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  ## derive them later when they are needed.

#' @export

#' @return A tibble with classes `vfold_cv`, `rset`, `tbl_df`, `tbl`, and

#'  `data.frame`. The results include a column for the data split objects and

#'  one column called `id` that has a character string with the fold identifier.

#'  For repeats, `id` is the repeat number and an additional column called `id2`

#'  that contains the fold information (within repeat).

    }

  }

  ## derive them later when they are needed.

#'

#' @param object An `rset` object

#' @param make_factor A logical for whether the results should be

#' @param ... Not currently used.

#' @return A single character or factor vector.

#' @export

## can have more than one element (in the case of nesting)

#'

#'

#' @param x An `rset` object

#' @param ... Not currently used.

#'

#' For a data set, `add_resample_id()` will add at least one new column that

#'  identifies which resample that the data came from. In most cases, a single

#' @param .data A data frame

#' @param split A single `rset` object.

#' @param dots A single logical: should the id columns be prefixed with a "."

#'   specified and, if it is given, will be ignored.

#' @param inside An expression for the type of resampling to be conducted

#'   within the initial procedure.

#'   outer resampling process normally contains. The results include a

#'  column for the outer data split objects, one or more `id` columns,

#'  and a column of nested tibbles called `inner_resamples` with the

  ## derive them later when they are needed.