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 = double(), labels = NULL, na_values = NULL, na_range = NULL, label = NULL )
x | A vector to label. Must be either numeric (integer or double) or character. |
---|---|
labels | A named vector or |
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 |
label | A short, human-readable description of the vector. |
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUEx2 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_range = c(9, Inf), label = "Quality rating") is.na(x2)#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE# Print data and metadata x2#> <labelled_spss<integer>[10]>: Quality rating #> [1] 1 2 3 4 5 6 7 8 9 10 #> Missing range: [9, Inf] #> #> Labels: #> value label #> 1 Good #> 8 Bad