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functionfitter.fit - Function

	Package	utility
	Module	fitting
	Tool	functionfitter

Fit the data

Synopsis
fit(linear, fixed)

Arguments

linear	in	Linear or non-linear fit ?
		Allowed:	T or F
		Default:	T
fixed	in	Fixed parameters mask
		Allowed:	Boolean vector
		Default:	All parameters fitted

Returns
Vector of float or fail

Description

This function computes and returns the fit of the supplied model to the data.

If you are doing a linear fit, you don't need to set any parameters. If you are doing a non-linear fit, you should supply an initial guess via the setparameters function. Only the data for which the data mask is good (T) will be considered in the fit.

You can also hold parameters fixed in the fit via the argument fixed. You enter a vector of Boolean values (T to hold fixed, F to fit), one for each parameter. By default, all parameters are fitted for.

Example

- include 'functionfitter.g'
- ff := functionfitter()
- x := 1:10
- y := 2 + 3*x
- ff.setdata (x, y)
- ff.setfunction ('p0 + p1*x')
- print ff.fit(linear=T)
[2 3]
-
- ff.setparameters([0,3.2])            # Set function parameters
- print ff.fit(fixed=[F,T])            # Hold second parameter fixed at 3.2
[0.9 3.2]                              # parameter off a bit