Variance of household counts by region, calculated from niger_eas. Used for demonstrating Neyman optimal allocation in stratified sampling.

niger_eas_variance

Format

A tibble with 8 rows and 2 columns:

region

Factor. Region name

var

Numeric. Variance of household counts within region

Examples

data(niger_eas_variance)
niger_eas_variance
#> # A tibble: 8 × 2
#>   region      var
#>   <fct>     <dbl>
#> 1 Agadez    6249.
#> 2 Diffa     1950.
#> 3 Dosso     2771.
#> 4 Maradi    3207.
#> 5 Niamey    5728.
#> 6 Tahoua    2487.
#> 7 Tillabéri 2506.
#> 8 Zinder    2926.

# Neyman allocation
if (FALSE) { # \dontrun{
sampling_design() |>
  stratify_by(region, alloc = "neyman", variance = niger_eas_variance) |>
  draw(n = 500) |>
  execute(niger_eas, seed = 42)
} # }