dshw(y, period1, period2, h=2*max(period1,period2),
alpha=NULL, beta=NULL, gamma=NULL, omega=NULL, phi=NULL,
lambda=NULL, armethod=TRUE)
forecast
".
The function summary
is used to obtain and print a summary of the
results, while the function plot
produces a plot of the forecasts and prediction intervals.
The generic accessor functions fitted.values
and residuals
extract useful features of
the value returned by meanf
.
An object of class "forecast"
is a list containing at least the following elements:object
itself or the time series used to create the model stored as object
).period1=48
for the daily period and period2=336
for the weekly period. The smoothing parameter notation used here is different from that in Taylor (2003); instead it matches that used in Hyndman et al (2008) and that used for the ets
function.HoltWinters
, ets
.fcast <- dshw(taylor,48,336)
plot(fcast)
Run the code above in your browser using DataCamp Workspace