Dear Mr. Brian,

What is the ISO 8601 standard for dates?

Excuse my ignorance and best regards,

Paul
 El 09/09/2013 16:41, "Prof Brian Ripley" <rip...@stats.ox.ac.uk> escribió:

> On 09/09/2013 20:36, Paul Bernal wrote:
>
>> Hello everyone,
>>
>> I was trying to fit an arima model to a daily historical data, but, for
>> some reason, havent been able to.
>>
>> I basically have 212 observations (from 12/1/2012 to 06/30/2013)
>> containing
>>
>
> Those dates are not in a standard format: ISO 8601 is preferred.
>
>  the number of transits for a particular vessel.
>>
>
> Which seems to be less than a year and you are trying to fit a seasonally
> differenced model with period 365.  So I guess there are no pairs of
> observations a year apart.
>
> This is not really an R issue: you need to get basic advice on time-series
> modelling.
>
>  The following messages are produced by R:
>>
>> dailytrans.fit<-arima(**dailytrans$transits, order=c(0,1,2),
>> seasonal=list(order=c(0,1,2), period=365), include.mean=FALSE)
>> Error in arima(dailytrans$transits, order = c(0, 1, 2), seasonal =
>> list(order = c(0,  :
>>    too few non-missing observations
>>
>>> dailytrans.fit<-arima(**dailytrans$transits, order=c(0,1,2),
>>>
>> seasonal=list(order=c(0,1,2), period=200), include.mean=FALSE)
>> Error in makeARIMA(trarma[[1]], trarma[[2]], Delta, kappa) :
>>    maximum supported lag is 350
>>
>> Then I tried the auto.arima function but the following happened:
>>
>
> Which is not part of R.
>
>  fit<-auto.arima(dailytrans$**transits)
>>
>> Warning in if (class(fit) != "try-error") offset <- -2 * fit$loglik -
>> length(x) *  :
>>
>>    the condition has length > 1 and only the first element will be used
>>
>> If anyone could give me some guidance I will really truly appreciate it,
>>
>>
>> Best regards,
>>
>>
>> Paul
>>
>
>
>
> --
> Brian D. Ripley,                  rip...@stats.ox.ac.uk
> Professor of Applied Statistics,  
> http://www.stats.ox.ac.uk/~**ripley/<http://www.stats.ox.ac.uk/~ripley/>
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>
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