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@@ -66,7 +66,7 @@
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              strata = strata,
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              breaks = breaks)
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  ## We remove the holdout indicies since it will save space and we can
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  ## We remove the holdout indices since it will save space and we can
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  ## derive them later when they are needed.
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  split_objs$splits <- map(split_objs$splits, rm_out)

@@ -26,7 +26,7 @@
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#' @export
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#' @return A tibble with classes `vfold_cv`, `rset`, `tbl_df`, `tbl`, and
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#'  `data.frame`. The results include a column for the data split objects and
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#'  one or more identification variables. For a single repeats, there will be
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#'  one or more identification variables. For a single repeat, there will be
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#'  one column called `id` that has a character string with the fold identifier.
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#'  For repeats, `id` is the repeat number and an additional column called `id2`
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#'  that contains the fold information (within repeat).
@@ -85,7 +85,7 @@
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    }
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  }
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  ## We remove the holdout indicies since it will save space and we can
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  ## We remove the holdout indices since it will save space and we can
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  ## derive them later when they are needed.
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  split_objs$splits <- map(split_objs$splits, rm_out)

@@ -6,7 +6,7 @@
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#'
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#' @param object An `rset` object
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#' @param make_factor A logical for whether the results should be
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#'  character or a factor.
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#'  a character or a factor.
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#' @param ... Not currently used.
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#' @return A single character or factor vector.
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#' @export
@@ -64,9 +64,9 @@
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## can have more than one element (in the case of nesting)
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#' Short Decriptions of rsets
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#' Short Descriptions of rsets
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#'
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#' Produce a chracter vector of describing the resampling method.
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#' Produce a character vector describing the resampling method.
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#'
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#' @param x An `rset` object
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#' @param ... Not currently used.
@@ -219,7 +219,7 @@
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#'
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#' For a data set, `add_resample_id()` will add at least one new column that
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#'  identifies which resample that the data came from. In most cases, a single
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#'  column is added but for some resampling methods two or more are added.
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#'  column is added but for some resampling methods, two or more are added.
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#' @param .data A data frame
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#' @param split A single `rset` object.
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#' @param dots A single logical: should the id columns be prefixed with a "."

@@ -14,7 +14,7 @@
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#'   specified and, if it is given, will be ignored.
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#' @param inside An expression for the type of resampling to be conducted
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#'   within the initial procedure.
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#' @return  An tibble with classe `nested_cv` and any other classes that
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#' @return  An tibble with `nested_cv` class and any other classes that
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#'   outer resampling process normally contains. The results include a
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#'  column for the outer data split objects, one or more `id` columns,
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#'  and a column of nested tibbles called `inner_resamples` with the

@@ -40,7 +40,7 @@
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              strata = strata,
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              breaks = breaks)
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  ## We remove the holdout indicies since it will save space and we can
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  ## We remove the holdout indices since it will save space and we can
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  ## derive them later when they are needed.
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  split_objs$splits <- map(split_objs$splits, rm_out)

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Everything is accounted for!

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What changes does Codecov check for?
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Files Coverage
R 81.90%
Project Totals (26 files) 81.90%
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