RandomTArray-class {DelayedRandomArray} | R Documentation

## DelayedArray of random F-distributed values

### Description

A DelayedArray subclass that performs on-the-fly sampling of F-distributed values.

### Usage

    RandomTArraySeed(dim, df, ncp, chunkdim = NULL)

    ## S4 method for signature 'RandomTArraySeed'
    DelayedArray(seed)

    RandomTArray(dim, df, ncp, chunkdim = NULL)

### Arguments

`dim` | Integer vector of positive length, specifying the dimensions of the array.
`df, ncp` | Numeric vector used as the argument of the same name in `qf`. Alternatively, a numeric array-like object with the same dimensions as `dim`. If `ncp` is missing, a central T distribution is assumed.
`chunkdim` | Integer vector of length equal to `dim`, containing the dimensions of each chunk.
`seed` | A RandomTArraySeed object.

### Value

All constructors return an instance of a RandomTArray object, containing random draws from a exponential distribution with the specified parameters.

### Author(s)

Aaron Lun

### See Also

The RandomArraySeed class, for details on chunking and the distributional parameters.

### Examples

    X <- RandomTArraySeed(c(1e5, 1e5), df=10)
    Y <- DelayedArray(X)
    Y

    # Fiddling with the distribution parameters:
    X2 <- RandomTArraySeed(c(1e5, 1e5), df=sample(20, 1e5, replace=TRUE))
    Y2 <- DelayedArray(X2)
    Y2

    # Using another array as input:
    library(Matrix)
    ncp <- rsparsematrix(1e5, 1e5, density=0.00001)
    ncp <- abs(DelayedArray(ncp)) + 1
    X3 <- RandomTArraySeed(c(1e5, 1e5), df=10, ncp=ncp)
    Y3 <- DelayedArray(X3)
    Y3

[Package DelayedRandomArray version 1.0.0 Index]