RandomPoisArray-class | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of Poisson-distributed values.
RandomPoisArraySeed(dim, lambda, chunkdim = NULL, sparse = FALSE)
## S4 method for signature 'RandomPoisArraySeed'
DelayedArray(seed)
RandomPoisArray(dim, lambda, chunkdim = NULL, sparse = FALSE)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
lambda |
Numeric vector used as |
chunkdim |
Integer vector of length equal to |
sparse |
Logical scalar indicating whether the sampled array should be treated as sparse. |
seed |
A RandomPoisArraySeed object. |
All constructors return an instance of a RandomPoisArray object, containing random draws from a Poisson distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomPoisArraySeed(c(1e5, 1e5), lambda=2)
Y <- DelayedArray(X)
Y
# Fiddling with the distribution parameters:
X2 <- RandomPoisArraySeed(c(1e5, 1e5), lambda=runif(1e5), sparse=TRUE)
Y2 <- DelayedArray(X2)
Y2
# Using another array as input:
library(Matrix)
lambda <- rsparsematrix(1e5, 1e5, density=0.00001)
lambda <- abs(DelayedArray(lambda)) + 0.1
X3 <- RandomPoisArraySeed(c(1e5, 1e5), lambda=lambda)
Y3 <- DelayedArray(X3)
Y3
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