RandomExpArray-class: DelayedArray of random exponential values

In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

DelayedArray of random exponential values

Description

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

Usage

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

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

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

Arguments

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.

Value

All constructors return an instance of a RandomExpArray 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 <- 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

LTLA/DelayedRandomArray documentation built on July 7, 2024, 12:39 p.m.