Test the presence of empty (undeclared) missing values

Functions that indicate which elements are empty NA missing values, in contrast to declared missing values.

Usage

is.empty(x)

anyNAempty(x)

Arguments

x

A vector

Value

A logical vector.

Details

All missing values, declared or undeclared, as stored as regular NA values, therefore the base function is_na() does not differentiate between them.

These functions are specifically adapted to objects of class "declared", to return a truth value only for those elements that are completely missing with no reason.

Examples

x <- declared(
    c(1:2, -91),
    labels = c(Good = 1, Bad = 2, Missing = -91),
    na_values = -91
)

x
#> <declared<numeric>[3]>
#> [1]       1       2 NA(-91)
#> Missing values: -91
#> 
#> Labels:
#>  value   label
#>      1    Good
#>      2     Bad
#>    -91 Missing

is.empty(x) # FALSE FALSE FALSE
#> [1] FALSE FALSE FALSE

anyNAempty(x) # FALSE
#> [1] FALSE

x <- c(x, NA)

is.empty(x) # FALSE FALSE FALSE  TRUE
#> [1] FALSE FALSE FALSE  TRUE

anyNAempty(x) # TRUE
#> [1] TRUE