Dear R Helpers,
Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend).
When testing out the STL method is says => Only univariate timeseries
are allowed, but the current Timeserie I'm using is univariate!
stl() doesn't think so. What is the output of dim(Timeserie) or ncol(Timeserie) ?
=> The
problem is probably that this time series has to much noise so that it consequently gives the following error.
If the error message is correct, that's pretty unlikely.
Have you run traceback() after the error message to find out where the problem occurred?
Error in stl(Timeserie) : only univariate series are allowed. I also import the data as an ts object.
How, exactly, did you import the data and convert to time series?
A solution would be to eliminate the noise (sensor and atmospheric) with
a filter (kalman/ holt-Winters/TsSmooth? Or FFT.) or the BISE method in
R?
This might be good practice, but doesn't sound like the solution to the problem.
Is the BISE (Best index slope extraction) function already programmed in R I couldn't find it?
Never heard of it.
Jason -- Indigo Industrial Controls Ltd. 64-21-343-545 [EMAIL PROTECTED]
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