standardize_samples: Age-standardize samples

In RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

Age-standardize samples

Description

Age-standardizes samples using a standard population.

Usage

standardize_samples(
  sample,
  std_pop,
  margin,
  groups = NULL,
  bind_new = FALSE,
  new_name = NULL
)

Arguments

sample	an array of samples imported with load_samples()
std_pop	A vector of standard populations.
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 age-standardized samples.

Examples

std_pop <- c(113154, 100640, 95799)
age_margin <- 2
# age-standardize by all age groups
samples_3564 <- standardize_samples(minsample, std_pop, age_margin)
# age-standardize only by the first two age groups
samples_3554 <- standardize_samples(minsample, std_pop[1:2], age_margin, groups = 1:2)
# bind age-standardized samples to original samples
samples_as <- standardize_samples(
  minsample,
  std_pop,
  age_margin,
  bind_new = TRUE,
  new_name = "35-64"
)

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