disaggregate_dt: Disaggregate data in a data.table object using a mapping. If...

In pik-piam/rmndt: Tools for data.table objects in the REMIND context

Disaggregate data in a data.table object using a mapping. If no weights are given, the value for the aggregated categories is used on the disaggregated ones. If a weight is given, the values from the aggregated categories are distributed according to the weights.

Description

Disaggregate data in a data.table object using a mapping. If no weights are given, the value for the aggregated categories is used on the disaggregated ones. If a weight is given, the values from the aggregated categories are distributed according to the weights.

Usage

disaggregate_dt(
  data,
  mapping,
  fewcol = "region",
  manycol = "iso",
  valuecol = "value",
  datacols = "data",
  weights = NULL,
  weightcol = "weight"
)

Arguments

data	a data.table.
mapping	a mapping between the aggregated categories and their parts. *All* aggregated categories in 'data' have to be part of the mapping.
fewcol	name of the column containing aggregated categories. Default is "region".
manycol	name of the column containing dis-aggregated categories. Default is "iso".
valuecol	name of the column with the actual value to disaggregate, default is 'value'.
datacols	index columns that label categories which have to be treated seperately when dis-aggregating with a weight.
weights	table with weights for disaggregation, the name of the column with the aggregated categories has to be 'manycol'. If columns (other than the column with the aggregated category) of the 'weights' coincide with columns of the data, the respective columns are considered when joining.
weightcol	column with the weights for the dis-aggregation, default is 'weight'.

pik-piam/rmndt documentation built on April 21, 2024, 4:31 a.m.