Description Usage Arguments Value Examples
initially accepts single arg values next get it to accept vectors by time
| 1 2 3 4 5 | run_sim_oldest(num_tsteps = 20, pop_start = 0.5, resist_freq_start = 0.1,
  rate_growth = 0.2, carry_cap = 1, insecticide_kill = 0.2,
  resistance_modifier = 1, resist_incr = 0.2, resist_decr = 0.1,
  use_pyr = rep(1, num_tsteps), use_ddt = NA, use_ops = NA,
  use_car = NA, randomness = 0)
 | 
| num_tsteps | number of timesteps to run simulation | 
| pop_start | start vector population | 
| resist_freq_start | frequency of resistance at start, 0 to 1 | 
| rate_growth | population growth rate | 
| carry_cap | carrying capacity (K) in the logistic model | 
| insecticide_kill | kill rate due to insecticide | 
| resistance_modifier | modifies effect of resistance | 
| resist_incr | increase in resistance when correct insecticide present | 
| resist_decr | decrease in resistance when correct insecticide absent | 
| use_pyr | use pyrethroids NA for no, 1 for yes, or a vector e.g. c(NA,1) to give alternate use | 
| use_ddt | use ddt see use_pyr | 
| use_ops | use organophosphates see use_pyr | 
| use_car | use carbamates see use_pyr | 
| randomness | 0-1 0=none, 1=maximum | 
dataframe of simulation results
| 1 2 3 4 5 6 7 | dF <- run_sim_oldest(pop_start=0.5, resist_freq_start=0.2, rate_growth=0.4, carry_cap=1, insecticide_kill=0.4, resistance_modifier=1)
#plot default run
plot_sim_oldest( run_sim_oldest())
#modify params
plot_sim_oldest( run_sim_oldest( insecticide_kill = 0.3, resist_incr = 0.05 ))
#alternate use of pyr
plot_sim_oldest( run_sim_oldest(use_pyr=c(NA,1)))
 | 
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