RandomGeomArray-class {DelayedRandomArray} | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of geometric-distributed values.
RandomGeomArraySeed(dim, prob, chunkdim = NULL, sparse = FALSE) ## S4 method for signature 'RandomGeomArraySeed' DelayedArray(seed) RandomGeomArray(dim, prob, chunkdim = NULL, sparse = FALSE)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
prob |
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 RandomGeomArraySeed object. |
All constructors return an instance of a RandomGeomArray object, containing random draws from a geometric distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomGeomArraySeed(c(1e5, 1e5), prob=0.5) Y <- DelayedArray(X) Y # Fiddling with the distribution parameters: X2 <- RandomGeomArraySeed(c(1e5, 1e5), prob=runif(1e5, 0, 0.1), sparse=TRUE) Y2 <- DelayedArray(X2) Y2 # Using another array as input: library(Matrix) prob <- RandomUnifArray(c(1e5, 1e5)) X3 <- RandomGeomArraySeed(c(1e5, 1e5), prob=prob) Y3 <- DelayedArray(X3) Y3