| Generate_diagnostic_plots | R Documentation | 
Generate diagnostic plots of vaccine coverage and burden estimates (cases, deaths, dalys)
Generate_diagnostic_plots(
  vaccine_coverage_folder,
  coverage_prefix,
  touchstone,
  scenarios,
  no_vaccine_scenario,
  plot_no_vaccine_scenario = TRUE,
  burden_estimate_folder,
  plot_folder,
  plot_file,
  plot_type,
  countries,
  start_year = -1,
  end_year = -1,
  compare_plots = FALSE,
  vaccine_prefix,
  no_vaccine_prefix
)
vaccine_coverage_folder | 
 character, folder to read vaccine coverage of different scenarios  | 
coverage_prefix | 
 character, prefix of coverage file  | 
touchstone | 
 character, touchstone (VIMC)  | 
scenarios | 
 character, names of vaccination scenarios  | 
no_vaccine_scenario | 
 character, name of no vaccination scenario  | 
plot_no_vaccine_scenario | 
 logical, if TRUE then also generate plots for no vaccine scenario  | 
burden_estimate_folder | 
 character, folder to read burden estimates of different scenarios  | 
plot_folder | 
 character, diagnostic plot folder  | 
plot_file | 
 character, diagnostic plot file  | 
plot_type | 
 character, diagnostic plot type (central or stochastic)  | 
countries | 
 character, "all" countries or specific countries (iso3 codes)  | 
start_year | 
 numeric, start year of plot  | 
end_year | 
 numeric, end year of plot  | 
compare_plots | 
 logical, if TRUE then generate comparative plots  | 
vaccine_prefix | 
 character, prefix of burden estimates file (vaccination scenarios)  | 
no_vaccine_prefix | 
 character, prefix of burden estimates file (no vaccination scenario)  | 
Diagnostic plots of vaccine coverage and burden estimates (cases, deaths, dalys) are generated for each country and scenario. Optionally, comparative plots across all scenarios can be generated.
Null return value; diagnostic plots are saved to file
Generate_diagnostic_plots (
    vaccine_coverage_folder    = "vaccine_coverage",
    coverage_prefix            = "coverage_",
    touchstone                 = "touchstone",
    scenarios                  = c ("hpv-routine-default", "hpv-routine-best"),
    no_vaccine_scenario        = "hpv-no-vaccination",
    plot_no_vaccine_scenario   = TRUE,
    burden_estimate_folder     = "output_all",
    plot_folder                = "plots"
    plot_file                  = "plot_file.pdf",
    plot_type                  = "central"
    countries                  = "all",
    start_year                 = 2000,
    end_year                   = 2100,
    compare_plots              = TRUE,
    vaccine_prefix             = "central-burden-vaccination_all_",
    no_vaccine_prefix          = "central-burden-novaccination_all_" )
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