4.2.2.21 Fitting with Piecewise FunctionsFitting-Piecewise
Summary
We will show you how to define piecewise fitting function in this tutorial.
Minimum Origin Version Required: Origin 8.0 SR6
What you will learn
This tutorial will show you how to:
- Define piecewise (conditional) fitting functions.
Example and Steps
We can start this tutorial by importing the sample \Samples\Curve Fitting\Exponential Decay.dat data file. Highlight column D and plot a Scatter Graph. You can fit this curve using built-in functions under Growth/Sigmoidal category, however, in this tutorial, we will separate the curve into two parts by a piecewise function.
So the equation will be:
Define the Function
Press F9 to open the Fitting Function Organizer and define a function like:
Function Name:
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piecewise
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Function Type:
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User-Defined
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Independent Variables:
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x
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Dependent Variables:
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y
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Parameter Names:
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xc, a, b, t1
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Function Form:
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Origin C
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Function:
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Click the button on the right of the Function edit box and define the fitting function in Code Builder using:
void _nlsfpiecewise(
// Fit Parameter(s):
double xc, double a, double b, double t1,
// Independent Variable(s):
double x,
// Dependent Variable(s):
double& y)
{
// Beginning of editable part
// Divide the curve by if condition.
if(x<xc) {
y = a+b*x+exp(-(x-xc)/t1);
} else {
y = a+b*x;
}
// End of editable part
}
Fit the Curve
Press Ctrl + Y to bring up NLFit dialog with the graph window active. Select the piecewise function we defined and initialize the parameter values:
Click Fit button to generate the results:
xc:
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0.24
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a:
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36.76585
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b:
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-24.62876
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t1:
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0.04961
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Note that this function is sensitive to xc and t1, different initial values could generate different results.
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