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Stratum variances for Burkina Faso EAs

Source: R/datasets.R
bfa_eas_variance.Rd

Illustrative prior variance of natural-log mean household consumption at EA level, modeled as if obtained from an earlier household survey. Used for demonstrating Neyman allocation in stratified sampling. The values are synthetic and are not official estimates for Burkina Faso.

Usage

bfa_eas_variance

Format

A tibble with 13 rows and 2 columns:

region

Factor. Region name

var

Numeric. Prior variance of natural-log mean household consumption at EA level within region

Source

Generated by the synthetic prior-survey model in the internal bfa_eas build recipe.

See also

bfa_eas, stratify_by()

Other datasets: bfa_eas, bfa_eas_cost, ken_enterprises, samplyr-datasets, zwe_eas

Examples

# View the variance data
bfa_eas_variance
#> # A tibble: 13 × 2
#>    region              var
#>    <fct>             <dbl>
#>  1 Boucle du Mouhoun 0.391
#>  2 Cascades          0.391
#>  3 Centre            0.311
#>  4 Centre-Est        0.356
#>  5 Centre-Nord       0.356
#>  6 Centre-Ouest      0.371
#>  7 Centre-Sud        0.363
#>  8 Est               0.397
#>  9 Hauts-Bassins     0.397
#> 10 Nord              0.353
#> 11 Plateau-Central   0.333
#> 12 Sahel             0.396
#> 13 Sud-Ouest         0.378

# Neyman allocation minimizes variance for fixed sample size
sampling_design() |>
  stratify_by(region, alloc = "neyman", variance = bfa_eas_variance) |>
  draw(n = 200) |>
  execute(bfa_eas, seed = 2)
#> # A tbl_sample: 200 × 18
#> # Sampling:     1 stage | 200/44,570 units
#> # Weights:      222.85 [209, 243]
#>    ea_id region      province commune urban_rural population households area_km2
#>  * <int> <fct>       <fct>    <fct>   <fct>            <int>      <int>    <dbl>
#>  1  6219 Boucle du … Nayala   Kougny  Rural             1544        206     2.52
#>  2 34772 Boucle du … Sourou   Tougan  Rural              872        133     0.99
#>  3 25911 Boucle du … Mouhoun  Dédoug… Rural              222         31     8.39
#>  4 31953 Boucle du … Sourou   Kiemba… Rural              602         78     6.91
#>  5 31928 Boucle du … Sourou   Kiemba… Rural              906        118     0.85
#>  6 36703 Boucle du … Bale     Fara    Rural              975        143     1.31
#>  7  8235 Boucle du … Mouhoun  Ouarko… Rural              271         37     8.86
#>  8 43720 Boucle du … Mouhoun  Safané  Rural              101         14     8.14
#>  9 11746 Boucle du … Bale     Yaho    Rural               98         15     8.72
#> 10 44450 Boucle du … Mouhoun  Tchéri… Rural              628        100     7.25
#> # ℹ 190 more rows
#> # ℹ 10 more variables: pop_density <dbl>, longitude <dbl>, latitude <dbl>,
#> #   remoteness <fct>, fieldwork_cost <int>, .weight <dbl>, .sample_id <int>,
#> #   .stage <int>, .weight_1 <dbl>, .fpc_1 <dbl>