Function reference
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agg_metadata
- Aggregation metadata
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aggregation_df_cols
- PFUAggPipeline data frame column names
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aggregation_file_cols
- Aggregation file column names
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aggregation_file_tab_names
- Aggregation file tab information
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calculate_finaldemand_aggregates()
- Calculate final demand aggregates for PSUT data
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calculate_pfu_aggregates()
- Calculate primary, final, and useful aggregates
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calculate_primary_aggregates()
- Calculate primary aggregates for PSUT data
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calculate_sector_agg_eta_fu()
- Calculate final and useful sector sums and efficiencies
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chop_R_eccs()
chop_Y_eccs()
- Chop the R and Y matrices
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create_fd_sectors_list()
- Compile the list of final demand sectors
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despecified_aggregations()
- Despecify and aggregate all PSUT matrices
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efficiency_cols
- Efficiency columns
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exiobase_coeffs()
- Calculate Exiobase coefficients
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get_pipeline()
- Create a targets workflow
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gross_net_metadata
- Gross and net metadata
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grouped_aggregations()
- Aggregate PSUT matrices by row and column groups
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load_aggregation_maps()
- Load aggregation maps
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output_file_info
- Output file information
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pivot_for_csv()
- Pivot a data frame for saving as a .csv file
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pr_in_agg_pipeline()
- Bundle several aggregation calculations together
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region_pipeline()
- Aggregation regions
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rename_prime_psut_columns()
- Rename "_prime" columns
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rename_suffixed_psut_columns()
- Delete original and rename aggregated columns
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sea_cols
- Data frame column names
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stack_chopped_ECCs()
- Stack chopped ECC data frames
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stack_despecification_aggregations()
- Stack all product and industry aggregations
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stack_group_aggregations()
- Stack grouped data frames