Remove labels that do not appear in the data. When converting labelled values to a factor, this avoids the creation of additional factor levels.
Arguments
- x
A
labelled
vector
Value
A labelled
vector
See also
Other lbl_helpers:
lbl()
,
lbl_add()
,
lbl_define()
,
lbl_na_if()
,
lbl_relabel()
,
zap_ipums_attributes()
Examples
x <- haven::labelled(
c(1, 2, 3, 1, 2, 3, 1, 2, 3),
c(Q1 = 1, Q2 = 2, Q3 = 3, Q4 = 4)
)
lbl_clean(x)
#> <labelled<double>[9]>
#> [1] 1 2 3 1 2 3 1 2 3
#>
#> Labels:
#> value label
#> 1 Q1
#> 2 Q2
#> 3 Q3
# Compare the factor levels of the normal and cleaned labels after coercion
as_factor(lbl_clean(x))
#> [1] Q1 Q2 Q3 Q1 Q2 Q3 Q1 Q2 Q3
#> Levels: Q1 Q2 Q3
as_factor(x)
#> [1] Q1 Q2 Q3 Q1 Q2 Q3 Q1 Q2 Q3
#> Levels: Q1 Q2 Q3 Q4