stack_chopped_ECCs: Stack chopped ECC data frames

In EnergyEconomyDecoupling/PFUAggDatabase: Calculate Aggregations and Efficiencies For Energy Conversion Chains in PSUT Format

Stack chopped ECC data frames

Description

This function stacks chopped data frames with dplyr::bind_rows().

Usage

stack_chopped_ECCs(
  psut,
  chop_R = NULL,
  chop_Y = NULL,
  chopped_mat = PFUAggPipeline::aggregation_df_cols$chopped_mat,
  chopped_var = PFUAggPipeline::aggregation_df_cols$chopped_var,
  Y_matname = Recca::psut_cols$Y,
  R_matname = Recca::psut_cols$R,
  product_sector = PFUAggPipeline::aggregation_df_cols$product_sector,
  none = PFUAggPipeline::agg_metadata$none
)

Arguments

psut, chop_Y, chop_R	Data frames to be stacked.
chopped_mat, chopped_var	Names of columns that tell the matrix that has been chopped (chop_mat) and the column that contains the the row or column name used for this chop.
R_matname, Y_matname	The names of R and Y matrices to be added to the chopped_var column of the data frame. Defaults are taken from Recca::psut_cols.
product_sector	The name of the data frame column that contains the variable that has been chopped.
none	The string for no chopping. Used with PSUT_Re_all_Gr_all. Default is PFUAggPipeline::agg_metadata$none.

Value

A row-bound version of PSUT_Re_all_Gr_all, PSUT_Re_all_Gr_all_Chop_Y, and PSUT_Re_all_Gr_all_Chop_R.

EnergyEconomyDecoupling/PFUAggDatabase documentation built on Feb. 14, 2024, 9:28 a.m.