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Aggregate cohort-level to herd-level data

Source: R/core_model_allocation.R
calc_cohort_to_herd_aggregation.Rd

This function aggregates a dataset from cohort level to herd level by summing specified variables over the defined 'id' columns.

Usage

calc_cohort_to_herd_aggregation(
  data_cohort,
  id_cols,
  vars_to_sum,
  cohort_short
)

Arguments

data_cohort

Cohort-level dataset containing energy allocation variables and herd identifiers. Each row corresponds to a single sex–age cohort within a herd.

id_cols

Character. Unique identifier for the herd, repeated for each cohort belonging to the same herd.

vars_to_sum

Character vector. Names of numeric cohort-level variables to be summed across cohorts to produce herd-level totals (e.g., meat_allocation_energy, milk_allocation_energy, fibre_allocation_energy, work_allocation_energy, egg_allocation_energy)

cohort_short

Character. Sex- and age-specific cohort code describing the production stage of the animals. Supported values include:

  • FA: adult females (from age at first parturition)

  • FS: sub-adult females (from weaning to age at first parturition)

  • FJ: juvenile females (from birth to weaning)

  • MA: adult males (from age at first breeding)

  • MS: sub-adult males (from weaning to age at first breeding)

  • MJ: juvenile males (from birth to weaning)

Value

A data.table at herd scale, in which selected cohort-level variables have been summed across all cohorts belonging to the same herd, as defined by id_herd.

This function is part of the run_allocation_module() and run_aggregation_module().

See also

run_allocation_module(), run_aggregation_module()