box_plot_max_weekly_cases: Create box plots of maximum weekly cases by scenario

In covid19risk/impact-sim: Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts

Description

Create box plots of maximum weekly cases by scenario

Usage

box_plot_max_weekly_cases(
  results = NULL,
  cap_cases = 5000,
  extinct_thresold = 0.1,
  theta_value = "15%",
  prop_asym = 0,
  facet_scales = "fixed",
  filt_control_effectiveness = 0.4,
  flip_coords = FALSE,
  num_initial_cases = 20,
  record_params = FALSE,
  y_lim = NULL
)

Arguments

results	results of the branching model in a data.frame or tibble
cap_cases	the maximimum number of cases per outbreak scenario; default is 5000
theta_value	A Character string defaulting to "15%". Determines the proportion of infections that occur prior to sypmtom onset.
prop_asym	A numeric string defaulting to 0. Filters the proportion of infectiouns are asymptomatic
facet_scales	passed to facet_grid’s scales parameter; default is "fixed"
filt_control_effectiveness	filters by the minimum control effectiveness proportion; default is 0.4
flip_coords	flip coordinates of the box plot; default is FALSE
num_initial_cases	filters by the number of initial cases in the scenario; default is 40
record_params	option to display the params as a caption (used for testing); default FALSE
y_lim	Numeric the limit of the y axis to show.
extinct_threshold	filters the minimum proportion of simulations that become extinct per scenario; default 0.8

Author(s)

Amy Gimma and Sam Abbott

covid19risk/impact-sim documentation built on April 16, 2021, 2:15 a.m.