Estimate Means for All Combinations of Grouping Variables (OGD Format) in Structural Survey

se_mean_ogd estimates survey means of a continuous variable for every combination of the supplied grouping variables, using se_mean internally and returning results in a format suitable for Open Government Data (OGD). The output includes means for each combination of grouping variables, as well as for the overall population.

Usage

se_mean_ogd(data, variable, ..., strata, weight, alpha = 0.05)

Arguments

data

A data frame or tibble.

variable

Variable to estimate the mean for (unquoted or programmatic).

...

Grouping variables (unquoted or programmatic).

strata

Stratification variable (unquoted or programmatic). Defaults to "zone" if omitted.

weight

Sampling weights variable (unquoted or programmatic).

alpha

Significance level for confidence intervals. Default is 0.05 (95% CI).

Value

A tibble with survey mean estimates for all combinations of grouping variables. Grouping variables are converted to factors with "Total" representing the overall group.

See also

se_total_ogd, se_prop_ogd, se_ogd_wrapper, se_mean

Examples

# Unquoted variables
se_mean_ogd(nhanes, variable = household_size, strata = strata, weight = weights, gender)
#> # A tibble: 3 × 6
#>   gender   occ household_size     ci  ci_l  ci_u
#>   <fct>  <int>          <dbl>  <dbl> <dbl> <dbl>
#> 1 Total   9971           3.46 0.0436  3.42  3.51
#> 2 Female  5079           3.44 0.0611  3.38  3.50
#> 3 Male    4892           3.49 0.0621  3.43  3.55

# Programmatic use
var <- "household_size"
wt <- "weights"
vars <- "gender"
se_mean_ogd(
  nhanes,
  variable = !!rlang::sym(var),
  strata = strata,
  weight = !!rlang::sym(wt),
  !!!rlang::syms(vars)
)
#> # A tibble: 3 × 6
#>   gender   occ household_size     ci  ci_l  ci_u
#>   <fct>  <int>          <dbl>  <dbl> <dbl> <dbl>
#> 1 Total   9971           3.46 0.0436  3.42  3.51
#> 2 Female  5079           3.44 0.0611  3.38  3.50
#> 3 Male    4892           3.49 0.0621  3.43  3.55