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.