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