lbl_na_if: Convert labelled data values to NA

View source: R/lbl_helpers.R

lbl_na_ifR Documentation

Convert labelled data values to NA

Description

Convert data values in a labelled vector to NA based on the value labels associated with that vector. Ignores values that do not have a label.

Usage

lbl_na_if(x, .predicate)

Arguments

x

A labelled vector

.predicate

A function taking .val and .lbl arguments that returns TRUE for all values that should be converted to NA.

Can be provided as an anonymous function or formula. See Details section.

Details

Several ⁠lbl_*()⁠ functions include arguments that can be passed a function of .val and/or .lbl. These refer to the existing values and labels in the input vector, respectively.

Use .val to refer to the values in the vector's value labels. Use .lbl to refer to the label names in the vector's value labels.

Note that not all ⁠lbl_*()⁠ functions support both of these arguments.

Value

A labelled vector

See Also

Other lbl_helpers: lbl_add(), lbl_clean(), lbl_define(), lbl_relabel(), lbl(), zap_ipums_attributes()

Examples

x <- haven::labelled(
  c(10, 10, 11, 20, 30, 99, 30, 10),
  c(Yes = 10, `Yes - Logically Assigned` = 11, No = 20, Maybe = 30, NIU = 99)
)

# Convert labelled values greater than 90 to `NA`
lbl_na_if(x, function(.val, .lbl) .val >= 90)

# Can use purrr-style notation
lbl_na_if(x, ~ .lbl %in% c("Maybe"))

# Or refer to named function
na_function <- function(.val, .lbl) .val >= 90
lbl_na_if(x, na_function)

ipumsr documentation built on Oct. 20, 2023, 5:10 p.m.