On Thu, Oct 4, 2012 at 3:07 AM, Hasan Diwan <hasan.di...@gmail.com> wrote:
> 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])))
>
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 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"
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") .
--
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GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com
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