Inspect or change VARIABLE-LABEL.
The variable label is the name that is shown in the PX-file.
Usage
px_variable_label(x, value, validate)
# S3 method for class 'px'
px_variable_label(x, value, validate = TRUE)
Arguments
- x
A px object
- value
Optional. A character string or data frame.
Use character to set VARIABLE-LABEL for all languages and STUB/HEADING variables.
Use data frame with columns 'variable-code', 'language' and 'variable-label' to set VARIABLE-LABEL for specific variables.
If missing, the current VARIABLE-LABEL is returned.
If NULL, VARIABLE-LABEL 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 VARIABLE-LABEL for individual variables
library(tibble)
x1 <-
px(population_gl) |>
px_variable_label(tribble(~`variable-code`, ~`variable-label`,
'gender', 'Gender',
'age', 'Age'))
px_variable_label(x1)
#> # A tibble: 4 × 2
#> `variable-code` `variable-label`
#> <chr> <chr>
#> 1 gender Gender
#> 2 age Age
#> 3 year year
#> 4 n n
# Set VARIABLE-LABEL for individual languages
x2 <-
x1 %>%
px_languages(c('en', 'kl')) |>
px_variable_label(tribble(~`variable-code`, ~language, ~`variable-label`,
'gender', 'en', 'Gender',
'gender', 'kl', 'Suiaassuseq',
'age', 'en', 'Age',
'age', 'kl', 'Ukiut'))
px_variable_label(x2)
#> # A tibble: 8 × 3
#> `variable-code` language `variable-label`
#> <chr> <chr> <chr>
#> 1 gender en Gender
#> 2 gender kl Suiaassuseq
#> 3 age en Age
#> 4 age kl Ukiut
#> 5 year en year
#> 6 year kl year
#> 7 n en n
#> 8 n kl n
# Remove VARIABLE-LABEL
x3 <- px_variable_label(x2, NULL)
px_variable_label(x3)
#> NULL