zap_labels: Zap value labels

In tidyverse/haven: Import and Export 'SPSS', 'Stata' and 'SAS' Files

Zap value labels

Description

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 by default, replacing with standard NAs. Use the user_na argument to override this behaviour.

Usage

zap_labels(x, ...)

## S3 method for class 'haven_labelled_spss'
zap_labels(x, ..., user_na = FALSE)

Arguments

x	A vector or data frame
...	Other arguments passed down to method.
user_na	If FALSE, the default, zap_labels() will convert labelled_spss() user-defined missing values to NA. If TRUE they will be treated like normal values.

See Also

zap_label() to remove variable labels.

Other zappers: zap_empty(), zap_formats(), zap_label(), zap_widths()

Examples

x1 <- labelled(1:5, c(good = 1, bad = 5))
x1
zap_labels(x1)

x2 <- labelled_spss(c(1:4, 9), c(good = 1, bad = 5), na_values = 9)
x2
zap_labels(x2)

# Keep the user defined missing values
zap_labels(x2, user_na = TRUE)

# zap_labels also works with data frames
df <- tibble::tibble(x1, x2)
df
zap_labels(df)

tidyverse/haven documentation built on Oct. 14, 2024, 8:55 a.m.