wos_diagram: plot idealised diagram to illustrate 'windows of selection'
In AndySouth/wos: Windows of Selection

Description Usage Arguments Value Examples

View source: R/wos_diagram.r

mortality over time or declining concentration for RR,SR,SS

wos_diagram(conc_n = 100, conc_rr_mort0 = 0.6, conc_ss_mort0 = 0.1,
  mort_slope = 3, sr = TRUE, win_dom_strt = 0.5, rr_cost = 0,
  dom_cost = 0, exposure = 0.5, max_gen = 1000, startfreq = 0.001,
  title = "", addwindow = TRUE, addshading = TRUE,
  addlabels = TRUE, legendpos = "bottom", plot = TRUE, sim = FALSE,
  adv = FALSE, logadv = TRUE, lab_dom = 0)

`conc_n`	number of x intervals default 50, will influence smoothness of lines, converted to 0-1
`conc_rr_mort0`	concentration killing none of rr
`conc_ss_mort0`	concentration killing none of ss
`mort_slope`	= 3 slope of mortality curves
`sr`	whether to include heterozygotes
`win_dom_strt`	dominance of resistance 0-1 determines position of sr between rr & ss but it's not really dominance
`rr_cost`	cost of resistance to rr (simply added to rr mort)
`dom_cost`	dominance of cost
`exposure`	proportion of popn exposed to insecticide only used in the simulations
`max_gen`	maximum generations to use in the simulations
`startfreq`	starting frequency to use in the simulations
`title`	title for ggplot
`addwindow`	whether to add dotted lines for opening and shutting of window
`addshading`	whether to shade window
`addlabels`	whether to add labels
`legendpos`	where to add legend
`plot`	whether to plot
`sim`	whether to run simulation across the window of selection
`adv`	whether to calculate and output selective advantage
`logadv`	whether to use log scale in selective advantage plots
`lab_dom`	whether to add labels of dominance values, 0 for none, 1 for all, 2 every other

ggplot object

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wos_diagram(mort_slope=3, win_dom_strt=0.9)
dfsim <- wos_diagram(sim=TRUE, conc_n=10, rr_cost=0) #conc_n=10 num x axis points, makes faster
wos_diagram(adv=TRUE,win_dom_strt=0.1)