Tim Tiefenbach
Tim Tiefenbach
Based on [this gist](https://gist.github.com/djnavarro/be6106c81ec00f6167fa42014d58f541) `fold` and `fold_over` might be useful add on functions for a future version of dplyover. There should be a better name than `fold` for this kind...
Currently `dplyr::cur_column()` is not supported in `across2()` and `crossover()`. Implement an equivalent function called `cur_x_column()` and `cur_y_column()` that works inside `across2`.
This is a blank issue for problems that might arise when {dplyover} accesses the underyling data in a {dplyr} call with `get_init_data()`. I have not run into problems yet, but...
This is a blank issue for problems that might arise when {dplyover} rebuilds the underyling data of a `dplyr::mutate` call with `rebuild_data()`. I have not run into problems yet, but...
The `meta_setup` function needs to be refactored. This should fulfill three goals: 1. The current setup uses the parent frame of the calling function. This is a dodgy implementation and...
Currently most functions in the over-across function family access the underlying data with a call to `dplyr::cur_data()` which seems to be inefficient. There exist other ways to access the underlying...
Add helper functions for common calls with repetitive arguments such as: - [ ] creating dummy variables - [ ] counting data in wide format - [ ] creating pairwise...
When I started working on {dplyover} `over` was supposed to be the main function. To solve problems where two sets of columns are used to compute new columns the helper...
At the moment `crossover` has two functionalities: 1. Its the equivalent to `across2x` and `over2x` when an object (vector or list) is supplied to `.y` 2. It behaves different, when...