array-simulate | R Documentation |
Simulate data (slice of) an array: Simulate n observations from the array x conditional on the variables in margin (a vector of indices) takes values given by margin.value
simulateArray(x, nsim = 1, margin, value.margin, seed = NULL)
## S3 method for class 'table'
simulate(object, nsim = 1, seed = NULL, margin, value.margin, ...)
## S3 method for class 'xtabs'
simulate(object, nsim = 1, seed = NULL, margin, value.margin, ...)
## S3 method for class 'array'
simulate(object, nsim = 1, seed = NULL, margin, value.margin, ...)
x , object |
An array. |
nsim |
Number of cases to simulate. |
margin , value.margin |
Specification of slice of array to simulate from. |
seed |
Seed to be used for random number generation. |
... |
Additional arguments, currently not used. |
A matrix.
The current implementation is fragile in the sense that it is
not checked that the input argument x
is an array.
Søren Højsgaard, sorenh@math.aau.dk
## 2x2 array
x <- parray(c("a", "b"), levels=c(2, 2), values=1:4)
x <- tabNew(c("a", "b"), levels=c(2, 2), values=1:4)
## Simulate from entire array
s <- simulateArray(x, 1000)
xtabs(~., as.data.frame(s))
## Simulate from slice defined by that dimension 1 is fixed at level 2
s <-simulateArray(x, 1000, margin=1, value.margin=2)
xtabs(~., as.data.frame(s))
## 2 x 2 x 2 array
x <- parray(c("a", "b", "c"), levels=c(2, 2, 2), values=1:8)
## Simulate from entire array
s <-simulateArray(x, 36000)
xtabs(~., as.data.frame(s))
## Simulate from slice defined by that dimension 3 is fixed at level 1
s <-simulateArray(x, 10000, 3, 1)
xtabs(~., as.data.frame(s))
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