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Unless I am mistaken, the def.calc.sdg function insists that the dataframe names exactly match those referenced in the function (i.e., concentrationCO2Air). It would be nice if the user could map the function arguments to any column in their dataframe. For example, their column for the CO2 concentration in the source gas might be called “concentrationCO2Source”, in which case it would be convenient to call:
but this doesn’t work. Could we modify the function so that it still works seamlessly with the formatted NEON data, yet allows for flexibility in the names of the input data?
The text was updated successfully, but these errors were encountered:
Unless I am mistaken, the def.calc.sdg function insists that the dataframe names exactly match those referenced in the function (i.e., concentrationCO2Air). It would be nice if the user could map the function arguments to any column in their dataframe. For example, their column for the CO2 concentration in the source gas might be called “concentrationCO2Source”, in which case it would be convenient to call:
def.calc.sdg(inputFile, sourceCO2 = concentrationCO2Source, ….)
but this doesn’t work. Could we modify the function so that it still works seamlessly with the formatted NEON data, yet allows for flexibility in the names of the input data?
The text was updated successfully, but these errors were encountered: