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)

## Arguments

x |
A vector to label. Must be either numeric (integer or double) or
character. |

labels |
A named vector. 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. |

## Examples

x1 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_values = c(9, 10))
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))
is.na(x2)

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