productionProcessingParameters: Default Processing Parameters

Description Usage Arguments Details Value

Description

This function can be used to generate the input parameters for the data pre-processing code. This is a good way to get a list of the required parameters and then modify parameters to match your particular configuration.

Usage

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productionProcessingParameters(datasetConfig, dataset = "aproduction",
  removePriorImputation = FALSE, removeManualEstimation = FALSE,
  keepOnlyProtected = TRUE, imputationObservationFlag = "I",
  imputationMethodFlag = "e", balanceMethodFlag = "i",
  manualEstimationObservationFlag = "E", manualEstimationMethodFlag = "f",
  missingValueObservationFlag = "M", missingValueMethodFlag = "u")

Arguments

datasetConfig

The dataset configuration returned by the function GetDatasetConfig

dataset

The dataset name in the database.

removePriorImputation

logical, whether previous imputation values should be removed.

removeManualEstimation

logical, whether previous manual estimation should be removed.

imputationObservationFlag

The observation flag that represents imputation.

imputationMethodFlag

The observation flag that represents estimated by statistical algorithm.

balanceMethodFlag

The method flag that for calculation based on identity

manualEstimationObservationFlag

The observation status flag that corresponds to manual (FAO) estimates

manualEstimationMethodFlag

The method flag that corresponds to manual (FAO) estimates

missingValueObservationFlag

The observation flag corresponding to missing values.

missingValueMethodFlag

The method flag corresponding to missing values.

Details

Below is a description of the parameters:

Value

Returns a list of the default parameters used in the data pre-processing algorithm.


ncwanner/Production_Validation documentation built on May 8, 2019, 1:48 p.m.