This function retrieves data transformation recipes from the metasurvey repository or API, based on specific criteria such as survey type, edition, and topic. It is the primary way to access predefined and community-validated recipes.
Arguments
- svy_type
String specifying the survey type. Examples: "ech", "eaii", "eai", "eph"
- svy_edition
String specifying the survey edition. Supported formats: "YYYY", "YYYYMM", "YYYY-YYYY"
- topic
String specifying the recipe topic. Examples: "labor_market", "poverty", "income", "demographics"
- allowMultiple
Logical indicating whether multiple recipes are allowed. If FALSE and multiple matches exist, returns the most recent one
Value
Recipe
object or list of Recipe
objects according to the
specified criteria and the value of allowMultiple
Details
This function is essential for:
Accessing official recipes: Get validated and maintained recipes by specialized teams
Reproducibility: Ensure different users apply the same standard transformations
Automation: Integrate recipes into automatic pipelines
Collaboration: Share methodologies between teams and organizations
Versioning: Access different recipe versions according to edition
The function first searches in local repositories and then queries the API if necessary. Recipes are cached to improve performance.
Search criteria are combined with AND operator, so all specified criteria must match for a recipe to be returned.
See also
recipe
to create custom recipes
save_recipe
to save recipes locally
read_recipe
to read recipes from file
publish_recipe
to publish recipes to the repository
load_survey
where recipes are used
Examples
if (FALSE) { # \dontrun{
# Get specific recipe for ECH 2023
ech_recipe <- get_recipe(
svy_type = "ech",
svy_edition = "2023"
)
# Recipe for specific topic
labor_recipe <- get_recipe(
svy_type = "ech",
svy_edition = "2023",
topic = "labor_market"
)
# Allow multiple recipes
available_recipes <- get_recipe(
svy_type = "eaii",
svy_edition = "2019-2021",
allowMultiple = TRUE
)
# Use recipe in load_survey
ech_with_recipe <- load_survey(
path = "ech_2023.dta",
svy_type = "ech",
svy_edition = "2023",
recipes = get_recipe("ech", "2023"),
bake = TRUE
)
# For year ranges
panel_recipe <- get_recipe(
svy_type = "ech_panel",
svy_edition = "2020-2023"
)
} # }