Aggregate Model Output by Time Units (State-Specific Aggregation)

Converts model `time` into calendar dates from a reference start date, and aggregates values to a target time unit (e.g., weekly, monthly, yearly), grouped by all other variables. Aggregation is determined based on the value of the `state` column: - Stocks (S, E, I, R, Is, Rc, total_pop): take last value - Flows (new_case): sum - Rates (Reff, Reff_age): mean

Usage

aggregate_model_output_by_time(
  df,
  timestep = "day",
  target_unit = "week",
  start_date = "2000-01-01"
)

Arguments

df

A data.frame or data.table with `time`, `value`, `state`, and other stratifiers.

timestep

Character. One of "day", "week", "month", or "year". Time step used in the model.

target_unit

Character. One of "week", "month", or "year". Unit to aggregate into.

start_date

A string date (e.g. "2020-01-01") indicating the model time origin.

Value

A data.table with time-aggregated results.