Will create a separate group for each dose intervals that contains at least one sample

group_by_dose(
  data,
  dictionary = list(ID = "ID", EVID = "EVID", TIME = "TIME"),
  ...
)

Arguments

data: NONMEM-style data.frame, or path to CSV file with NONMEM data
dictionary: data dictionary. Optional, a named character vector that specifies the column names to be used from the dataset.
...: Additional arguments passed onto fun. See the respective grouping functions for more details. E.g. for group_by_time, need a bins argument.

Value

a numeric vector of the same length as the number of rows in data.

Examples

group_by_dose(nm_busulfan)
#>   [1] 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3
#>  [38] 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1
#>  [75] 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3
#> [112] 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1
#> [149] 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3
#> [186] 3 4 4 4 4 4 4 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 1 1 1 1 1 1
#> [223] 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4