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[Superseded]

This was an experimental function that allows you to modify the grouping variables for a single operation; it is superseded in favour of using the .by argument to individual verbs.

Usage

with_groups(.data, .groups, .f, ...)

Arguments

.data

A data frame

.groups

<tidy-select> One or more variables to group by. Unlike group_by(), you can only group by existing variables, and you can use tidy-select syntax like c(x, y, z) to select multiple variables.

Use NULL to temporarily ungroup.

.f

Function to apply to regrouped data. Supports purrr-style ~ syntax

...

Additional arguments passed on to ....

Examples

df <- tibble(g = c(1, 1, 2, 2, 3), x = runif(5))

# Old
df %>%
  with_groups(g, mutate, x_mean = mean(x))
#> # A tibble: 5 × 3
#>       g     x x_mean
#>   <dbl> <dbl>  <dbl>
#> 1     1 0.231  0.541
#> 2     1 0.850  0.541
#> 3     2 0.237  0.459
#> 4     2 0.681  0.459
#> 5     3 0.545  0.545
# New
df %>% mutate(x_mean = mean(x), .by = g)
#> # A tibble: 5 × 3
#>       g     x x_mean
#>   <dbl> <dbl>  <dbl>
#> 1     1 0.231  0.541
#> 2     1 0.850  0.541
#> 3     2 0.237  0.459
#> 4     2 0.681  0.459
#> 5     3 0.545  0.545