Zap labels

Removes 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 all with NAs.

This function removes value labels; use zap_label() to remove variable labels.

zap_labels(x)

Arguments

x	A vector or data frame

See also

Other zappers: zap_empty, zap_formats, zap_label, 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::tibble(x1, x2)
df
#> # A tibble: 5 x 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 x 2
#>      x1    x2
#>   <int> <dbl>
#> 1     1     1
#> 2     2     2
#> 3     3     3
#> 4     4     4
#> 5     5    NA