dplyover
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TimTeaFan
Create columns by applying functions to vectors and/or columns in 'dplyr'.
I was trying to recreate this example I made with `pwiser` https://gist.github.com/brshallo/01496b68adef88a71de1fd44f3712b10 using `dplyover` but ran into this error: ```r library(tidyverse) if (!require(dplyover) ) remotes::install_github("TimTeaFan/dplyover") penguins % na.omit() t_test_statistic %...
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...
Would be very nice if dplyover "just worked" with dplyr backends. E.g. dbplyr, dtplyr, multidplyr, etc.
I can tell you put a lot of thought into how to handle `.names` and that figuring out an intuitive way of doing this in the different contexts of `{dplyover}`...