It is important to note that these parameters essentially control how much to attribute the CO2 in the atmosphere to each component. And these controls are rather subjective. The stl package offers a lot of control over how a time series is decomposed, and I think it's up to the data scientist or statistician reading this book (that is you), to do statistics responsibly.
What if we said that a period was five years? Keeping everything the same, we can use the following code and find out:
lies := stl.Decompose(co2s, 60, 84, stl.Additive(), stl.WithIter(1))dieIfErr(lies.Err)plts2 := plotDecomposed(dates, lies)writeToPng(plts2, "CO2 in the atmosphere (ppm), decomposed (Liar Edition)", "lies.png", 25, 25)
The following ...