RandomFArray-class {DelayedRandomArray} | R Documentation |
A DelayedArray subclass that performs on-the-fly sampling of F-distributed values.
RandomFArraySeed(dim, df1, df2, ncp, chunkdim = NULL) ## S4 method for signature 'RandomFArraySeed' DelayedArray(seed) RandomFArray(dim, df1, df2, ncp, chunkdim = NULL)
dim |
Integer vector of positive length, specifying the dimensions of the array. |
df1, df2, ncp |
Numeric vector used as the argument of the same name in If |
chunkdim |
Integer vector of length equal to |
seed |
A RandomFArraySeed object. |
All constructors return an instance of a RandomFArray object, containing random draws from a exponential distribution with the specified parameters.
Aaron Lun
The RandomArraySeed class, for details on chunking and the distributional parameters.
X <- RandomFArraySeed(c(1e5, 1e5), df1=1, df2=10) Y <- DelayedArray(X) Y # Fiddling with the distribution parameters: X2 <- RandomFArraySeed(c(1e5, 1e5), df1=runif(1e5)*10, df2=10) Y2 <- DelayedArray(X2) Y2 # Using another array as input: library(Matrix) ncp <- rsparsematrix(1e5, 1e5, density=0.00001) ncp <- abs(DelayedArray(ncp)) + 1 X3 <- RandomFArraySeed(c(1e5, 1e5), df1=1, df2=10, ncp=ncp) Y3 <- DelayedArray(X3) Y3