> 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.