time series analysis for a time series without a regular frequency
The zoo package supports irregularly spaced time series and if your create a zoo object z from your data then tt <- as.ts(z) will give you a ts object, tt. Since a ts object must be regularly spaced this will add NAs to ensure that it is.
On Fri, Jan 8, 2010 at 3:05 PM, Erin Hestir <elhestir at ucdavis.edu> wrote:
Hello, I am trying to conduct a time series analysis on historic hydrologic data, but I cannot coerce it into class ts because it does not have regular sampling intervals (some years have 20 samples, other have 8). Specifically I am trying to perform a CUSUM or or other step change detection, but the packages all seem to require data as ts. Is there a way to coerce my data into ts while maintaining all of my samples? Or alternatively, can someone recommend a package that does not require data as ts? Thanks! -- Erin Hestir Center for Spatial Technology and Remote Sensing University of California Davis ? ? ? ?[[alternative HTML version deleted]]
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