This class is only used when `user_na = TRUE`

in
`read_sav()`

. 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. |

## Examples

#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE

#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE

# Print data and metadata
x2

#> <Labelled SPSS integer>: Quality rating
#> [1] 1 2 3 4 5 6 7 8 9 10
#> Missing range: [9, Inf]
#>
#> Labels:
#> value label
#> 1 Good
#> 8 Bad