library(knitr) opts_chunk$set(fig.height=7, fig.width=7) # opts_chunk$set(dev="tiff", # dev.args=list(compression="lzw"), # dpi=300, # cache=FALSE, # fig.path='pap2figs/')
library(rotations) library(ggplot2)
Some example plots follow, these act as a visual test that the model is doing what we expect.
#expo_hi=c(1,0.1) dfr <- run_rot(n_insecticides=2, rot_interval=100, expo_hi=c(1,0.4))
# Interval 50, migration 0.01 dfr <- run_rot(rot_interval=50, max_gen = 300, migration=0.01)
# Decrease migration to 0.001 dfr <- run_rot(rot_interval=50, max_gen = 300, migration=0.001)
### Rotate when resistant, migration 0.01 dfr <- run_rot(rot_interval=0, max_gen = 300, expo_hi=0.5, migration=0.01)
run_rot( n_insecticides = 3 , max_gen = 150 , start_freqs = 0.1 , rot_interval = 50 , eff = 0.6 , dom_sel = 0.5 , rr = 0.5 , expo_hi = 0.5 , coverage = 0.8 , migration = 0.01 , cost = 0.1, no_r_below_start =FALSE )
```r
run_rot( n_insecticides = 3 , max_gen = 150 , start_freqs = 0.1 , rot_interval = 50 , eff = 0.6 , dom_sel = 0.5 , rr = 0.5 , expo_hi = 0.5 , coverage = 0.8 , migration = 0.01 , cost = 0 )
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