View source: R/ts_trend_season.R
ts_trend_season | R Documentation |
Estimate a trend and season model from a ts_data
object.
ts_trend_season(ts, trend = NULL, season = NULL)
ts_ts(ts, trend = NULL, season = NULL)
ts |
|
trend |
numeric or logical: if |
season |
numeric or logical |
Returns an extended ts_data
object with the following list of elements:
t
the time points
s
the season for the time points
xt
the time series values
trend
the fitted trend values
trend.coeff
the trend coefficients
trend.linear
the trend type, if NA
then it is unknown
season
the fitted season values
season.t
the fitted season values for the time series
trend.season
the fitted values for trend and season
trend.linear
the trend type, if NA
then it is unknown
var
the variance of the residuals
r.square
the R^2
of the final model
ts <- ts_data(12, trend.coeff= c(sample(0:10, 1), sample(1+(1:10)/20, 1)))
ts_trend_season(ts)
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