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Poizot Emmanuel

2012-Oct-04 06:43 UTC

[R] Class for time series

Dear all,

I have a time serie dataset such as the following with data acquired 
every 15 minutes:

Date    Heure Profondeur Temp?rature Salinit? Turbidit? 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

-- 
Cordialement

------------------------------------------------
Emmanuel Poizot
Cnam/Intechmer
B.P. 324
50103 Cherbourg Cedex

Web : http://www.geoceano.fr
Phone (Direct) : (00 33)(0)233887342 ou 41
Fax : (00 33)(0)233887339
------------------------------------------------

Hasan Diwan

2012-Oct-04 07:07 UTC

head link

[R] Class for time series

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
-- 
Sent from my mobile device
Envoyait de mon portable

	[[alternative HTML version deleted]]

Achim Zeileis

2012-Oct-04 07:09 UTC

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[R] Class for time series

On Thu, 4 Oct 2012, Poizot Emmanuel wrote:
> Dear all,
>
> I have a time serie dataset such as the following with data acquired every
15
> minutes:
>
> Date    Heure Profondeur Temp?rature Salinit? Turbidit? 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
See the "Time Series" task view for guidance:
http://CRAN.R-project.org/view=TimeSeries
> -- 
> Cordialement
>
> ------------------------------------------------
> Emmanuel Poizot
> Cnam/Intechmer
> B.P. 324
> 50103 Cherbourg Cedex
>
> Web : http://www.geoceano.fr
> Phone (Direct) : (00 33)(0)233887342 ou 41
> Fax : (00 33)(0)233887339
> ------------------------------------------------
>
>

Gabor Grothendieck

2012-Oct-04 11:41 UTC

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[R] Class for time series

On Thu, Oct 4, 2012 at 3:07 AM, Hasan Diwan <hasan.diwan at gmail.com>
wrote:> 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 Temp?rature Salinit? Turbidit? 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])))
>
If you are using xts and reading in the data from an external file
then note that xts loads the zoo package and read.zoo can be used to
do the actually reading:

Lines <- "Date    Heure Profondeur Temp?rature Salinit? Turbidit?
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"

library(xts) # also pulls in zoo

# z <- read.zoo("myfile.dat", header = TRUE, index = 1:2, tz =
"")
z <- read.zoo(text = Lines, header = TRUE, index = 1:2, tz = "")

x <- as.xts(z)

Here index = 1:2 says that the date/time index is in the first two
columns and tz = "" says to interpret it as POSIXct with the indicated
time zone.  tz = "GMT" is another possibility.

For more info on read.zoo see ?read.zoo .  Also there is a document
entirely devoted to read.zoo examples obtained by issuing:
vignette("zoo-read") .

-- 
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com

arun

2012-Oct-04 12:48 UTC

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[R] Class for time series

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 Temp?rature Salinit? Turbidit? 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 Temp?rature Salinit? Turbidit? 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
-- 
Sent from my mobile device
Envoyait de mon portable

??? [[alternative HTML version deleted]]


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