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authorJoseph Hunkeler <jhunkeler@gmail.com>2015-07-08 20:46:52 -0400
committerJoseph Hunkeler <jhunkeler@gmail.com>2015-07-08 20:46:52 -0400
commitfa080de7afc95aa1c19a6e6fc0e0708ced2eadc4 (patch)
treebdda434976bc09c864f2e4fa6f16ba1952b1e555 /pkg/xtools/inlfit/inerrors.gx
downloadiraf-linux-fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4.tar.gz
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+include <math/nlfit.h>
+include <pkg/inlfit.h>
+
+# IN_ERRORS -- Compute the reduced chi-square of the fit and the
+# parameter errors. This procedure must be used instead of nlerrors()
+# because the weigths are changed during the data rejection process.
+# If no data rejection is used, then both procedures are equivalent.
+
+procedure in_errors$t (in, nl, x, y, wts, npts, nvars, variance, chisqr,
+ scatter, rms, errors)
+
+pointer in # INLFIT pointer
+pointer nl # NLFIT pointer
+PIXEL x[ARB] # Ordinates (npts * nvars)
+PIXEL y[npts] # Data to be fit
+PIXEL wts[npts] # Weights
+int npts # Number of points
+int nvars # Number of variables
+PIXEL variance # variance of the fit (output)
+PIXEL chisqr # reduced chi-squared of fit (output)
+PIXEL scatter # additional scatter in equation
+PIXEL rms # RMS of the fit (output)
+PIXEL errors[ARB] # errors in coefficients (output)
+
+int i
+PIXEL in_rms$t(), nlstat$t
+pointer sp, fit, wts1, rejpts
+
+int in_geti()
+pointer in_getp()
+
+begin
+# # Debug.
+# call eprintf ("in_errors: in=%d, nl=%d, npts=%d, nvars=%d\n")
+# call pargi (in)
+# call pargi (nl)
+# call pargi (npts)
+# call pargi (nvars)
+
+ # Allocate memory for fit and weights.
+ call smark (sp)
+ call salloc (fit, npts, TY_PIXEL)
+ call salloc (wts1, npts, TY_PIXEL)
+
+ # Set zero weight for rejeceted points.
+ call amov$t (wts, Mem$t[wts1], npts)
+ if (in_geti (in, INLNREJPTS) > 0) {
+ rejpts = in_getp (in, INLREJPTS)
+ do i = 1, npts {
+ if (Memi[rejpts+i-1] == YES)
+ Mem$t[wts1+i-1] = PIXEL (0.0)
+ }
+ }
+
+ # Evaluate the fit, and compute the rms, reduced chi
+ # squared and errors.
+
+ call nlvector$t (nl, x, Mem$t[fit], npts, nvars)
+ call nlerrors$t (nl, y, Mem$t[fit], Mem$t[wts1], npts,
+ variance, chisqr, errors)
+ rms = in_rms$t (y, Mem$t[fit], Mem$t[wts1], npts)
+ scatter = nlstat$t (nl, NLSCATTER)
+
+ # Free memory.
+ call sfree (sp)
+end