Replace a NULL value with NA in a list

Source: R/replace_x.R

Replace items with a zero length in a list with the value supplied in the argument replacement. Useful for scenarios where NULL is sometimes a valid input from legacy code. Nested lists can behave badly when they have a NULL entry, for example when converting to a tibble::tibble(), it will be unnamed.

replace_x(x, replacement = NA_integer_)

Arguments

x

An object that potentially has a length of zero and you wish it to be an actual value.

replacement

The value you would like to use to replace items with a length of zero. For example, the default NA_integer_ will replace all NULL values with NA. Other options for this argument could be NA_character_.

Value

The object x is returned with some items replaced. If the input object was of zero length, then the replacement parameter will be returned instead.

Author

Amanda from stack overflow

Examples

employees <- list(
  list(
    id = 1,
    dept = "IT",
    age = 29,
    sportsteam = "softball"
  ),
  list(
    id = 2,
    dept = "IT",
    age = 30,
    sportsteam = NULL
  ),
  list(
    id = 3,
    dept = "IT",
    age = 29,
    sportsteam = "hockey"
  ),
  list(
    id = 4,
    dept = NULL,
    age = 29,
    sportsteam = "softball"
  )
)
# Meat of the example here!
if (FALSE) { # \dontrun{
do.call(rbind, lapply(employees, rbind)) %>%
  data.frame() %>%
  purrr::modify_depth(2, replace_x)
} # }