preAggregateMultipleTLRows: Aggregate multiple rows in raw Tariff Line data.
In SWS-Methodology/faoswsTrade: FAO Trade Module
View source: R/preAggregateMultipleTLRows.R
preAggregateMultipleTLRows R Documentation
Aggregate multiple rows in raw Tariff Line data.
Description
Do a first aggregation of raw Tariff Line data, when possible.
Usage
preAggregateMultipleTLRows(rawdata = NA)
Arguments
rawdata
Raw TL (a tibble).
Details
Tariff Line (TL) data can have multiple rows. They can be aggregated
(by taking also into account the possible different units) when value,
quantity, and weight are present. Other two possibilities is to do the
aggregation when weight is always missing, but quantity is always present
and vice versa. When aggregation is not possible the record will be left
untouched as the missing variable will be imputed in the imputation step.
Value
The original TL data after aggregation, when possible (see
details). A new variable (nrows) is created and indicates the
original number of rows that were aggregated.
SWS-Methodology/faoswsTrade documentation built on Feb. 13, 2023, 1:04 a.m.
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View source: R/preAggregateMultipleTLRows.R
| preAggregateMultipleTLRows | R Documentation |
Aggregate multiple rows in raw Tariff Line data.
Description
Do a first aggregation of raw Tariff Line data, when possible.
Usage
preAggregateMultipleTLRows(rawdata = NA)
Arguments
rawdata |
Raw TL (a tibble). |
Details
Tariff Line (TL) data can have multiple rows. They can be aggregated (by taking also into account the possible different units) when value, quantity, and weight are present. Other two possibilities is to do the aggregation when weight is always missing, but quantity is always present and vice versa. When aggregation is not possible the record will be left untouched as the missing variable will be imputed in the imputation step.
Value
The original TL data after aggregation, when possible (see
details). A new variable (nrows) is created and indicates the
original number of rows that were aggregated.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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