Removes value labels, leaving unlabelled vectors as is. Use this if you
want to simply drop all labels
from a data frame.
Zapping labels from labelled_spss()
also removes user-defined missing
values, replacing with standard NA
s.
zap_labels(x)
x | A vector or data frame |
---|
zap_label()
to remove variable labels.
Other zappers:
zap_empty()
,
zap_formats()
,
zap_label()
,
zap_widths()
#> <labelled<integer>[5]> #> [1] 1 2 3 4 5 #> #> Labels: #> value label #> 1 good #> 5 badzap_labels(x1)#> [1] 1 2 3 4 5#> <labelled_spss<double>[5]> #> [1] 1 2 3 4 9 #> Missing values: 9 #> #> Labels: #> value label #> 1 good #> 5 badzap_labels(x2)#> [1] 1 2 3 4 NA#> # A tibble: 5 × 2 #> x1 x2 #> <int+lbl> <dbl+lbl> #> 1 1 [good] 1 [good] #> 2 2 2 #> 3 3 3 #> 4 4 4 #> 5 5 [bad] 9 (NA)zap_labels(df)#> # A tibble: 5 × 2 #> x1 x2 #> <int> <dbl> #> 1 1 1 #> 2 2 2 #> 3 3 3 #> 4 4 4 #> 5 5 NA