plot_computed_cost_time: Plot number of costs associated to predicted number of health...

In UBESP-DCTV/imthcm: Integrated Mdelling Tool - Helath and Cost Modules

Description

A plot that shows the number of average daily costs associated to a particular health event in function of time. The points represent the costs associated to the predicted average daily number of health events. The colours refer to the type of outcome.

Usage

plot_computed_cost_time(computed_costs, plot_file)

Arguments

computed_costs

[data frame] A data frame containing the following variables: - ‘date': date of simulated day in format ’yyyy-mm-dd'; - 'event': name of the outcomes; - 'lower_individual_cost': lower bound of 95 associated to a particular health event; - 'fit_individual_cost': costs associated to the average daily number of a particular health event; - 'upper_individual_cost': upper bound of 95 associated to a particular health event.

plot_file

[chr] filename of the destination path. Format of image is automatically decided by the filename extension

Value

A plot with time trends of the costs associated to the average daily number of predicted ealth outcomes considered.

Examples

## Not run: 
  library(imthcm)
  default_models <- train_event_models(use_ita = TRUE)
  hh_full_year <- predict_hm(models = default_models,
    weather_history = test_weather,
    weather_today   = test_weather[c(726L, 729L, 731L), ],
    full_year = TRUE
  )

  computed_costs <- compute_cost(hh_full_year, use_meps = TRUE)
  plot_computed_cost_time(computed_costs,
    plot_file = 'costs_trend_plot.png'
  )

## End(Not run)

UBESP-DCTV/imthcm documentation built on Dec. 2, 2019, 9:26 a.m.