A wrapper around `dplyr::count()`

with `sort`

set to `TRUE`

by default and
the an additional column created by default containing the proportional
fraction each observation makes of the whole.

```
count2(x, ..., wt = NULL, sort = TRUE, prop = TRUE, sum = NULL)
count_vec(x, sort = TRUE, prop = TRUE, sum = NULL)
```

- x
A data frame.

- ...
Variables to group by.

- wt
Frequency weights.

- sort
If

`TRUE`

, will show the largest groups at the top.- prop
If

`TRUE`

, compute the fraction of marginal table.- sum
Column to replace with a cumulative sum (

`n`

,`p`

, or`np`

).

A tibble of element counts

```
count2(iris, Species)
#> # A tibble: 3 × 3
#> Species n p
#> <fct> <int> <dbl>
#> 1 setosa 50 0.333
#> 2 versicolor 50 0.333
#> 3 virginica 50 0.333
```