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)
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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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