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).
--
Clint Bowman INTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600 FAX: (360) 407-7534
Olympia, WA 98504-7600
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Parcels: 300 Desmond Drive, Lacey, WA 98503-1274
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.
-----
In theory, practice and theory are the same. In practice, they are not - Albert
Einstein
--
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