![]() For instance, entering decompearn will show all elements of the decomposition in the example above. ![]() To see all elements of a stored object, simply type its name. As an example, decompearn = decompose(earnings, type = "multiplicative") You can plot the elements of the decomposition by putting the decompose command as an argument of a plot command.Īs an example, plot(decompose(earnings, type = "multiplicative"))Īnother way to plot is to store the results of the decomposition into a named object and then plot the object. Important first step: As a preliminary you have to use a ts command to define the seasonal span for a series.įor quarterly data, it might be name of series = ts(name of series, freq = 4).įor monthly data, it might be name of series = ts(name of series, freq = 12). Minitab does this (and estimates the trend with a straight line in the iteration.įor an additive model decompose(name of series, type = "additive").įor a multiplicative decomposition decompose(name of series, type ="multiplicative"). For example, after step 3 we could use the seasonal factors to de-seasonalize the series and then return to step 1 to estimate the trend based on the de-seasonalized series. The random component could be analyzed for such things as the mean location, or mean squared size (variance), or possibly even for whether the component is actually random or might be modeled with an ARIMA model.Ī few programs iterate through the steps 1 to 3.
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