rio (version 1.2.3)

characterize: Character conversion of labelled data

Description

Convert labelled variables to character or factor

Usage

characterize(x, ...)
factorize(x, ...)
# S3 method for default
characterize(x, ...)
# S3 method for data.frame
characterize(x, ...)
# S3 method for default
factorize(x, coerce_character = FALSE, ...)
# S3 method for data.frame
factorize(x, ...)

Value

a character vector (for characterize) or factor vector (for factorize)

Arguments

x

A vector or data frame.

...

additional arguments passed to methods

coerce_character

A logical indicating whether to additionally coerce character columns to factor (in factorize). Default FALSE.

Details

characterize converts a vector with a labels attribute of named levels into a character vector. factorize does the same but to factors. This can be useful at two stages of a data workflow: (1) importing labelled data from metadata-rich file formats (e.g., Stata or SPSS), and (2) exporting such data to plain text files (e.g., CSV) in a way that preserves information.

See Also

gather_attrs()

Examples

## vector method
x <- structure(1:4, labels = c("A" = 1, "B" = 2, "C" = 3))
characterize(x)
factorize(x)

## data frame method
x <- data.frame(v1 = structure(1:4, labels = c("A" = 1, "B" = 2, "C" = 3)),
                v2 = structure(c(1,0,0,1), labels = c("foo" = 0, "bar" = 1)))
str(factorize(x))
str(characterize(x))

## Application
csv_file <- tempfile(fileext = ".csv")
## comparison of exported file contents
import(export(x, csv_file))
import(export(factorize(x), csv_file))