The base function as.factor() is not a generic, but this variant is. Methods are provided for factors, character vectors, labelled vectors, and data frames. By default, when applied to a data frame, it only affects labelled columns.

# S3 method for data.frame
as_factor(x, ..., only_labelled = TRUE)

# S3 method for labelled
as_factor(x, levels = c("default", "labels", "values",
  "both"), ordered = FALSE, ...)

Arguments

x

Object to coerce to a factor.

...

Other arguments passed down to method.

only_labelled

Only apply to labelled columns?

levels

How to create the levels of the generated factor:

  • "default": uses labels where available, otherwise the values. Labels are sorted by value.

  • "both": like "default", but pastes together the level and value

  • "label": use only the labels; unlabelled values become NA

  • "values: use only the values

ordered

If TRUE create an ordered (ordinal) factor, if FALSE (the default) create a regular (nominal) factor.

Examples

x <- labelled(sample(5, 10, replace = TRUE), c(Bad = 1, Good = 5)) # Default method uses values where available as_factor(x)
#> [1] Bad Good 4 Bad Bad 3 3 2 4 4 #> Levels: Bad 2 3 4 Good
# You can also extract just the labels as_factor(x, "labels")
#> [1] Bad Good <NA> Bad Bad <NA> <NA> <NA> <NA> <NA> #> Levels: Bad Good
# Or just the values as_factor(x, "values")
#> [1] 1 5 <NA> 1 1 <NA> <NA> <NA> <NA> <NA> #> Levels: 1 5
# Or combine value and label as_factor(x, "both")
#> [1] [1] Bad [5] Good 4 [1] Bad [1] Bad 3 3 2 #> [9] 4 4 #> Levels: [1] Bad 2 3 4 [5] Good