One comment first: Sending a request to the list *once* is sufficient!
As for the question: A slight modification of Jim's solution...
> > x <- read.table(tc <- textConnection(" DateValue
> + 01/03/05 -0.008471364
> + 01/04/05 -0.008153802
> + 01/05/05 -0.000780031
> + 01
Maybe ?window
--- Megh Dal <[EMAIL PROTECTED]> wrote:
> Hi all,
> I have a time series like that :
> DateValue
> 01/03/05 -0.008471364
> 01/04/05 -0.008153802
> 01/05/05 -0.000780031
> 01/06/05 -0.000130064
> 01/07/05 -0.000650576
> 01/08/05 -0.000130166
> 01/10
> x <- read.table(tc <- textConnection(" DateValue
+ 01/03/05 -0.008471364
+ 01/04/05 -0.008153802
+ 01/05/05 -0.000780031
+ 01/06/05 -0.000130064
+ 01/07/05 -0.000650576
+ 01/08/05 -0.000130166
+ 01/10/05 -0.004174282
+ 01/11/05 0.01027384
+ 01/12/05 -0.006099558
+ 01/13/0
Hi all,
I have a time series like that :
DateValue
01/03/05 -0.008471364
01/04/05 -0.008153802
01/05/05 -0.000780031
01/06/05 -0.000130064
01/07/05 -0.000650576
01/08/05 -0.000130166
01/10/05 -0.004174282
01/11/05 0.01027384
01/12/05 -0.006099558
01/13/05 -0.0
Hi all,
I have a time series like that :
DateValue
01/03/05 -0.008471364
01/04/05 -0.008153802
01/05/05 -0.000780031
01/06/05 -0.000130064
01/07/05 -0.000650576
01/08/05 -0.000130166
01/10/05 -0.004174282
01/11/05 0.01027384
01/12/05 -0.006099558
01/13/05 -0.009811054
01/
Hi all,
I have a time series like that :
DateValue
01/03/05 -0.008471364
01/04/05 -0.008153802
01/05/05 -0.000780031
01/06/05 -0.000130064
01/07/05 -0.000650576
01/08/05 -0.000130166
01/10/05 -0.004174282
01/11/05 0.01027384
01/12/05 -0.006099558
01/13/05 -0.0
Hi all,
I have a time series like that :
DateValue
01/03/05 -0.008471364
01/04/05 -0.008153802
01/05/05 -0.000780031
01/06/05 -0.000130064
01/07/05 -0.000650576
01/08/05 -0.000130166
01/10/05 -0.004174282
01/11/05 0.01027384
01/12/05 -0.006099558
01/13/05 -0.0
Hi all,
I have a time series like that :
DateValue
01/03/05 -0.008471364
01/04/05 -0.008153802
01/05/05 -0.000780031
01/06/05 -0.000130064
01/07/05 -0.000650576
01/08/05 -0.000130166
01/10/05 -0.004174282
01/11/05 0.01027384
01/12/05 -0.006099558
01/13/05 -0.0
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