RandomBinomArray-class {DelayedRandomArray} | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of binomial-distributed values.
RandomBinomArraySeed(dim, size, prob, chunkdim = NULL, sparse = FALSE) ## S4 method for signature 'RandomBinomArraySeed' DelayedArray(seed) RandomBinomArray(dim, size, prob, chunkdim = NULL, sparse = FALSE)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
size, prob |
Numeric vector used as the argument of the same name in |
chunkdim |
Integer vector of length equal to |
sparse |
Logical scalar indicating whether the sampled array should be treated as sparse. |
seed |
A RandomBinomArraySeed object. |
All constructors return an instance of a RandomBinomArray object, containing random draws from a binomial distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomBinomArraySeed(c(1e5, 1e5), size=10, prob=0.5) Y <- DelayedArray(X) Y # Fiddling with the distribution parameters: X2 <- RandomBinomArraySeed(c(1e5, 1e5), size=10, prob=runif(1e5, 0, 0.1), sparse=TRUE) Y2 <- DelayedArray(X2) Y2 # Using another array as input: library(Matrix) size <- rsparsematrix(1e5, 1e5, density=0.00001) size <- round(abs(DelayedArray(size)) * 10) X3 <- RandomBinomArraySeed(c(1e5, 1e5), size=size, prob=0.5) Y3 <- DelayedArray(X3) Y3