[R] arima forecasting problem

2012-07-18 Thread johnny
Hi all,

I am running into a problem using forecast with ARIMA models, hope you can
help shed some light onto this.

I am fitting several ARIMA models using the auto.arima() function onto
several time series, which are basically the residuals from a linear model
fit. There are 40 such data points in every series. Lets say for example
that auto.arima() returns a ARIMA(0,0,1) model called huc.arima

I then try to forecast the points for the next 20 time steps by doing the
following:
e_t.pred-forecast(huc.arima,h=length(time.test)) 
where time.test = 20.

However, instead of getting 20 points I am getting only the first point with
a non-zero value and 19 other points with value 0.

I run into this problem with almost every other time series I try,
regardless of the type of ARIMA model. I am thinking it must be something
with the way I define the time series data? I am simply taking a vector of
numbers and converting to a time series using the ts() function.

Any help is much appreciated, thanks!

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Re: [R] Arima forecasting

2010-03-22 Thread Matteo Bertini
 Matteo Bertini schrieb:

 Hello everyone,

 I'm doing some benchmark comparing Arima [1] and SVR on time series data.

 I'm using an out-of-sample one-step-ahead prediction from Arima using
 the fitted method [2].

 Do someone know how to have a two-steps-ahead forecast timeseries from
 Arima?


 Thanks,
 Matteo Bertini

 [1] http://robjhyndman.com/software/forecast
 [2] AirPassengers example on page 5

On Fri, Mar 19, 2010 at 5:31 PM, Stephan Kolassa stephan.kola...@gmx.de wrote:
 Hi Matteo,

 just use forecast.Arima() with h=2 to get forecasts up to 2 steps ahead. R
 will automatically use forecast.Arima() if you call forecast() with an Arima
 object.

 library(forecast)
 model - auto.arima(AirPassengers)
 forecast(model,h=2)

 HTH,
 Stephan


I can perhaps reformulate my question, suppose I have like in [2]:

air.model - Arima(AirPassengers[1:100],c(0,1,1))
air.model2 - Arima(AirPassengers,model=air.model)
outofsample - ts(fitted(air.model2)[-c(1:100)],s=1957+4/12,f=12)

As I can understand 'outofsample' is the timeseries of t+1 forecasts.

What is the equivalent code to obtain the 'outofsample' timeseries
using forecast.Arima()?

Something like this pseudo code?

for i in range(100, 200):
air.model - Arima(AirPassengers[1+i:100+i], c(0,1,1))
air.model2 - Arima(AirPassengers, model=air.model)
outofsample.append( forecast(air.model2, h=1) )

Thanks,
Matteo Bertini

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[R] Arima forecasting

2010-03-19 Thread Matteo Bertini
Hello everyone,

I'm doing some benchmark comparing Arima [1] and SVR on time series data.

I'm using an out-of-sample one-step-ahead prediction from Arima using
the fitted method [2].

Do someone know how to have a two-steps-ahead forecast timeseries from Arima?


Thanks,
Matteo Bertini

[1] http://robjhyndman.com/software/forecast
[2] AirPassengers example on page 5

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] Arima forecasting

2010-03-19 Thread Stephan Kolassa

Hi Matteo,

just use forecast.Arima() with h=2 to get forecasts up to 2 steps ahead. 
R will automatically use forecast.Arima() if you call forecast() with an 
Arima object.


library(forecast)
model - auto.arima(AirPassengers)
forecast(model,h=2)

HTH,
Stephan


Matteo Bertini schrieb:

Hello everyone,

I'm doing some benchmark comparing Arima [1] and SVR on time series data.

I'm using an out-of-sample one-step-ahead prediction from Arima using
the fitted method [2].

Do someone know how to have a two-steps-ahead forecast timeseries from Arima?


Thanks,
Matteo Bertini

[1] http://robjhyndman.com/software/forecast
[2] AirPassengers example on page 5

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and provide commented, minimal, self-contained, reproducible code.



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