This method chooses one cell among those of a mutant.
Details
It randomly chooses one of the cells of a mutant. Optionally, the lower and upper corners of a tissue rectangular selection can be provided to obtain one cell in the rectangle.
Examples
# set the seed of the random number generator
set.seed(0)
# create a simulation
sim <- SpatialSimulation()
sim$add_mutant(name = "A",
epigenetic_rates = c("+-" = 0.01, "-+" = 0.01),
growth_rates = c("+" = 0.2, "-" = 0.08),
death_rates = c("+" = 0.1, "-" = 0.01))
sim$add_mutant(name = "B",
epigenetic_rates = c("+-" = 0.1, "-+" = 0.01),
growth_rates = c("+" = 0.15, "-" = 0.4),
death_rates = c("+" = 0.1, "-" = 0.01))
sim$place_cell("A+", 500, 500)
sim$death_activation_level <- 100
sim$schedule_mutation("A","B",20)
sim$run_up_to_size(species = "B-", num_of_cells = 50)
#>
[████████████████████████████████████████] 100% [00m:00s] Saving snapshot
# Randomly choose one cell in "B" in the tissue
sim$choose_cell_in(mutant = "B")
#> cell_id mutant epistate position_x position_y
#> 1 787 B - 490 499