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:[EMAIL PROTECTED]
> Sent: 21 August 2003 15:07
> To: [EMAIL PROTECTED]
> 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/
> ______________________________________________________________
> __________
> __
>
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