R help - Oct 2011 - Merge Data by time stamps

Dear all,
I have some device measurements and the time stamps I get from it have the below
format:

MyStruct$TimeStamps[1,]
> [1] 2011.000   10.000    6.000   16.000   23.000   30.539
I can convert them easily with ISOdate() to a number and do the calculations I
need.

One of my problems is that I want to gather my measurements to piles of duration
(let's say) 5 minutes.
Afterwards I will apply a function to these piles.
As the device is not super-precise please find below the time needed for one
operation to complete (in seconds)
.....

1.10
1.90
1.34
1.23
1.56
1.22
1.34
....

as you understand I can not say that 5 minutes measurements are specific to X
consecutive measurements but differ. How I can ask from R to do the summation
and whenever there is a 5 minute data set to split it so to apply it into a
function?

I would like to thank you in advance for your help

B.R
Alex

	[[alternative HTML version deleted]]

On Oct 10, 2011, at 1:28 PM, Alaios wrote:
> Dear all,
> I have some device measurements and the time stamps I get from it  
> have the below format:
>
> MyStruct$TimeStamps[1,]
>> [1] 2011.000   10.000    6.000   16.000   23.000   30.539
>
> I can convert them easily with ISOdate() to a number and do the  
> calculations I need.
>
> One of my problems is that I want to gather my measurements to piles  
> of duration (let's say) 5 minutes.
> Afterwards I will apply a function to these piles.
> As the device is not super-precise please find below the time needed  
> for one operation to complete (in seconds)
> .....
>
> 1.10
> 1.90
> 1.34
> 1.23
> 1.56
> 1.22
> 1.34
> ....
Assuming I understand your presentation and lacking  R-coded examples  
and desired output on which to test:

?cumsum
?cut
>
> as you understand I can not say that 5 minutes measurements are  
> specific to X consecutive measurements but differ. How I can ask  
> from R to do the summation and whenever there is a 5 minute data set  
> to split it so to apply it into a function?
>
> I would like to thank you in advance for your help
-- 

David Winsemius, MD
West Hartford, CT