Dear Jose, good morning,

First of all, let me thank you for your extremely valuable help. Now I have
a question for you:

I have a table containing two fields, the first one is date and the second
one is number of transits of vessels. This table contains daily
observations for the past 5 years.

The date field has the following format: YYYY-MM-DD

The number of transits field is a regular numeric field.

How can I do to convert this table into a time series object?

Best regards,

Paul




2013/9/11 Jose Iparraguirre <Jose.Iparraguirre@ageuk.org.uk>

> Hi Paul,
>
> There are different packages in R to fit an ARIMA model. I would use the
> forecast package.
> In your case, perhaps you would want to explore SARIMA models to include
> seasonal components?
> Anyhow, the first port of call could be the auto.arima() function to
> select the best fitting representation according to AIC, AICc or BIC -but
> explore other representations as well.
> To fit the models use the function Arima (note the capital "A"). The
> documentation in the package is very clear and comprehensive; the authors
> (Rob J Hyndman and George Athanasopoulos) published a free on-line book
> which will also help you: http://otexts.com/fpp/.
> Hope this helps,
>
> José
>
>
> Prof. José Iparraguirre
> Chief Economist
> Age UK
>
>
>
> -----Original Message-----
> From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org]
> On Behalf Of Paul Bernal
> Sent: 10 September 2013 22:54
> To: r-help@r-project.org
> Subject: [R] Fitting Arima Model to Daily Time Series
>
> Hello everyone,
>
> Hope everyone is doing great. I would like to know how to use the arima
> function in R to fit arima or arma models to daily data, that is, with
> period = 365, this taking into account the fact that I have 5 years worth
> of daily data (so 365 * 5 = my number of observations).
>
> All I want is a very general line of code of I I would do to fit the arima
> model.
>
> Any help will be greatly appreciated,
>
> Have a wonderful day,
>
> Paul
>
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