[R] Class for time series

[arun]

Hi,
library(xts)

xts(dat1[,-1:2],order.by=as.POSIXct(paste(dat1[,1],dat1[,2],sep=" "),format="%Y-%m-%d %H:%M:%S"))
#Error in .subset(x, j) : only 0's may be mixed with negative subscripts


xts(dat1[,3:7],order.by=as.POSIXct(paste(dat1[,1],dat1[,2],sep=" "),format="%Y-%m-%d %H:%M:%S"))
#                    Profondeur Température Salinité Turbidité Chloration
#2012-07-06 00:00:22     -0.145      22.468    0.011     0.000          0
#2012-07-06 00:02:21     -0.143      22.475    0.011     0.000          0
#2012-07-06 01:17:21     -0.132      22.456    0.011     0.323          0
#2012-07-06 08:47:22     -0.144      22.469    0.011     0.000          0
#2012-07-06 09:02:21     -0.147      22.476    0.011     0.000          0
#2012-07-06 09:17:21     -0.139      22.498    0.011    19.323          0
#2012-07-06 09:32:21     -0.136      22.540    0.011    19.343          0
#2012-07-06 09:47:21     -0.141      22.510    0.011    19.321          0
#2012-07-06 10:02:21     -0.139      22.372    0.011    19.280          0
A.K.







----- Original Message -----
From: Hasan Diwan <hasan.diwan at gmail.com>
To: Poizot Emmanuel <emmanuel.poizot at cnam.fr>
Cc: r-help at r-project.org
Sent: Thursday, October 4, 2012 3:07 AM
Subject: Re: [R] Class for time series

Mr. Emmanuel,

On 4 October 2012 02:43, Poizot Emmanuel <emmanuel.poizot at 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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