fillRecord: This function replaces non-existing records with missing...

In SWS-Methodology/faoswsProcessing: Standard data manipulation procedure for SWS.

Description

Occastionally the database may return records where all three columns (value, observation flag, method flag) are all NA and is a non-existing record in the database; this can also be created when denormalising data. We will replace is with a missing record representation where (Value = NA, flagObservationStatus = "M" and flagMethod = "u").

Usage

fillRecord(data, areaVar = "geographicAreaM49", itemVar = "measuredItemCPC",
  elementVar = "measuredElement", yearVar = "timePointYears",
  valueVar = "Value", flagObsVar = "flagObservationStatus",
  flagMethodVar = "flagMethod")

Arguments

data	The dataset
areaVar	The column name corresponding to the geographic area.
itemVar	The column name corresponding to the commodity item.
elementVar	The column name corresponds to the measured element.
yearVar	The column name corresponds to the time dimension.
valueVar	The regular expression to capture the value column.
flagObsVar	The regular expression to capture the observation status flag column.
flagMethodVar	The regular expression to capture the method flag column.

Value

dataset with identical dimension but creates missing record in place of non-existing record.

SWS-Methodology/faoswsProcessing documentation built on June 19, 2019, 5:14 p.m.