RandomExpArray-class: DelayedArray of random exponential values
In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

Description Usage Arguments Value Author(s) See Also Examples

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

RandomExpArraySeed(dim, rate = 1, chunkdim = NULL)

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

RandomExpArray(dim, rate = 1, chunkdim = NULL)

`dim`	Integer vector of positive length, specifying the dimensions of the array.
`rate`	Numeric vector used as `rate` in `qexp`. Alternatively, a numeric array-like object with the same dimensions as `dim`.
`chunkdim`	Integer vector of length equal to `dim`, containing the dimensions of each chunk.
`seed`	A RandomExpArraySeed object.

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

Aaron Lun

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

X <- RandomExpArraySeed(c(1e5, 1e5))
Y <- DelayedArray(X)
Y

# Fiddling with the distribution parameters:
X2 <- RandomExpArraySeed(c(1e5, 1e5), rate=runif(1e5))
Y2 <- DelayedArray(X2)
Y2

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