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Determine avarage steady state of multiple data sets

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Nick am 9 Dez. 2014
Bearbeitet: dpb am 10 Dez. 2014
I have sets of data which when plotted look like this:
How can determine the "avarage" value these 3 data sets flatten out on? In other words, the average "steady state" of these three data sets.
By eyeballing it I can estimate that the average steady state is 4.5N but I'm hoping that there is a nice matlab toolbox (I have them all installed) or another method.
Note: This is Force vs Time.
  2 Kommentare
dpb am 9 Dez. 2014
Bearbeitet: dpb am 10 Dez. 2014
I'd probably start by looking for the increase above the end value of some percentage and then try some heuristic tests of fitting a linear slope and look for departure of residuals to begin.
If it weren't for the tendency to have a rise at the end might work to fit a breakpoint model to the plateau and discover the change point as illustrated in a previous response. Would work pretty well for the orange I think; not so sure w/o trying on the blue but still might be good starting point...
I showed piecewise regression in second answer to above query...
Might be simpler to see if were to normalize the x axes to align the peaks as the peak width seems to be pretty consistent duration.
dpb am 9 Dez. 2014
Can you attach the dataset?

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