RandomGammaArray-class {DelayedRandomArray} | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of gamma-distributed values.
RandomGammaArraySeed(dim, shape, rate = 1, scale = 1/rate, chunkdim = NULL) ## S4 method for signature 'RandomGammaArraySeed' DelayedArray(seed) RandomGammaArray(dim, shape, rate = 1, scale = 1/rate, chunkdim = NULL)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
shape, rate, scale |
Numeric vector used as the argument of the same name in If |
chunkdim |
Integer vector of length equal to |
seed |
A RandomGammaArraySeed object. |
All constructors return an instance of a RandomGammaArray object, containing random draws from a gamma distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomGammaArraySeed(c(1e5, 1e5), shape=1, rate=10) Y <- DelayedArray(X) Y # Fiddling with the distribution parameters: X2 <- RandomGammaArraySeed(c(1e5, 1e5), shape=runif(1e5), rate=2) Y2 <- DelayedArray(X2) Y2 # Using another array as input: library(Matrix) s1 <- rsparsematrix(1e5, 1e5, density=0.00001) s1 <- abs(DelayedArray(s1)) + 1 X3 <- RandomGammaArraySeed(c(1e5, 1e5), shape=s1, rate=s1+1) Y3 <- DelayedArray(X3) Y3