Try this: accuracy(xfor)
The model information can be obtained by: xfor$model On Wed, Sep 9, 2009 at 8:11 AM, Pedro Souto <pmmso...@gmail.com> wrote: > Hi, > I would like to create variables in R containing parameters of > summary(*Forecast > Results*). > Using the following code: > > library(forecast) > data <- AirPassengers > xets <- ets(data, model="ZZZ", damped=NULL) > xfor <- forecast(xets,h=12, level=c(80,95)) > summary(xfor) > > the output is: > > Forecast method: ETS(M,A,M) > > Model Information: > ETS(M,A,M) > > Call: > ets(y = data, model = "ZZZ", damped = NULL) > > Smoothing parameters: > alpha = 0.5901 > beta = 0.0058 > gamma = 1e-04 > > Initial states: > l = 126.9791 > b = 1.6483 > s = 0.8865 0.7928 0.9226 1.0582 1.2186 1.2371 > 1.1069 0.9818 0.985 1.0149 0.8946 0.901 > > sigma: 0.0367 > > AIC AICc BIC > 1391.174 1395.457 1438.691 > > In-sample error measures: > ME RMSE MAE MPE MAPE MASE > 1.1644124 10.9944227 8.0668541 0.2032631 2.9361762 0.3119416 > > Forecasts: > Point Forecast Lo 80 Hi 80 Lo 95 Hi 95 > Jan 1961 444.9979 424.0692 465.9267 412.9901 477.0057 > Feb 1961 444.1187 419.8324 468.4049 406.9760 481.2613 > Mar 1961 506.4125 475.2920 537.5330 458.8178 554.0072 > Apr 1961 493.9890 460.5937 527.3844 442.9153 545.0628 > > How can I associate to a variable for example the "In sample error > measures" > parameters? > > Thanks, > Pedro > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
