Dear all,
This is an example of the output for a GSAS cycle, using two histograms (two
portions of a diffraction spectrum, with different step scan times)
Powder data statistics Fitted -Bknd
Average
Bank Ndata Sum(w*d**2) wRp Rp wRp Rp DWd
Integral
Hstgm 1 PXC 1 5699 20672. 0.1295 0.1002 0.1275 0.0990 0.584
0.884
Hstgm 2 PXC 1 2484 5798.1 0.0746 0.0600 0.0791 0.0618 0.887
0.887
Powder totals 8183 26470. 0.1078 0.0818 0.1192 0.0871 0.650
Cycle 319 There were 8183 observations.
Total before-cycle CHI**2 (offset/sig) = 2.6470E+04 ( 1.4352E+02)
Reduced CHI**2 = 3.249 for 35 variables
Histogram 1 Type PXC Nobs= 222 R(F**2) = 0.0549
Histogram 2 Type PXC Nobs= 602 R(F**2) = 0.0507
I would know if it is possible to build a global R(F**2), for example
{R(F**2)[1] x Nobs[1] + R(F**2)[2] x Nobs[2]} / {Nobs[1] + Nobs[2]} = 0.0518
or some other procedure
Thank you very much
Riccardo Vivani
