Description Usage Arguments Value Examples
simpledecomp
decomposes a vector into trend, season and irregular component
by linear regression approach
1 | simpledecomp(y, trend = 0, season = 0, Plot = FALSE)
|
y |
the series, a vector or a time series |
trend |
order of trend polynomial |
season |
period of seasonal component |
Plot |
logical, should a plot be produced? |
out: (n,3) matrix
1. column |
smooth component |
2. column |
seasonal component |
3. column |
irregular component |
1 2 | data(GDP)
out <- simpledecomp(GDP,trend=3,season=4,Plot=FALSE)
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