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Pass argument to group_by

mytable <- function( x, group ) {
  x %>% 
    group_by( .data[[group]] ) %>% 
    summarise( n = n() )
}

group_string <- 'Species'

mytable( iris, group_string )

`summarise()` ungrouping output (override with `.groups` argument)
# A tibble: 3 x 2
  Species        n
  <fct>      <int>
1 setosa        50
2 versicolor    50
3 virginica     50
Comment

Pass argument to group_by (2)

mytable <- function(x, group) {
  x %>% 
    group_by({{group}}) %>% 
    summarise(n = n())
}
mytable(iris, Species)
Comment

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