decompositionplot: Plot a Time Series Decomposition
In iNZightTS: Time Series for 'iNZight'
Description
Usage
Arguments
Details
Value
References
See Also
View source: R/decomposition.R
Description
Decomposes a time series into trend, seasonal and residual components
using loess.
Usage
1
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.
Value
The original iNZightTS object with an item decompVars
appended, containing results from the decomposition.
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
iNZightTS documentation built on Feb. 1, 2022, 1:08 a.m.
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Description Usage Arguments Details Value References See Also
View source: R/decomposition.R
Description
Decomposes a time series into trend, seasonal and residual components
using loess.
Usage
1 |
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.
Value
The original iNZightTS object with an item decompVars
appended, containing results from the decomposition.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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