RandomUnifArray-class {DelayedRandomArray} | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of uniformly distributed values.
RandomUnifArraySeed(dim, min = 0, max = 1, chunkdim = NULL) ## S4 method for signature 'RandomUnifArraySeed' DelayedArray(seed) RandomUnifArray(dim, min = 0, max = 1, chunkdim = NULL)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
min, max |
Numeric vector used as |
chunkdim |
Integer vector of length equal to |
seed |
A RandomUnifArraySeed object. |
All constructors return an instance of a RandomUnifArray object, containing random draws from a uniform distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomUnifArraySeed(c(1e5, 1e5)) Y <- DelayedArray(X) Y # Fiddling with the distribution parameters: X2 <- RandomUnifArraySeed(c(1e5, 1e5), min=1:1e5, max=1:1e5*2) Y2 <- DelayedArray(X2) Y2 # Using another array as input: library(Matrix) min <- rsparsematrix(1e5, 1e5, density=0.00001) X3 <- RandomUnifArraySeed(c(1e5, 1e5), min=min, max=DelayedArray(min)+1) Y3 <- DelayedArray(X3) Y3