aggregate_count: Aggregate count arrays

In RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

Aggregate count arrays

Description

Sums counts over event/population arrays. Useful when manually generating group-aggregated/age-standardized estimates and a population threshold is needed for suppression.

Usage

aggregate_count(
  count,
  margin,
  groups = NULL,
  bind_new = FALSE,
  new_name = NULL
)

Arguments

count	The array to aggregate.
margin	For arrays, The margin on which the groups of interest are stratified.
groups	A vector of either indices for each group or a vector of strings for each group name. If set to NULL, will use all groups in the dataset.
bind_new	If set to TRUE, will bind an array to the original sample dataset. Otherwise, will generate a standalone array of samples.
new_name	The name to assign to the age-standardized group.

Value

An array of aggregated count data.

Examples

margin_time <- 3
# aggregate population from all years for each county-group
pop_7988 <- aggregate_count(miheart$n, margin_time)
# aggregate population from 1980-1984 for each county-group
pop_8084 <- aggregate_count(miheart$n, margin_time, groups = as.character(1980:1984))
# bind aggregated pop from all years to population data
pop_agg <- aggregate_count(miheart$n, margin_time, bind_new = TRUE, new_name = "1979-1988")

RSTr documentation built on Jan. 31, 2026, 9:07 a.m.