Feature aggregators

Feature aggregators

Usage

key_join_sum(.data, feature)

key_join_max(.data, feature)

key_join_min(.data, feature)

key_join_count(.data, feature)

Arguments

.data

(any)
The data object to perform the operation on.

feature

(character)
Name of the feature to perform the aggregation over

Value

A dplyr::summarise to aggregate the features together using the given function (sum/max/min/count)

Examples

  # Primarily used within the framework but can be used individually:

  data <- dplyr::mutate(mtcars, key_name = rownames(mtcars), .before = dplyr::everything())

  key_join_sum(data, "mpg")    # sum(mtcars$mpg)
#>       n
#> 1 642.9
  key_join_max(data, "mpg")    # max(mtcars$mpg)
#>      n
#> 1 33.9
  key_join_min(data, "mpg")    # min(mtcars$mpg)
#>      n
#> 1 10.4
  key_join_count(data, "mpg")  # nrow(mtcars)
#>    n
#> 1 32