
# groupdata2 2.0.3

* Fixes some warnings.

* Fixes rounding error issue on PowerPC (https://github.com/LudvigOlsen/groupdata2/issues/10). Thanks @barracuda156.

# groupdata2 2.0.2

* Makes use of suggested packages conditional.

* Makes testing conditional on the availability of `xpectr`.

* Fixes `tidyselect`-related warnings.

* Removes hydroGOF from suggested packages.

# groupdata2 2.0.1

* Regenerates documentation.

# groupdata2 2.0.0

**Summary** 

This version introduces `collapse_groups()` and friends, as well as `summarize_balances()` and `ranked_balances()`. It also improves numerical balancing in `fold()` which breaks reproducibility.

**Changes**

* **Breaking**: The numerical balancing (`num_col`) in `fold()` gets multiple improvements. This breaks reproducibility in some contexts.

  - Fixes bug with selection of groups to redistribute when `extreme_pairing_levels > 1`. The groupings were likely to be fine, but the fix should give better groupings on average.
 
  - When possible, it redistributes the smallest and/or largest group if they are 1 standard deviation from the second smallest/largest group to avoid imbalances due to very small/large scores.
 
  - Adds use of extreme triplet grouping when too few grouping columns are created with extreme pairing. This can lead to an increase in the number of created fold columns. In some cases, these groupings may be more balanced than with extreme pairing, but on average extreme pairing leads to more balanced groupings. See `rearrr::triplet_extremes()` for more on extreme triplet grouping.

  - Adds argument `use_of_triplets` in `fold()` to allow using extreme triplet grouping instead of extreme pairing or disabling it completely.

* Adds `collapse_groups()` for collapsing a set of existing groups into a smaller set of groups. Can balance the
new groups by size and by numeric, categorical and ID columns. The more of these you balance at a time, the less balanced each will tend to be. Compare settings by summarizing the balances with `summarize_balances()` afterwards. For creating the most balanced groups, enable `auto_tune`.

* Adds `collapse_groups_by_size()`, `collapse_groups_by_numeric()`, `collapse_groups_by_levels()`, and `collapse_groups_by_ids()`. These are wrappers of `collapse_groups()` for a simplified interface.

* Adds `summarize_balances()` for inspecting the balance of numeric, categorical, and ID columns in-and-between groups.

* Adds `ranked_balances()` for extracting the across-group standard deviations of balances from the output of `summarize_balances()`. The standard deviations are a measure of how balanced a split is.

* Adds `"every"` method to grouping functions. Groups every `n` data points together.

* Prepares package's tests for `checkmate 2.1.0`.

# groupdata2 1.5.0

* Breaking: Rewrites large parts of the numerical balancing engine used in `fold()` and `partition()`. This produces different groups in some cases. Outsources extreme pairing to `rearrr::pair_extremes()`. Now uses hierarchical shuffling (`rearrr::shuffle_hierarchy()`) in `partition()` and some cases of `fold()` (relevant when `extreme_pairing_levels` > 1).
If you need reproducibility, the last version prior to this breaking change can be installed with `devtools::install_github("ludvigolsen/groupdata2@v1.4.2")`.

* Imports `rearrr` for use in numerical balancing.

* Minor improvements to vignettes.

# groupdata2 1.4.2

* Improves documentation for core grouping functions.

# groupdata2 1.4.1

* Adds `summarize_group_cols()` for finding the number of groups per fold column along with statistics about the number of rows per group.

* Breaking: Fixes internal sorting of fold columns. This sometimes changes the order of fold columns, compared to the previous version.

* Adds `tidyr` as a required dependency. Previously, it was suggested.

# groupdata2 1.4.0

* Breaking: In `fold()`, the `k` argument can now be a multi-element vector with one `k` (number of folds) per fold column. This functionality required a minor rewrite, why you might see interchanged fold column names in comparison to the previous versions.

* Bug fix: In `fold()` and `partition()`, when specifying multiple `cat_col` columns *and* `num_col` in the same call, it would fail. This now works.

# groupdata2 1.3.0

* Breaking: The following functions now work with *grouped* `data.frames` (meaning that they are applied group-wise): `fold()`, `partition()`, `group()`, `group_factor()`, `splt()`, `balance()`, `upsample()`, `downsample()`, `differs_from_previous()`, and `find_missing_starts()`. A message is generated *once per session*, when the input is grouped, to help users understand why their code is breaking.

# groupdata2 1.2.1

* `checkmate` compatibility.

* Small speed up of `n_dist` grouping method.

# groupdata2 1.2.0

* Adds Zenodo DOI for easier citation.

* Adds `lifecycle` badges to function documentation.

* Adds argument `handle_na` to `differs_from_previous()` and `find_starts()`.

* Bug fix: In grouping functions with method `l_starts` and `n = "auto"`, `NA`s are now replaced by a unique value before finding group starts. E.g. `c(1,1,1,2,2,NA,NA,4,4)` yields 4 groups.

* More explicit: the `data` argument in `fold()` and `participant` takes a data frame, not a vector.

* Possibly breaking change: Adds `checkmate` input checks. Improves error messages but also restricts behavior.

* Adds `xpectr` as suggested package. Doubles number of unit tests.


# groupdata2 1.1.2

* Adds `all_groups_identical()` for testing if two grouping factors contain the same groups,
looking only at the group members, allowing for different group names / identifiers.

* Unit tests were made compatible with R versions lower than 3.6.

* Adds badges to README, including travis-ci status, AppVeyor status, 
Codecov, min. required R version, CRAN version and monthly CRAN downloads. Note: Zenodo badge will be added post release.


# groupdata2 1.1.1  

* Bug fix: `fold()` ungroups dataset before removing existing fold columns.  

* Unit tests are skipped on R versions lower than 3.6.  


# groupdata2 1.1.0  

* New main function: `balance()` used for up- and downsampling of data to balance sample size within categories and IDs. 
Thanks for the request from @jjesusfilho (#3).  

* New wrapper function: `upsample()` wraps `balance()` with `size="max"`.  

* New wrapper function: `downsample()` wraps `balance()` with `size="min"`.    

* Adds parameter `num_col` to `fold()` and `partition()` for balancing on a numeric column.  

* Adds parameter `id_aggregation_fn` to `fold()` and `partition()`. Used when balancing on both `id_col` and `num_col`.  

* Adds helper tool `differs_from_previous()`. Finds values in a vector that differs from the previous value by some threshold. Similar to `find_starts()`.

* Adds parameter `num_fold_cols` to `fold()`. Useful for creating multiple fold columns for repeated cross-validation.

* Adds parameter `unique_fold_cols_only` to `fold()`. Whether to only include unique fold columns or not.   

* Adds parameter `max_iters` to `fold()`. How many times to attempt creating unique fold columns. Note that it is possible to get fewer fold columns than specified in `num_fold_cols`.

* Adds parameter `parallel` to `fold()`. When creating multiple *unique* fold columns, we can run the column comparisons in parallel. Requires registered parallel backend.

* Adds parameter `handle_existing_fold_cols` to `fold()`. When calling `fold()` on a data frame that already contains columns with names starting with `".folds"`, we can either keep them and add more, or replace them.

* Fixed behavior in `fold()` when k is a percentage (between 0-1). It is now interpreted as the approximate size of each fold and used to calculate the number of folds. E.g. `k=0.2` will lead to 5 folds.  


# groupdata2 1.0.0

* New main function: `partition()` - used for creating balanced partitions by partition sizes.  

* New method category: `l_` methods - n is passed as a list.  

* New method: `l_sizes` - Uses list of group sizes to create grouping factor. Can be used for partitioning (e.g. `n = c(0.2, 0.3)` returns 3 groups with 0.2 (20\%), 0.3 (30\%) and the exceeding 0.5 (50\%) of the data points).  

* New method: `l_starts` - Uses list of start positions to create groups. Define which values from a vector to start a new group at. Skip to later appearances of a value. Use n = 'auto' to automatically find starts using `find_starts()`.  

* New helper tool: `find_starts()` - Finds start positions in a vector. I.e. values that differ from the previous value. Get the values or indices of the values. Output can be used as `n` in `l_starts` method.  

* New helper tool: `find_missing_starts()` - Returns the start positions that would be recursively removed when using the `l_starts` method with remove_missing_starts set to TRUE.

* Added argument `remove_missing_starts` to grouping functions. Recursively remove the starting positions not found with `l_starts` method.

* New method: `primes` - similar to `staircase` but with primes as steps (e.g. group sizes 2,3,5,7..).  

* New remainder tool: `%primes%` - similar to `%staircase%` but for the new primes method.  


# groupdata2 0.1.0

* Submitted package to CRAN.  

* Main functions and tools of this version is `group_factor()`, `group()`, `splt()`, `fold()`, and `%staircase%`.  


# groupdata2 0.0.0.9000

* Created package :)  
