aggregate_sample: Produce Population Weighted Aggregated Samples

In mrc-ide/threemc: (Matt's) Multi-Level Model of Male Circumcision in Sub-Saharan Africa

Produce Population Weighted Aggregated Samples

Description

Aggregate by area, year, age and type (weighted by population), and convert to a percentage/probability.

Usage

aggregate_sample(
  .data,
  aggr_cols = c("area_id", "area_name", "year", "age", "age_group", "model", "type"),
  num_cols,
  ages = 0:60,
  ...
)

Arguments

.data	data.frame including area populations, with un-aggregated samples.
aggr_cols	Columns to aggregate samples by, Default: c("area_id", "area_name", "year", "age", "age_group", "model", "type")
num_cols	numeric columns to aggregate.
...	Further arguments passed to data.table::rbindlist.

Value

data.frame with samples aggregated by aggr_cols and weighted by population.

mrc-ide/threemc documentation built on Feb. 9, 2024, 5:16 p.m.