Archived dataset capable as_factor

Changes in `haven` have meant that `labelled` class are now referred to as `haven_labelled` classes. If `haven::as_factor` is used on old datasets they will fail to find the suitable method. rdhs::as_factor.labelled will work on old archived datasets that have a `labelled` class.

Usage

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

Arguments

x

Object to coerce to a factor.

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.

...

Other arguments passed down to method.

Details

For more details see haven::as_factor

Examples

if (FALSE) { # \dontrun{
# create a data.frame using the new haven_labelled class
df1 <- data.frame(
area = haven::labelled(c(1L, 2L, 3L), c("reg 1"=1,"reg 2"=2,"reg 3"=3)),
climate = haven::labelled(c(0L, 1L, 1L), c("cold"=0,"hot"=1))
)

# manually change it to the old style
class(df1$area) <- "labelled"
class(df1$climate) <- "labelled"

# with rdhs attached, i.e. library(rdhs), we can now do the following
haven::as_factor(df1$area)

# we can also use this on the data.frame by using the only_labelled argument
haven::as_factor(df1, only_labelled = TRUE)
} # }