[R] Averaging uneven measurements by time with uneven numbers of measurements

[Clint Bowman]

I'd be tempted to do a robust fit (loess?) to the data with a 
relatively small span (I'm assuming that there are errors in the 
measurements and some degree of smoothing is acceptable) then 
predict the fit at a regular interval (e.g., every 30 minutes).

-- 
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On Thu, 5 May 2011, Schatzi wrote:

> I have a new device that takes measurements anywhere from every second, to
> every 15 minutes (depending on changes). The matrix has a date, time and Y
> column (Y is the measurement). For three days it is 25,000 rows. How do I
> average the measurements by every 30 minutes so my matrix is 48 rows per
> day? I have been working on this and cannot figure out a simple method. Any
> ideas? Thank you.
>
> -----
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