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) ## 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, 6000, 1, 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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