> This is definitely a statistics question still so not on topic here... as
changing the data is exactly the kind of thing that can have this effect.

I'm sorry.
I disagree.
This is a question about reproducible code.
So, I don't see why it should be considered off topic.

> >The function returned a (2,1,0) model with drift. However when I used the
> >same function it returns a (1,1,0) model. There were no obvious
differences
> >in the code. The only thing passed to it was the data. How might this
> >happen?

Either a different version of R, a difference in the forecast package, a
difference in one of it's imports (which there are many), or different
input.
If you're sure the input is the same, then it must be one of the other
reasons.

I suggest reading the documentation for the relevant forecast package
functions.

The auto.arima() function alone has many arguments.
Changing their values may produce a more desirable model.

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

Reply via email to