model_plots: Model visualisations - MAIN FUNCTION

In jameshay218/vaxedemic: Optimal allocation of vaccination during a pandemic

Description

TO DO: 1) need to make sure that the denominator is correct and that we are grouping correctly; 2) need to generalise grouping indices 3) Make each country occupy same space in y-axis in heatmap plot This is very much a work in progress. Takes the output of run_simulation and returns a set of incidence curve and heatmaps for per capita incidence by region. Requires data table and ggplot2.

Usage

model_plots(res, n_ages, n_riskgroups,
  countryFile = "data/countries_intersect.csv",
  latitudeFile = "data/latitudes_intersect.csv",
  regionFile = "data/regions_clean.csv",
  vitalFile = "data/demographic_data_intersect.csv")

Arguments

n_ages	the number of age groups
n_riskgroups	the number of risk groups
countryFile	the full file path to the clean country name file
latitudeFile	the full file path to the clean country latitude file
regionFile	the full file path to the clean country by region file
vitalFile	the full file path to the clean country demography (ie. needs "N") file
the	list of simulation outputs as in run_simulation

jameshay218/vaxedemic documentation built on Jan. 30, 2020, 2:58 a.m.