Create a labelled vector with SPSS style of missing values.

It is similar to the labelled class but it also models SPSS's user-defined missings, which can be up to three distinct values, or for numeric vectors a range.

labelled_spss(x, labels, na_values = NULL, na_range = NULL,
  label = NULL)

Arguments

x	A vector to label. Must be either numeric (integer or double) or character.
labels	A named vector or NULL. The vector should be the same type as x. Unlike factors, labels don't need to be exhaustive: only a fraction of the values might be labelled.
na_values	A vector of values that should also be considered as missing.
na_range	A numeric vector of length two giving the (inclusive) extents of the range. Use -Inf and Inf if you want the range to be open ended.
label	A short, human-readable description of the vector.

See also

labelled_spss (haven)

Examples

x1 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_values = c(9, 10))
x1
#> <Labelled SPSS integer>
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> Missing values: 9, 10
#> 
#> Labels:
#>  value label
#>      1  Good
#>      8   Bad
is.na(x1)
#>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
x2 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_range = c(9, Inf))
x2
#> <Labelled SPSS integer>
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> Missing range:  [9, Inf]
#> 
#> Labels:
#>  value label
#>      1  Good
#>      8   Bad
is.na(x2)
#>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE