Dear all, Is there a simple trick to read in data with the following format and create a Time Serie object of it? Date CountOfField2 5/10/1998 7 5/11/1998 5 5/12/1998 2 5/14/1998 1 5/15/1998 1 5/19/1998 1 5/20/1998 1 5/21/1998 1 5/24/1998 2 5/25/1998 1 5/26/1998 2 .... 2002 ... R should recognize that some dates are not available...(NA). You can define start and end date Ok, and frequency= 365 is ok...but is it possible that recognizes the gaps? Thanks a lot, Jan ________________________________________________________________________ __ Jan Verbesselt Research Associate Lab of Geomatics and Forest Engineering K.U. Leuven Vital Decosterstraat 102. B-3000 Leuven Belgium Tel:+32-16-329750 Fax: +32-16-329760 http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=janv http://gloveg.kuleuven.ac.be/ ________________________________________________________________________ __
Objects of class ts are for regualrly spaced time series only. What you have is an irregular time series. On Thu, 21 Aug 2003, Jan Verbesselt wrote:> Dear all, > > Is there a simple trick to read in data with the following format and > create a Time Serie object of it? > > Date CountOfField2 > 5/10/1998 7 > 5/11/1998 5 > 5/12/1998 2 > 5/14/1998 1 > 5/15/1998 1 > 5/19/1998 1 > 5/20/1998 1 > 5/21/1998 1 > 5/24/1998 2 > 5/25/1998 1 > 5/26/1998 2 > .... > 2002 > ...And what does `2002' mean here?> R should recognize that some dates are not available...(NA). You can > define start and end date Ok, and frequency= 365 is ok...but is it > possible that recognizes the gaps?R does what you program it to do, and you could instruct it to do this. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
You might wish to have a look at the package 'its' for handling
irregular
time-series. If your data is in a .csv file, the following would enable
you to handle the data in its irregular form.
its.format("%m/%d/%Y")
readcsvIts(filename)
- Giles
> -----Original Message-----
> From: Jan Verbesselt [mailto:Jan.Verbesselt at agr.kuleuven.ac.be]
> Sent: 21 August 2003 15:07
> To: r-help at stat.math.ethz.ch
> Subject: [R] Read date for timeserie object
> Importance: High
>
>
> Dear all,
>
> Is there a simple trick to read in data with the following format and
> create a Time Serie object of it?
>
> Date CountOfField2
> 5/10/1998 7
> 5/11/1998 5
> 5/12/1998 2
> 5/14/1998 1
> 5/15/1998 1
> 5/19/1998 1
> 5/20/1998 1
> 5/21/1998 1
> 5/24/1998 2
> 5/25/1998 1
> 5/26/1998 2
> ....
> 2002
> ...
>
> R should recognize that some dates are not available...(NA). You can
> define start and end date Ok, and frequency= 365 is ok...but is it
> possible that recognizes the gaps?
>
> Thanks a lot,
> Jan
>
>
> ______________________________________________________________
> __________
> __
> Jan Verbesselt
> Research Associate
> Lab of Geomatics and Forest Engineering K.U. Leuven
> Vital Decosterstraat 102. B-3000 Leuven Belgium
> Tel:+32-16-329750
> Fax: +32-16-329760
> http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=janv
> http://gloveg.kuleuven.ac.be/
> ______________________________________________________________
> __________
> __
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>
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