Plot simulation result

# S3 method for seiqhrf
plot(
  x,
  method = NULL,
  comp_remove = "none",
  time_limit = 90,
  ci = TRUE,
  sep_compartments = FALSE,
  trans = FALSE,
  known = NULL,
  start_date = ymd("2020-03-21"),
  show_start_date = FALSE,
  x_axis = "Date (MM-DD)",
  plot_title = "",
  return_df = TRUE,
  market.share = 0.04,
  icu_percent = 0.1,
  sim_population = 1000,
  total_population = NULL,
  ...
)

Arguments

x	An seiqhrf object returned from function `seiqhrf`.
method	If "times", plot Duration frequency distributions. If "weekly_local", plot local weekly estimates from simulation. If NULL, plot sirplus plots.
comp_remove	Compartments to remove. Suggest c(s.num, r.num)
time_limit	Number of steps (days) to plot.
ci	T/F to include 95% confidence intervals in sirplus plot.
sep_compartments	T/F use faceting to show each compartment in a separate plot, only works if plotting a single simulation.
trans	Y-axis transformation (e.g. log2, log10).
known	Dataframe with known compartment numbers to plot alongside projections
start_date	Date for day 0.
show_start_date	First date to show in plots. Use ymd format. If FALSE, shows from step 1.
x_axis	Title for x-axis.
plot_title	Title for whole plot.
return_df	In effect only when method == "weekly", if TRUE returns also the dataframe used for plotting as well as the ggplot object.
market.share	between 0 and 1, percentage of local hospital beds in the simulated unit (e.g. state)
icu_percent	between 0 and 1, percentage of patients that should go to ICU among the ones that need hospitalization
sim_population	Size of population simulated. Only needed if providing `total_population`.
total_population	True population size, needed only if simulation size is smaller than the true population size due to computational cost etc.
...	Additional parameters