Description Usage Arguments Value Note Author(s) References See Also Examples
Retrieves the raw, seasonal, trend, remainder, or time components from an stl2 object. The methods seasonal.stl, ... also exist as a convenience for extracting components from R's stl().
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | getraw(object)
## S3 method for class 'stl2'
seasonal(object)
## S3 method for class 'stl2'
trend(object)
## S3 method for class 'stl2'
remainder(object)
## S3 method for class 'stl2'
fitted(object, ...)
## S3 method for class 'stl2'
time(x, ...)
fc(object, fcnum=1)
## S3 method for class 'stl'
seasonal(object)
## S3 method for class 'stl'
trend(object)
## S3 method for class 'stl'
remainder(object)
## S3 method for class 'stl'
fitted(object, ...)
## S3 method for class 'stl'
time(x, ...)
|
x, object |
object of class |
fcnum |
number of post-trend smoothing frequency component. |
... |
Returns a vector of either the getraw time series, the seasonal, trend, or remainder components, or the time values of the time series. If times are requested but were not supplied in the initial stl2 call, the 1:n vector is returned, where n is the number of data points. The fitted method returns the sum of the seasonal and trend.
The fitted and predict methods are equivalent. For objects of class "stl2", these functions return the sum of all components but the remainder, including post-trend smoothing components. Note also that the trend method for objects of class "stl2" only returns the trend component from the STL iterations, even when post-trend smoothing is done.
Ryan Hafen
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, 3–73.
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