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This method returns a dataframe reporting the number of species cells in each sampled simulation time.

Value

A dataframe reporting mutant, epistate, counts, and time for each species, and for each sampled time.

Examples

# set the seed of the random number generator
set.seed(0)

# create a simulation
sim <- SpatialSimulation()
sim$add_mutant("A", growth_rate = 0.2, death_rate = 0.1)
sim$add_mutant("B", growth_rate = 0.15, death_rate = 0.05)
sim$schedule_mutation(src = "A", dst = "B", time = 50)
sim$place_cell("A", 500, 500)
sim$history_delta <- 20
sim$run_up_to_time(70)
#> 
 [████████████████████████████████████████] 100% [00m:00s] Saving snapshot                                    


# get the history of species counts
sim$get_count_history()
#>   mutant epistate count     time
#> 1      A              9 20.00000
#> 2      B              0 20.00000
#> 3      A            100 40.00000
#> 4      B              0 40.00000
#> 5      A            332 60.00000
#> 6      B              2 60.00000
#> 7      A            569 70.00366
#> 8      B              2 70.00366