ensureTimeSeriesImputed: This function checks whether all time series within a dataset...

In SWS-Methodology/faoswsEnsure: The package host standard check function for the Statistical Working System (SWS)

Description

This function checks whether all time series within a dataset are imputed.

Usage

ensureTimeSeriesImputed(data, key, valueColumn = "Value",
  observationFlagVar = "flagObservationStatus", returnData = TRUE,
  normalised = TRUE, denormalisedKey = "measuredElement",
  getInvalidData = FALSE)

Arguments

data	The data to be saved back to the database
key	The key which splits the data into individual timeseries. Generally the set c('geographicAreaM49', 'measuredItemCPC', 'measuredElement').
valueColumn	The column which contains the numeric values.
observationFlagVar	The variable name which corresponds to the observation status flag.
returnData	logical, whether the data should be returned
normalised	logical, whether the data is normalised
denormalisedKey	optional, only required if the input data is not normalised.It is the name of the key that denormalises the data.
getInvalidData	logical, this will skip the test and extract the data that is invalid.

Value

If getInvalidData is FALSE, then the data is returned when the test is cleared, otherwise an error. If getInvalidData is TRUE, then the subset of the data that is invalid is returned.

SWS-Methodology/faoswsEnsure documentation built on May 9, 2019, 11:47 a.m.