Get per-generation logistic growth curve for infected active cells.
Note that the simulation will only be run until the final sampling time
within n_gens. See define_sampling_scheme().
Usage
define_growth_curve(
n_gens = 5000,
n0 = 10,
carry_cap = 2000,
max_growth_rate = 0.3
)
Arguments
- n_gens
number of generations (default: 5000)
- n0
starting infected cell population size (default: 10)
- carry_cap
carrying capacity for number of infected cells (default: 2000)
- max_growth_rate
maximum infected cell population growth rate
(default: 0.3)
Value
tibble with two columns: day and active cell count
Examples
define_growth_curve()
#> # A tibble: 5,001 × 2
#> generation active_cell_count
#> <dbl> <dbl>
#> 1 0 10
#> 2 1 13
#> 3 2 17
#> 4 3 22
#> 5 4 29
#> 6 5 37
#> 7 6 48
#> 8 7 62
#> 9 8 80
#> 10 9 103
#> # ℹ 4,991 more rows
