FITEXY Purpose Best straight-line fit to data with errors in both coordinates Explanation Linear Least-squares approximation in one-dimension (y = a + b*x), when both x and y data have errors CALLING EXAMPLE: FITEXY, x, y, A, B, X_SIG= , Y_SIG= , [sigma_A_B, chi_sq, q, TOL=] Inputs x = array of values for independent variable. WebBasically what I'd like is a > quadratic version of fitexy (i.e., sigmas on all returned coefficients+ > dispersion of fit+reduced chi-square). > > Obviously there is a nice way to do this without doing Monte Carlo > simulations, but anyone who could save me a few > hours of hacking code would become my instant hero(ine).
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Re: Help: Weighted quadratic fitting under IDL?
WebOct 28, 2014 · Suppose you have a C function fit_line with the following signature: void fit_line (float x [], float y [], int n, float *a, float *b); It takes two input data arrays x and y of length n, and fits a straight line y = a*x + b in the least-squares sense by computing the quatities a and b. Here is how I would write the MEX function: WebThe red line represents the result of the linear fitting performed using the IDL task FITEXY. from publication: Multiwavelength Photometric and Spectropolarimetric Analysis of the FSRQ 3C 279 In ... WebLINFIT is based upon the “fit” and “gammq” routines from Numerical Recipes in C (Second Edition). See section 15.2 of Numerical Recipes in C (Second Edition) for details. This … ttc ttf 変換