Mr. Emmanuel,
On 4 October 2012 02:43, Poizot Emmanuel <emmanuel.poi...@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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