Built-in graphics

Charles Eliot

2023-09-22

In this note we describe the graphing functions built into the pacehrh package.

First things first …

… creating some data.

library(pacehrh)

pacehrh::InitializePopulation()
pacehrh::InitializeScenarios()
pacehrh::InitializeStochasticParameters()
pacehrh::InitializeSeasonality()
pacehrh::InitializeCadreRoles()

scenario <- "MergedModel"

pacehrh::SetGlobalStartEndYears(2025, 2050)

results <-
  pacehrh::RunExperiments(scenarioName = scenario,
                       trials = 25)

Fertility and mortality rates

The function PlotFertilityRatesStats() creates graphs of the fertility and mortality rates used to generate population predictions.

  • type : {“ribbon” | “lines” | “boxplot”}
  • se : {TRUE | FALSE} - doesn’t apply to type = "boxplot"
    • FALSE : confidence interval display based on standard deviation
    • TRUE : confidence interval display based on standard error
  • log : {TRUE | FALSE}
    • FALSE : linear y-axis
    • TRUE : logarithmic (log10) y-axis
g <- pacehrh::PlotFertilityRatesStats(results, type = "boxplot", log = FALSE)
print(g)

g <- pacehrh::PlotFertilityRatesStats(results, type = "boxplot", log = TRUE)
print(g)

g <- pacehrh::PlotFertilityRatesStats(results, se = FALSE, type = "lines")
print(g)

g <- pacehrh::PlotFertilityRatesStats(results, se = TRUE, type = "lines")
print(g)

g <- pacehrh::PlotFertilityRatesStats(results, se = FALSE, type = "ribbon")
print(g)

g <- pacehrh::PlotFertilityRatesStats(results, se = TRUE, type = "ribbon")
print(g)