to file locations, etc.).

type:

The storage mode of the accessed data when read into R. This is a 'factor' with levels 'raw', 'logical', 'integer', 'numeric', or 'character'.

dim:

Either 'NULL' for vectors, or an integer vector of length one of more giving the maximal indices in each dimension for matrices and arrays.

names:

The names of the data elements for vectors.

dimnames:

Either 'NULL' or the names for the dimensions. If not 'NULL', then this should be a list of character vectors of the length given by 'dim' for each dimension. This is always 'NULL' for vectors.

Creating Objects

matter is a virtual class and cannot be instantiated directly, but instances of its subclasses can be created through matter().

Methods

Class-specific methods:

atomdata(x):

Access the 'data' slot.

adata(x):

An alias for atomdata(x).

type(x), type(x) <- value:

Get or set data 'type'.

Standard generic methods:

length(x), length(x) <- value:

Get or set length.

dim(x), dim(x) <- value:

Get or set 'dim'.

names(x), names(x) <- value:

Get or set 'names'.

dimnames(x), dimnames(x) <- value:

Get or set 'dimnames'.

Author(s)

Kylie A. Bemis

See Also

matter_arr, matter_mat, matter_vec, matter_fct, matter_list, matter_str

Examples

## Create a matter_vec vector
x <- matter(1:100, length=100)
x

## Create a matter_mat matrix
y <- matter(1:100, nrow=10, ncol=10)
y

kuwisdelu/matter documentation built on May 1, 2024, 5:17 a.m.