Skip to contents

A pie chart with population counts, split by species and epigentic state. It also provides annotations for the simulation data.

Usage

plot_timeseries(simulation)

Arguments

simulation

A simulation.

Value

A ggplot plot.

Examples

sim <- SpatialSimulation()
sim$history_delta <- 1
sim$add_mutant(name = "A",
               epigenetic_rates = c("+-" = 0.01, "-+" = 0.02),
               growth_rates = c("+" = 0.2, "-" = 0.08),
               death_rates = c("+" = 0.1, "-" = 0.01))
sim$place_cell("A+", 500, 500)
sim$run_up_to_time(60)
#> 
 [██████████████--------------------------] 34% [00m:00s] Saving snapshot                                     

 [██████████████--------------------------] 34% [00m:00s] Cells: 0                                            

 [██████████████--------------------------] 34% [00m:00s] Cells: 0                                            

 [██████████████--------------------------] 34% [00m:00s] Cells: 0                                            


# Set the frequency of storing
plot_timeseries(sim)