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SFIT


Syntax | Arguments | Keywords | Examples | Version History | See Also

The SFIT function determines a polynomial fit to a surface and returns a fitted array. The function fitted is:

This routine is written in the IDL language. Its source code can be found in the file sfit.pro in the lib subdirectory of the IDL distribution.

Syntax

Result = SFIT( Data, Degree [, KX=variable] )

Arguments

Data

The two-dimensional array of data to fit. The sizes of the dimensions may be unequal.

Degree

The maximum degree of fit (in one dimension).

Keywords

KX

Set this keyword to a named variable that will contain the array of coefficients for a polynomial function of x and y to fit data. This parameter is returned as a Degree+1 by Degree+1 array.

Examples

; Create a grid from zero to six radians in the X and Y directions: 
X = (FINDGEN(61)/10) # REPLICATE(1,61) 
Y = TRANSPOSE(X) 
 
; Evaluate a function at each point: 
F = -SIN(2*X) + COS(Y/2) 
 
; Compute a sixth-degree polynomial fit to the function data: 
result = SFIT(F, 6) 
 
; Display the original function on the left and the fitted function 
; on the right, using identical axis scaling: 
WINDOW, XSIZE = 800, YSIZE = 400 
 
; Set up side-by-side plots: 
 
!P.MULTI = [0, 2, 1] 
 
; Set background color to white: 
 
!P.BACKGROUND = 255 
 
; Set plot color to black: 
 
!P.COLOR = 0 
 
SURFACE, F, X, Y, ZRANGE = [-3, 3], ZSTYLE = 1 
SURFACE, result, X, Y 

The following figure shows the result of this example. The original function is on the left and the fitted function is on the right:

Version History

Introduced: Pre 4.0

See Also

CURVEFIT, GAUSSFIT, LINFIT, LMFIT, POLY_FIT, REGRESS, SVDFIT


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