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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)A vector to label. Must be either numeric (integer or double) or character.
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.
A vector of values that should also be considered as missing.
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.
A short, human-readable description of the vector.
# NOT RUN {
x1 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_values = c(9, 10))
is.na(x1)
x2 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_range = c(9, Inf),
label = "Quality rating")
is.na(x2)
# Print data and metadata
x2
# }
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