Return data frame with artificial data.

Data to use for each run is the same. The result tibble is arranged to first iterate runs, then benchmarks, then virtual machines. This guarantee is useful when difference between runs is to be injected later.

Usage

rren_artificial(data, run_count = 1L, benchmark_count = 1L, vm_count = 1L)

Arguments

data

Data to use for each run.

run_count

Count of run combinations to generate per virtual machine and benchmark.

benchmark_count

Count of benchmark combinations to generate per virtual machine.

vm_count

Count of virtual machine combinations to generate.

Value

data Tibble with artificial data.