Generate A Data Frame of Units and Target by Characteristic Name

This function generates a data frame listing all unique characteristic (by CharacteristicName) and unit (by TADA.ResultMeasure.MeasureUnitCode) pairs present in the dataset. Where possible, the function fills in the columns for target unit, and conversion factor. Users can edit it and use it as an input for TADA_ConvertResultUnits to customize standardization of units by characteristic. The TADA.ResultMeasure.MeasureUnitCode column automatically incorporates any additional unique unit codes from TADA.DetectionQuantitationLimiMeasure.MeasureUnitCode that were not observed in TADA.ResultMeasure.MeasureUnitCode. This is done to facilitate estimating censored data later in the workflow. All variants of TADA.ResultMeasure.MeasureUnitCode and ResultMeasure.MeasureUnitCode, including USGS results where speciation is listed in the units are included. This facilitates moving speciation from units to TADA.MethodSpeciationName in TADA_ConvertResultUnits.

Usage

TADA_CreateUnitRef(.data, print.message = TRUE)

Arguments

.data

TADA dataframe

print.message

Boolean argument with two possible arguments, TRUE and FALSE. When print.message = TRUE, a message is printed that lists any characteristics (TADA.CharacteristicName) that have been assigned more than one target unit. When print.message = FALSE, no message is printed. The default is print.message = TRUE.

Value

A dataframe with seven columns: TADA.CharacteristicName, TADA.ResultMeasure.MeasureUnitCode, ResultMeasure.MeasureUnitCode, TADA.Target.ResultMeasureUnit, TADA.MethodSpeciatioName, ConversionFactor, and ConversionCoefficient. The number of rows will vary based on the number of unique TADA.CharacteristicName/ResultMeasure.MeasureUnitCode combinations in the initial TADA dataframe.

Details

The columns created by TADA_AutoClean are required to run this function. If they are not present in the data frame, TADA_AutoClean is automatically run before the unit reference data frame is created.

Examples

# Load example dataset:
data(Data_Nutrients_UT)

# Create a unit reference data frame
UT_UnitRef <- TADA_CreateUnitRef(Data_Nutrients_UT)