There are a variety of reasons that a question might go unanswered for
over a day on R-help. The question may be so technical or narrow that
only one or two people may be equipped to answer it. Or it may look
like homework. Or it may lack sufficient detail one which to base an
answer. Or it may sound like a request for statistical consultation
more than a request for help with the correct use of R (which is the
specified purpose of the list.)
I am not a statistician or an r-expert and my experience with time
series analysis is over 20 years ago, but my impression is that a
mixture of some of those latter reasons may have been the reason for
this identical question being unanswered yesterday. You have not
specified any detail about the units of the serially correlated
variable. You have not offered any output text. You have not described
the research question. And there is no real R content.
I can tell you that that time series analysis is well described in
"Modern Applied Statistics in S" which some people use as their
beginning R text. If time series was not in your intorductory text
then maybe you should get one that handles it.
As a complete guess I would speculate that seasonality might explain a
series with significant correlations at lags of 1, 7, 8, and 9 but who
knows? You have not given your audience much to work with. And you may
be outside the boundaries of the list's purpose for existence.
http://www.r-project.org/posting-guide.html
http://www.catb.org/~esr/faqs/smart-questions.html
--
Regards;
David Winsemius, MD
On Nov 21, 2008, at 11:45 AM, Sara Mouro wrote:
Hello.
I have one Model (M3) fitted using the lme package, and I have
checked the correlation structure of within-group errors using
plot(ACF (M3,maxLag=10),alpha=0.05)
But now I am not sure how to interpret this plot for the empirical
autocorrelation function.
The problem is that I am used to see/interpret diagrams in which all
the autocorrelation Lags, except lag-1, are inside the confidence
envelopes, or those plots where only Lags 1 and 2 are outside those
envelopes.
But how should I interpret my ACF plot, where Lags 1, 7, 8 and 9, are
those outside those envelopes?
Is there any correlation structure?
Which one might that be? AR1()?
Also, I have used the plot of the empirical ACF of the normalized
residuals, but it gives exactly the same results.
Could you please help me?
Best regards
Sara Mouro
Sara Maltez Mouro
Centro de Ecologia Funcional
Departamento de Botânica
Universidade de Coimbra
[EMAIL PROTECTED]
www.uc.pt/ecology/saramaltezmouro
Sara Maltez Mouro
Centro de Ecologia Funcional
Departamento de Botânica
Universidade de Coimbra
[EMAIL PROTECTED]
www.uc.pt/ecology/saramaltezmouro
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