Help

How do you propose to forecast?  If it were me, I'd first worry about 
what to use to model, then the forecasting.  I'd start with normal 
probability plots to make sure I didn't have any outliers, need a 
transformation, etc.  If all looked plausibly normally distributed, I 
might first fit a linear regression model using "lm", then do "acf" and 
"pacf" of the residuals, select a time series model for the residuals, 
and fit the full model using "arima".  The output from "arima" is a 
list, one of whose components is "residuals", which are the one-step 
ahead forecast errors.  To compute the one-step ahead predictions, I 
believe you just subtract those from the observations.  However, there 
is also a "predict" function that has an "arima" method, and I would use 
that to spot-check the numbers to make sure I understood.

	  Do you have Venables and Ripley (2000) Modern Applied Statistics with 
S, 4th ed. (Springer)?  If you aren't already familiar with the chapter 
in that book on time series, I suggest you start there.

	  If you'd like further help from this group, I suggest you first 
PLEASE do read the posting guide! 
"www.R-project.org/posting-guide.html":  Anectotal evidence suggests 
that questions that follow more closely the recommendations in the 
posting guide tend to get more useful answers quicker.

	  hope this helps.
	  spencer graves

Hi R-Users,

 

I apologize if it is too simple question for all. I have a multivariate
dataset having 7 variables as independent and 1 dependent variable. 248
data points are there. I want to do out sample forecast first
considering 156 points. So I'll have to start from 157th point and
calculate the 157th y_hat value. In this way it will go to 248th data
point. Can any one tell me how I can do with for loop. Thanks a lot in
advance.

 

 

Thanks & Regards,

SUMANTA BASAK.


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Spencer Graves, PhD
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