Hi,
On Oct 21, 2009, at 12:31 PM, Aneeta wrote:
Greetings!
As part of my research project I am using R to study temperature data
collected by a network. Each node (observation point) records
temperature of
its surroundings throughout the day and generates a dataset. Using the
recorded datasets for the past 7 days I need to build a prediction
model for
each node that would enable it to check the observed data against the
predicted data. How can I derive an equation for temperature using the
datasets?
The following is a subset of one of the datasets:-
Time Temperature
07:00:17.369668 17.509
07:03:17.465725 17.509
07:04:17.597071 17.509
07:05:17.330544 17.509
07:10:47.838123 17.5482
07:14:16.680696 17.5874
07:16:46.67457 17.5972
07:29:16.887654 17.7442
07:29:46.705759 17.754
07:32:17.131713 17.7932
07:35:47.113953 17.8324
07:36:17.194981 17.8324
07:37:17.227013 17.852
07:38:17.809174 17.8618
07:38:48.00011 17.852
07:39:17.124362 17.8618
07:41:17.130624 17.8912
07:41:46.966421 17.901
07:43:47.524823 17.95
07:44:47.430977 17.95
07:45:16.813396 17.95
I think you/we need much more information.
Are you really trying to build a model that predicts the temperature
just given the time of day?
Given that you're in NY, I'd say 12pm in August sure feels much
different than 12pm in February, no?
Or are you trying to predict what one sensor readout would be at a
particular time given readings from other sensors at the same time?
Or ... ?
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
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