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When you have simple distributions where the Y value is nearly a function of the X variable, it is more convenient to use a profile histogram (see HBOOK routine HBPROF or PAW command PROFILE)
You can use the Histo/fit command with the predefined fitting functions on a profile histogram. See the macro below.
macro fit2l
h/del 0
application comis quit
subroutine make2d
call hbook2(2,'test',40,0.,10.,40,0.,10.,0.)
call hbprof(1,'test',40,0.,10.,0.,10.,'S')
do 10 i=1,10000
dev=0.5-rndm(i)
x=10.*rndm(i)
call hfill(1,x,x+dev,1.)
call hfill(2,x,x+dev,1.)
10 continue
end
quit
call make2d
zone 1 2
h/pl 2
hi/fit 1 p1
return
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PAW > exe fit2l
**********************************************
* *
* Function minimization by SUBROUTINE HFITPO *
* Variable-metric method *
* ID = 1 CHOPT = TU *
* *
**********************************************
Convergence when estimated distance to minimum (EDM) .LT. 0.10E+01
FCN= 1.792382 FROM MIGRAD STATUS=CONVERGED 31 CALLS 32 TOTAL
EDM= 0.21E-24 STRATEGY= 1 ERROR MATRIX ACCURATE
EXT PARAMETER STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 A0 0.55398E-01 0.85177E-01 0.26538E-02 -0.96222E-11
2 A1 0.98826 0.14371E-01 0.25001E-02 -0.82064E-10
CHISQUARE = 0.4717E-01 NPFIT = 40
PAW >
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