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