Hi Michael,

I think you're right, I should be looking for "predict" instead of 
"forecast". I'm still fairly new to R so often don't know what to look 
for. As a simplified example (let's neglect the fourier terms):

fit = auto.arima(data)

but now I have data.latest, so I want to use the ARIMA terms from fit 
but with data.latest

I'll look into predicting, thank you


On 1/20/2012 1:35 AM, Michael Weylandt [via R] wrote:
> Can you clarify what exactly you mean by this?
>
> "[N]ow [I] would like to use the last X values to predict tomorrow's
> weather. I'm at a loss. All the functions I've come across (like
> forecast()) use the series and then forecast from the end point."
>
> It sounds like a prediction to me.
>
> Anyways, I think most methods do allow "new" values for the
> independent variables: e.g., the newdata argument to most predict()
> methods and the xreg arguments to forecast::forecast(). Do you know
> which method you are using?
>
> Hope this helps,
>
> Michael
>
> On Wed, Jan 18, 2012 at 4:17 PM, nhomeier <[hidden email] 
> </user/SendEmail.jtp?type=node&node=4312525&i=0>> wrote:
>
> > Couldn't find this in the archives. I'm fitting a series of historical
> > weather-related data, but would like to use the latest values to 
> forecast.
> > So let's say that I'm using 1970-2000 to fit a model (using fourier 
> terms
> > and arima/auto.arima), but now would like to use the last X values to
> > predict tomorrow's weather. I'm at a loss. All the functions I've come
> > across (like forecast()) use the series and then forecast from the end
> > point.
> >
> > Do I need to decompose the fit and write it out the long way? For 
> example,
> > Tomorrow = fit$coef[1]*Yesterday + fit$coef[2]*BeforeYesterday + etc
> >
> > or is there a function that I'm not finding?
> >
> > Thank you,
> > Nicole
> >
> > --
> > View this message in context: 
> http://r.789695.n4.nabble.com/forecasting-a-time-series-tp4308147p4308147.html
> > Sent from the R help mailing list archive at Nabble.com.
> >
> > ______________________________________________
> > [hidden email] </user/SendEmail.jtp?type=node&node=4312525&i=1> 
> 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.
>
> ______________________________________________
> [hidden email] </user/SendEmail.jtp?type=node&node=4312525&i=2> 
> 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.
>
>
> ------------------------------------------------------------------------
> If you reply to this email, your message will be added to the 
> discussion below:
> http://r.789695.n4.nabble.com/forecasting-a-time-series-tp4308147p4312525.html 
>
> To unsubscribe from forecasting a time series, click here 
> <http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=4308147&code=bmhvbWVpZXJAYWVyLmNvbXw0MzA4MTQ3fDE0Mzc1NzAwMzQ=>.
> NAML 
> <http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.InstantMailNamespace&breadcrumbs=instant+emails%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> 
>


-- 
____________________________________
Nicole L. Homeier, PhD
Staff Scientist
Atmospheric&  Environmental Research
131 Hartwell Avenue
Lexington, MA
02421-3126
781 761-2387



--
View this message in context: http://r.789695.n4.nabble.com/forecasting-a-time-series-tp4308147p4313351.html
Sent from the R help mailing list archive at Nabble.com.
	[[alternative HTML version deleted]]

