Experimntal data analysis  slopes and areas

09292014, 01:09 PM
Post: #1




Experimntal data analysis  slopes and areas
When experimental data is collected via SS410, the net results are exported to either Stats 1var or 2var, then analysed.
While fitting a linear or nonlinear model to data, then differentiating or integrating a model works on some cases, there are many cases that fitting global function is not an option (e.g. think of interrupted, piecewise, distance vs. time data). Is there a way of analyzing raw experimental (or nearly raw  as in splines fit for instance) data sets somehow? Failing this, how do I easily divide the recorded data into manageable chunks that could be analysed in a piecewise fashion (e.g. by fitting separate curves to them and calculating what's needed  typically slopes and areas under the curve). Cheers! 

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