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iNZightTS (version 1.5.9)

decompositionplot: Plot a Time Series Decomposition

Description

Decomposes a time series into trend, seasonal and residual components using loess.

Usage

decompositionplot(...)

Value

The original iNZightTS object with an item decompVars

appended, containing results from the decomposition.

Arguments

...

additional arguments, ignored

Details

If the frequency is greater than 1, the components are found using the stl function with s.window set to TRUE (effectively replacing smoothing by taking the mean). If the frequency is 1, the trend component is found directly by using loess and the residuals are the difference between trend and actual values. The trend, seasonal and residual components are plotted on the same scale allowing for easy visual analysis.

References

R. B. Cleveland, W. S. Cleveland, J.E. McRae, and I. Terpenning (1990) STL: A Seasonal-Trend Decomposition Procedure Based on Loess. Journal of Official Statistics, 6, 3iV73.

See Also

stl, loess, iNZightTS