Mr. Emmanuel,

On 4 October 2012 02:43, Poizot Emmanuel <emmanuel.poizot@cnam.fr> wrote:

> Dear all,
>
> I have a time serie dataset such as the following with data acquired every
> 15 minutes:
>
> Date    Heure Profondeur Température Salinité Turbidité Chloration
> 1 2012-07-06 08:47:22     -0.144      22.469    0.011 0.000          0
> 2 2012-07-06 09:02:21     -0.147      22.476    0.011 0.000          0
> 3 2012-07-06 09:17:21     -0.139      22.498    0.011 19.323          0
> 4 2012-07-06 09:32:21     -0.136      22.540    0.011 19.343          0
> 5 2012-07-06 09:47:21     -0.141      22.510    0.011 19.321          0
> 6 2012-07-06 10:02:21     -0.139      22.372    0.011 19.280          0
>
> I wonder what is the best class to use to manage such time series


Use xts whenever dealing with timeseries, to construct:
xts(data.in[,-1:2], order.by=as.POSIXct(paste(data.in[,1:2])))

Also, when you post help requests, use dput on your data set. I'm assuming
it's a data.frame, but I'd be able to actually test my code if there were
dput output in your question. -- H
-- 
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Envoyait de mon portable

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