Etienne Bacher

FYI I don't have any error with your code: ``` r library(fixest) dat = tibble::tibble(`L@y`=rnorm(10), `L°y`=rnorm(10),x=rnorm(10) ) lm(`L@y`~x, data=dat) #> #> Call: #> lm(formula = `L@y` ~ x, data =...

Oh right, my bad

Passing thought: might be worth implementing `tidyr`'s new functions `separate_wider_delim()`, `separate_wider_position()`, `separate_wider_regex()`. `separate()` would then only call one of these depending on the type of input

I understand that you can't cover all new things in `dplyr` and `tidyr`. What I meant is just that even from the developer's point of view, it might be easier/cleaner...

This PR is useless as-is and it's not hard to redo if needed later.

To add more information, it is possible to specify the order using `fixef.group`. However, this only works in the default "console" format, it doesn't work with `tex = TRUE`: ```...

*bump* @IndrajeetPatil @strengejacke

How `skimr` does it: ``` r library(skimr) dat

maybe `describe_distribution()` for factor/characters could show something similar: n, n_missing, ordered, n_unique, mode (cf #160) but should it still be named `describe_distribution()` then?

@mattansb Do you think you will have time to finish this PR for a release in the next few weeks?