diseasystore (version 0.3.1)

aggregators: Feature aggregators

Description

Feature aggregators

Usage

key_join_sum(.data, feature)
key_join_max(.data, feature)
key_join_min(.data, feature)
key_join_count(.data, feature)

Value

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

Arguments

.data

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

feature

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

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$mpg)
  key_join_max(data, "mpg")    # max(mtcars$mpg)
  key_join_min(data, "mpg")    # min(mtcars$mpg)
  key_join_count(data, "mpg")  # nrow(mtcars)