calculate.pop_scaling_factor

Calculate the scaling factor for a population run on EMOD. Typically when we run EMOD, we scale down our population for the sake of computation costs. In order to get correct counts of different statuses (i.e., number of people who died from HIV), we need to scale our data. This function will not scale the data, rather it will add a scaling-factor column to the data that you can multiply any column of interest by.

Description

Calculate the scaling factor for a population run on EMOD. Typically when we run EMOD, we scale down our population for the sake of computation costs. In order to get correct counts of different statuses (i.e., number of people who died from HIV), we need to scale our data. This function will not scale the data, rather it will add a scaling-factor column to the data that you can multiply any column of interest by.

Usage

calculate.pop_scaling_factor(
  data,
  reference_year,
  reference_population,
  age_min_inclusive = 0,
  age_max_inclusive = 200
)

Arguments

Argument	Description
data	A tibble returned from read.simulation.results(…, stratify_columns = c(“Year”), aggregate_columns = c(“Population”)). More aggregate and stratify columns can be used
reference_year	The year that you want to calibrate the total population to
reference_population	the actual population of the area being studied at the time of “reference_year”

Value

A tibble with all original columns found in “data”, plus a column for pop_scaling_factor