surveycore (version 0.8.3)

extract_missing_codes: Extract Missing Value Codes

Description

Returns missing value sentinel codes for one or more variables in a survey design object or data frame.

Usage

extract_missing_codes(x, ..., format = "list", fill = NULL)

Value

• "list" (default): named list of atomic vectors. Empty: list().

• "data_frame": long-format tibble with columns variable, description (NA if codes vector is unnamed), code (coerced to character). Empty: zero-row tibble.

Arguments

x

A survey design object or data.frame.

...

<tidy-select> Variables to query. Supports selection helpers: tidyselect::starts_with(), tidyselect::all_of(), tidyselect::any_of(), tidyselect::matches(), etc. If empty, returns metadata for all variables. Use tidyselect::any_of() to silently skip missing variable names.

format

character(1). Output format: "list" (default) or "data_frame". "named_vector" is not valid for this function.

fill

Scalar or NULL. How to handle variables with no codes: NULL (default) omits them; NA_character_ includes them as NULL entries in "list" format.

See Also

set_missing_codes() to set missing value codes

Other metadata: classify_question_type(), extract_metadata(), extract_question_preface(), extract_sata(), extract_universe(), extract_val_labels(), extract_var_label(), extract_var_note(), infer_question_prefaces(), set_missing_codes(), set_question_preface(), set_sata(), set_universe(), set_val_labels(), set_var_label(), set_var_note(), survey_metadata(), survey_weighting_history()

Examples

d <- as_survey(nhanes_2017, ids = sdmvpsu, weights = wtint2yr,
               strata = sdmvstra, nest = TRUE)
d <- set_missing_codes(d, ridageyr = c("Not applicable" = 999L))
extract_missing_codes(d, ridageyr)
extract_missing_codes(d, ridageyr, format = "data_frame")