Linfit(3) User Contributed Perl Documentation Linfit(3)NAME
PDL::Fit::Linfit - routines for fitting data with linear combinations
of functions.
DESCRIPTION
This module contains routines to perform general curve-fits to a set
(linear combination) of specified functions.
Given a set of Data:
(y0, y1, y2, y3, y4, y5, ...ynoPoints-1)
The fit routine tries to model y as:
y' = beta0*x0 + beta1*x1 + ... beta_noCoefs*x_noCoefs
Where x0, x1, ... x_noCoefs, is a set of functions (curves) that the
are combined linearly using the beta coefs to yield an approximation of
the input data.
The Sum-Sq error is reduced to a minimum in this curve fit.
Inputs:
$data
This is your data you are trying to fit. Size=n
$functions
2D array. size (n, noCoefs). Row 0 is the evaluation of function x0 at
all the points in y. Row 1 is the evaluation of of function x1 at all
the points in y, ... etc.
Example of $functions array Structure:
$data is a set of 10 points that we are trying to model using the
linear combination of 3 functions.
$functions = ( [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], # Constant Term
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], # Linear Slope Term
[ 0, 2, 4, 9, 16, 25, 36, 49, 64, 81] # quadradic term
)
SYNOPSIS
$yfit = linfit1d $data, $funcs
FUNCTIONS
linfit1d
1D Fit linear combination of supplied functions to data using min chi^2
(least squares).
Usage: ($yfit, [$coeffs]) = linfit1d [$xdata], $data, $fitFuncs, [Options...]
Signature: (xdata(n); ydata(n); $fitFuncs(n,order); [o]yfit(n);
[o]coeffs(order))
Uses a standard matrix inversion method to do a least squares/min chi^2
fit to data.
Returns the fitted data and optionally the coefficients.
One can thread over extra dimensions to do multiple fits (except the
order can not be threaded over - i.e. it must be one fixed set of fit
functions "fitFuncs".
The data is normalised internally to avoid overflows (using the mean of
the abs value) which are common in large polynomial series but the
returned fit, coeffs are in unnormalised units.
# Generate data from a set of functions
$xvalues = sequence(100);
$data = 3*$xvalues + 2*cos($xvalues) + 3*sin($xvalues*2);
# Make the fit Functions
$fitFuncs = cat $xvalues, cos($xvalues), sin($xvalues*2);
# Now fit the data, Coefs should be the coefs in the linear combination
# above: 3,2,3
($yfit, $coeffs) = linfit1d $data,$fitFuncs;
Options:
Weights Weights to use in fit, e.g. 1/$sigma**2 (default=1)
perl v5.10.0 2000-12-06 Linfit(3)
