Removes labels, leaving unlabelled vectors as is. Use this if you want to simply drop all labelling from a data frame. Zapping labels from labelled_spss also removes user-defined missing values, replacing all with NAs.

zap_labels(x)

Arguments

x

A vector or data frame

See also

Other zappers: zap_empty, zap_formats, zap_widths

Examples

x1 <- labelled(1:5, c(good = 1, bad = 5)) x1
#> <Labelled integer> #> [1] 1 2 3 4 5 #> #> Labels: #> value label #> 1 good #> 5 bad
zap_labels(x1)
#> [1] 1 2 3 4 5
x2 <- labelled_spss(c(1:4, 9), c(good = 1, bad = 5), na_values = 9) x2
#> <Labelled SPSS double> #> [1] 1 2 3 4 9 #> Missing values: 9 #> #> Labels: #> value label #> 1 good #> 5 bad
zap_labels(x2)
#> [1] 1 2 3 4 NA
# zap_labels also works with data frames df <- tibble::data_frame(x1, x2) df
#> # A tibble: 5 × 2 #> x1 x2 #> <int+lbl> <dbl+lbl> #> 1 1 1 #> 2 2 2 #> 3 3 3 #> 4 4 4 #> 5 5 9
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