Performing time series decomposition using the stl() function
Nearly every phenomenon can be represented as a time series.
It is therefore not surprising that time series analysis is one of most popular topics within data-science communities.
As is often the case, R provides a great tool for time-series decomposition, starting with the stl()
function provided within base R itself. This function will be the base of our recipe.
Getting ready
This recipe will mainly use the stl()
function, which implements the Loess()
method for time-series decomposition.
Using this method, we are able to separate a time series into three different parts:
- Trend component: This highlights the core trend of the phenomenon if perturbations and external influence were not ...
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