Inspect or change DOMAIN.
Arguments
- x
A px object
- value
Optional. A character string or data frame.
Use character to set DOMAIN for all languages and STUB/HEADING variables.
Use data frame with columns 'variable-code', 'language' and 'domain' to set DOMAIN for specific variables.
If missing, the current DOMAIN is returned.
If NULL, DOMAIN is removed for all variables.
- validate
Optional. If TRUE a number of validation checks are performed on the px object, and an error is thrown if the object is not valid. If FALSE, the checks are skipped, which can be usefull for large px objects where the check can be time consuming. Use
px_validate()
to manually preform the check.
Examples
# Set DOMAIN for all languages
x1 <-
px(population_gl) |>
px_domain('aggregation1')
# Print DOMAIN
px_domain(x1)
#> # A tibble: 3 × 2
#> `variable-code` domain
#> <chr> <chr>
#> 1 gender aggregation1
#> 2 age aggregation1
#> 3 year aggregation1
# Set DOMAIN for individual variables
library(tibble)
x2 <-
x1 |>
px_domain(tribble(~`variable-code`, ~domain,
'gender', 'aggregation2',
'age', 'aggregation3'))
px_domain(x2)
#> # A tibble: 3 × 2
#> `variable-code` domain
#> <chr> <chr>
#> 1 gender aggregation2
#> 2 age aggregation3
#> 3 year aggregation1
# Set DOMAIN for individual languages
x3 <-
x2 %>%
px_languages(c('en', 'kl')) |>
px_domain(tribble(~`variable-code`, ~language, ~domain,
'gender', 'en', 'aggregation2_en',
'gender', 'kl', 'aggregation2_kl',
'age', 'en', 'aggregation3_en'))
px_domain(x3)
#> # A tibble: 3 × 3
#> `variable-code` language domain
#> <chr> <chr> <chr>
#> 1 gender en aggregation2_en
#> 2 gender kl aggregation2_kl
#> 3 age en aggregation3_en
# Remove DOMAIN
x4 <- px_domain(x3, NULL)
px_domain(x4)
#> NULL