rset_reconstruct function

Extending rsample with new rset subclasses

Extending rsample with new rset subclasses

rset_reconstruct() encapsulates the logic for allowing new rset subclasses to work properly with vctrs (through vctrs::vec_restore()) and dplyr (through dplyr::dplyr_reconstruct()). It is intended to be a developer tool, and is not required for normal usage of rsample.

rset_reconstruct(x, to)

Arguments

  • x: A data frame to restore to an rset subclass.
  • to: An rset subclass to restore to.

Returns

x restored to the rset subclass of to.

Details

rset objects are considered "reconstructable" after a vctrs/dplyr operation if:

  • x and to both have an identical column named "splits" (column and row order do not matter).
  • x and to both have identical columns prefixed with "id" (column and row order do not matter).

Examples

to <- bootstraps(mtcars, times = 25) # Imitate a vctrs/dplyr operation, # where the class might be lost along the way x <- tibble::as_tibble(to) # Say we added a new column to `x`. Here we mock a `mutate()`. x$foo <- "bar" # This is still reconstructable to `to` rset_reconstruct(x, to) # Say we lose the first row x <- x[-1, ] # This is no longer reconstructable to `to`, as `x` is no longer an rset # bootstraps object with 25 bootstraps if one is lost! rset_reconstruct(x, to)