Hi,
I am attaching a plot where you can see there are a few "jumps" (plots 1, 4,
5 and 6), due to incidents with the measuring sensors (basically someone
touching the sensor). I need to revert those changes to have a plot without
unreal measurements, so make those fragments go back to its original pattern
before the jump.
I have used the function cpt.mean {changepoints} so I can identify the jumps
and the mean of each segment. Now I don't know how to automatically revert
the jumps, probably subtracting one higher fragment mean by the mean of the
previous one. Does it make sense?
Example of data set
TIMESTAMP variable diameter
38 2012-06-21 13:45:00 r4_3 NA
86 2012-06-21 14:00:00 r4_3 NA
134 2012-06-21 14:15:00 r4_3 246
182 2012-06-21 14:30:00 r4_3 251
230 2012-06-21 14:45:00 r4_3 250
278 2012-06-21 15:00:00 r4_3 255
326 2012-06-21 15:15:00 r4_3 5987
374 2012-06-21 15:30:00 r4_3 5991
422 2012-06-21 15:45:00 r4_3 5994
470 2012-06-21 16:00:00 r4_3 5999
As an example, this is the current diameter data:
NA-NA-246-251-250-255-5987-5991-5994-599
I would need this series without the big jump, avoiding the jump and
following the increase/decrease pattern, for example:
NA-NA-246-251-250-255-255-259-262-267
Any other idea is welcome.
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