Per-interview cost by region for niger_eas. Remote regions (Agadez, Diffa) have higher costs. Used for demonstrating optimal (cost-variance) allocation.
niger_eas_costA tibble with 8 rows and 2 columns:
Character. Region name
Numeric. Per-interview cost (fictional units)
# View the cost data
niger_eas_cost
#> # A tibble: 8 × 2
#> region cost
#> <chr> <dbl>
#> 1 Agadez 180
#> 2 Diffa 150
#> 3 Dosso 60
#> 4 Maradi 55
#> 5 Niamey 70
#> 6 Tahoua 50
#> 7 Tillabéri 65
#> 8 Zinder 40
# Optimal allocation minimizes variance for fixed total cost
sampling_design() |>
stratify_by(region, alloc = "optimal",
variance = niger_eas_variance,
cost = niger_eas_cost) |>
draw(n = 200) |>
execute(niger_eas, seed = 42)
#> == tbl_sample ==
#> Weights: 6.24 - 16.25 (mean: 7.68 )
#>
#> # A tibble: 200 × 11
#> region ea_id department strata hh_count pop_estimate .weight .sample_id
#> * <fct> <chr> <fct> <fct> <dbl> <dbl> <dbl> <int>
#> 1 Agadez Aga_04_0012 Tchirozér… Urban 431 2586 10.2 1
#> 2 Agadez Aga_03_0010 Bilma Urban 259 1554 10.2 2
#> 3 Agadez Aga_01_0001 Agadez Rural 59 413 10.2 3
#> 4 Agadez Aga_02_0012 Arlit Rural 137 959 10.2 4
#> 5 Agadez Aga_01_0010 Agadez Urban 192 1344 10.2 5
#> 6 Diffa Dif_05_0003 Diffa Rural 120 960 16.2 6
#> 7 Diffa Dif_07_0010 N'Guigmi Rural 65 325 16.2 7
#> 8 Diffa Dif_07_0001 N'Guigmi Rural 65 455 16.2 8
#> 9 Diffa Dif_06_0014 Mainé-Sor… Rural 67 335 16.2 9
#> 10 Dosso Dos_10_0024 Boboye Rural 118 708 8.09 10
#> # ℹ 190 more rows
#> # ℹ 3 more variables: .stage <int>, .weight_1 <dbl>, .fpc_1 <int>