Simulate repeated networks — simulate_network

Calls simulate_network() repetitions times and stacks the edge lists.

Usage

simulate_network_batches(repetitions, ..., seed = NULL)

Arguments

repetitions: Number of networks. A single positive whole number.
...: Arguments passed to simulate_network().
seed: Optional base seed. A single number, or NULL (the default). Network i uses seed + i - 1.

Value

A simulab_sim base data.frame edge list, one row per network and edge, with the column network followed by the columns simulate_network() returns (from, to and weight). The component settings, reached with as.data.frame(x, what = "settings"), holds one row per network with its generator arguments and realized edge count.

Examples

result <- simulate_network_batches(
  repetitions = 3, nodes = 20, model = "bernoulli", probability = 0.1, seed = 1
)
head(result)
#> <simulab_sim:network_batches> 6 rows x 4 columns
#>   network from to weight
#> 1       1    5  1      1
#> 2       1    8  1      1
#> 3       1   19  1      1
#> 4       1    3  2      1
#> 5       1    5  4      1
#> 6       1    4  5      1
#> 
#> Truth (settings):
#>   network     model directed loops weight nodes edges
#> 1       1 bernoulli     TRUE FALSE binary    20    35
#> 2       2 bernoulli     TRUE FALSE binary    20    37
#> 3       3 bernoulli     TRUE FALSE binary    20    32