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labelled
vectors. Data is also labelled
when imported from SPSS, SAS or STATA via read_spss
,
read_sas
or read_stata
.
get_values(x, sort.val = FALSE, drop.na = FALSE)
TRUE
(default), values of associated value labels
are sorted.TRUE
, tagged NA values are excluded from
the return value. See 'Examples' and get_na
.x
,
or NULL
if x
has no label attributes.
labelled
vectors are numeric by default (when imported with read-functions
like read_spss
) and have variable and value labels attributes.
The value labels are associated with those values from the labelled vector.
This function returns the values associated with the vector's value labels,
which may differ from actual values in the vector (e.g. if not all
values have a related label).
get_labels
for getting value labels and get_na
to get values for missing values.
data(efc)
str(efc$e42dep)
get_values(efc$e42dep)
get_labels(efc$e42dep)
library(haven)
x <- labelled(c(1:3, tagged_na("a", "c", "z"), 4:1),
c("Agreement" = 1, "Disagreement" = 4, "First" = tagged_na("c"),
"Refused" = tagged_na("a"), "Not home" = tagged_na("z")))
# get all values
get_values(x)
# drop NA
get_values(x, drop.na = TRUE)
# data frame as input
y <- labelled(c(2:3, 3:1, tagged_na("y"), 4:1),
c("Agreement" = 1, "Disagreement" = 4, "Why" = tagged_na("y")))
get_values(data.frame(x, y))
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