A minimal function which counts the number of observations by groups in a data frame

Usage

jointfun_(.data, .variables, ...)

Arguments

.data: data frame to be processed
.variables: variables to split data frame by, as a character vector (c("var1", "var2")).
...: additional function calls to be applied on the .data

Value

a data frame, with a column for each cateogrical variable used, and a row for each combination of all the categorical variables' modalities.

Examples

data("invented_wages")
tmp <- jointfun_(.data = invented_wages, .variables = c("gender", "sector"))
tmp
#> # A tibble: 4 × 3
#> # Groups:   gender [2]
#>   gender sector        n
#>   <fct>  <fct>     <int>
#> 1 men    secondary   289
#> 2 men    tertiary    258
#> 3 women  secondary   166
#> 4 women  tertiary    287
str(tmp)
#> gropd_df [4 × 3] (S3: grouped_df/tbl_df/tbl/data.frame)
#>  $ gender: Factor w/ 2 levels "men","women": 1 1 2 2
#>  $ sector: Factor w/ 2 levels "secondary","tertiary": 1 2 1 2
#>  $ n     : int [1:4] 289 258 166 287
#>  - attr(*, "groups")= tibble [2 × 2] (S3: tbl_df/tbl/data.frame)
#>   ..$ gender: Factor w/ 2 levels "men","women": 1 2
#>   ..$ .rows : list<int> [1:2] 
#>   .. ..$ : int [1:2] 1 2
#>   .. ..$ : int [1:2] 3 4
#>   .. ..@ ptype: int(0) 
#>   ..- attr(*, ".drop")= logi TRUE