lbl_na_if: Set labelled values to missing

In mnpopcenter/ipumsr: Read 'IPUMS' Extract Files

Set labelled values to missing

Description

Convert values to NA based on their label and value in a labelled vector. Ignores any value that does not have a label.

Usage

lbl_na_if(x, .predicate)

Arguments

x	A labelled vector
.predicate	A function that takes .val and .lbl (the values and labels) and returns TRUE or FALSE. It is passed to a function similar to as_function, so also accepts quosure-style lambda functions (that use values .val and .lbl). See examples for more information.

Value

A haven::labelled vector

See Also

Other lbl_helpers: lbl_add(), lbl_clean(), lbl_collapse(), 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)
)

lbl_na_if(x, ~.val >= 90)
lbl_na_if(x, ~.lbl %in% c("Maybe"))
lbl_na_if(x, ~.val >= 90 | .lbl %in% c("Maybe"))

# You can also use the more explicit function notation
lbl_na_if(x, function(.val, .lbl) .val >= 90)

# Or even the name of a function
na_function <- function(.val, .lbl) .val >= 90
lbl_na_if(x, "na_function")

mnpopcenter/ipumsr documentation built on Sept. 30, 2022, 6:56 a.m.