RandomWeibullArray-class: DelayedArray of random Weibull-distributed values

In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

Description

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

Usage

RandomWeibullArraySeed(dim, shape, scale = 1, chunkdim = NULL)

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

RandomWeibullArray(dim, shape, scale = 1, chunkdim = NULL)

Arguments

dim	Integer vector of positive length, specifying the dimensions of the array.
shape, scale	Numeric vector used as the argument of the same name in qweibull. 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 RandomWeibullArraySeed object.

Value

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

Author(s)

Aaron Lun

See Also

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

Examples

X <- RandomWeibullArraySeed(c(1e5, 1e5), shape=10)
Y <- DelayedArray(X)
Y

# Fiddling with the distribution parameters:
X2 <- RandomWeibullArraySeed(c(1e5, 1e5), shape=round(runif(1e5, 10, 20)))
Y2 <- DelayedArray(X2)
Y2

# Using another array as input:
library(Matrix)
shape <- round(RandomUnifArray(c(1e5, 1e5), 10, 20))
X3 <- RandomWeibullArraySeed(c(1e5, 1e5), shape=shape)
Y3 <- DelayedArray(X3)
Y3

LTLA/DelayedRandomArray documentation built on Dec. 18, 2021, 3:40 a.m.