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- #
- # $Id: fit.dem,v 1.9 1997/05/27 01:29:34 drd Exp $
- #
-
- print "Some examples how data fitting using nonlinear least squares fit"
- print "can be done."
- print ""
- pause -1 "first plotting the pure data set (-> return)"
-
- set title 'data for first fit demo'
- plot 'lcdemo.dat'
- set xlabel "Temperature T [deg Cels.]"
- set ylabel "Density [g/cm3]"
-
- print "now fitting a straight line to the data :-)"
- print "only as a demo without physical meaning"
- load 'line.fnc'
- y0 = 0.0
- m = 0.0
- show variables
- pause -1 "first a plot with all parameters set to zero (-> return)"
- set title 'all fit params set to 0'
- plot 'lcdemo.dat', l(x)
- pause -1 "now start fitting... (-> return)"
- fit l(x) 'lcdemo.dat' via y0, m
- pause -1 "now look at the result (-> return)"
- set title 'unweighted fit'
- plot 'lcdemo.dat', l(x)
-
- pause -1 "see the influence of weights for single data points (-> return)"
- fit l(x) 'lcdemo.dat' using 1:2:3 via y0, m
- pause -1 "now look at the result (-> return)"
- set title 'fit weighted towards low temperatures'
- plot 'lcdemo.dat', l(x)
-
- pause -1 "now prefer the high temperature data (-> return)"
- fit l(x) 'lcdemo.dat' using 1:2:4 via y0, m
- pause -1 "now look at the result (-> return)"
- set title 'bias to high-temperates'
- plot 'lcdemo.dat', l(x)
-
- pause 0 "now use real single-measurement errors to reach such a result (-> return)"
- pause 0 "(look at the file lcdemo.dat and compare the columns to see the difference)"
- pause -1 "(-> return)"
- set title 'data with experimental errors'
- plot 'lcdemo.dat' using 1:2:5 with errorbars
- fit l(x) 'lcdemo.dat' using 1:2:5 via y0, m
- pause -1 "now look at the result (-> return)"
- set title 'fit weighted by experimental errors'
- plot 'lcdemo.dat' using 1:2:5 with errorbars, l(x)
-
- print "It's time now to try a more realistic model function"
- load 'density.fnc'
- show functions
- print "density(x) is a function which shall fit the whole temperature"
- print "range using a ?: expression. It contains 6 model parameters which
- print "will all be varied. Now take the start parameters out of the"
- pause -1 "file 'start.par' and plot the function (-> return)"
- load 'start.par'
- set title 'initial parameters for realistic model function'
- plot 'lcdemo.dat', density(x)
- fit density(x) 'lcdemo.dat' via 'start.par'
- pause -1 "now look at the result (-> return)"
- set title 'fitted to realistic model function'
- plot 'lcdemo.dat', density(x)
-
- print "looks already rather nice? We will do now the following: set"
- print "the epsilon limit higher so that we need more iteration steps"
- print "to convergence. During fitting please hit ctrl-C. You will be asked"
- print "Stop, Continue, Execute: Try everything. You may define a script"
- print "using the FIT_SCRIPT environment variable. An example would be"
- print "'FIT_SCRIPT=plot nonsense.dat'. Normally you don't need to set"
- print "FIT_SCRIPT since it defaults to 'replot'. Please note that FIT_SCRIPT"
- print "cannot be set from inside gnuplot."
- print ""
- pause -1 "(-> return)"
- FIT_LIMIT = 1e-10
- fit density(x) 'lcdemo.dat' via 'start.par'
- pause -1 "now look at the result (-> return)"
- set title 'fit with more iterations'
- plot 'lcdemo.dat', density(x)
-
- FIT_LIMIT = 1e-5
- print "\nNow a brief demonstration of 3d fitting."
- print "hemisphr.dat contains random points on a hemisphere of"
- print "radius 1, but we let fit figure this out for us."
- print "It takes many iterations, so we limit FIT_MAXITER to 50."
- #HBB: made this a lot harder: also fit the center of the sphere
- #h(x,y) = sqrt(r*r - (x-x0)**2 - (y-y0)**2) + z0
- #HBB 970522: distort the function, so it won't fit exactly:
- h(x,y) = sqrt(r*r - (abs(x-x0))**2.2 - (abs(y-y0))**1.8) + z0
- x0 = 0.1
- y0 = 0.2
- z0 = 0.3
- r=0.5
- FIT_MAXITER=50
- set title 'the scattered points, and the initial parameter'
- splot 'hemisphr.dat' using 1:2:3, h(x,y)
- pause -1 "(-> return)"
-
- # we *must* provide 4 columns for a 3d fit. We fake errors=1
- fit h(x,y) 'hemisphr.dat' using 1:2:3:(1) via r, x0, y0, z0
- set title 'the scattered points, fitted curve'
- splot 'hemisphr.dat' using 1:2:3, h(x,y)
- print "\n\nNotice, however, that this would converge much faster when"
- print "fitted in a more appropriate co-ordinate system:"
- print "fit r 'hemisphr.dat' using 0:($1*$1+$2*$2+$3*$3) via r"
- print "where we are fitting f(x)=r to the radii calculated as the data"
- print "is read from the file. No x value is required in this case.
- pause -1 "(This is left as an excercise for the user). (-> return)"
- FIT_MAXITER=0 # no limit : we cannot delete the variable once set
-
- print "\n\nNow an example how to fit multi-branch functions\n"
- print "The model consists of two branches, the first describing longitudinal"
- print "sound velocity as function of propagation direction (upper data),"
- print "the second describing transverse sound velocity (lower data).\n"
- print "The model uses these data in order to fit elastic stiffnesses"
- print "which occur differently in both branches.\n"
- pause -1 "(-> return)"
- load 'hexa.fnc'
- load 'sound.par'
- set title 'sound data, and model with initial parameters'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- # Must provide an error estimate for a 3d fit. Use constant 1
- fit f(x,y) 'soundvel.dat' using 1:-2:2:(1) via 'sound.par'
- #create soundfit.par, reading from sound.par and updating values
- update 'sound.par' 'soundfit.par'
- print ""
- pause -1 "(-> return)"
- set title 'pseudo-3d multi-branch fit to velocity data'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- print "Look at the file 'hexa.fnc' to see how the branches are realized"
- print "using the data index as a pseudo-3d fit"
- print ""
- print "Next we only use every fifth data point for fitting by using the"
- print "'every' keyword. Look at the fitting-speed increase and at"
- print "fitting result."
- print ""
- pause -1 "(-> return)"
- load 'sound.par'
- fit f(x,y) 'soundvel.dat' every 5 using 1:-2:2:(1) via 'sound.par'
- set title 'fitted only every 5th data point'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- print "When you compare the results (see 'fit.log') you remark that"
- print "the uncertainties in the fitted constants have become larger,"
- print "the quality of the plot is only slightly affected."
- print ""
- print "By marking some parameters as '# FIXED' in the parameter file"
- print "you fit only the others (c44 and c13 fixed here)."
- print ""
- pause -1 "(-> return)"
- load 'sound2.par'
- set title 'initial parameters'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- fit f(x,y) 'soundvel.dat' using 1:-2:2:(1) via 'sound2.par'
- set title 'fit with c44 and c13 fixed'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- print "This has the same effect as specifying only the real free"
- print "parameters by the 'via' syntax."
- print ""
- print "fit f(x) 'soundvel.dat' via c33, c11, phi0"
- print ""
- pause -1 "(-> return)"
- load 'sound.par'
- set title 'initial parameters'
- plot 'soundvel.dat', vlong(x), vtrans(x)
- fit f(x,y) 'soundvel.dat' using 1:-2:2:(1) via c33, c11, phi0
- set title 'fit via c33,c11,phi0'
- plot 'soundvel.dat', vlong(x), vtrans(x)
-
- print "Here comes an example of a very complex function..."
- print ""
- pause -1 "first plotting the pure data set (-> return)"
-
- set xlabel "Delta [degrees]"
- set ylabel "Reflectivity"
- set title 'raw data'
- #HBB 970522: here and below, use the error column present in moli3.dat:
- plot 'moli3.dat' w e
-
- print "now fitting the model function to the data"
- load 'reflect.fnc'
-
- #HBB 970522: Changed initial values to something sensible, i.e.
- # something an experienced user of fit would actually use.
- # FIT_LIMIT is also raised, to ensure a better fit.
- eta = 1.2e-4
- tc = 1.8e-3
- FIT_LIMIT=1e-10
-
- show variables
- show functions
- pause -1 "first a plot with all parameters set to initial values (-> return)"
- set title 'initial parameters'
- plot 'moli3.dat' w e, R(x)
- pause -1 "now start fitting... (-> return)"
- fit R(x) 'moli3.dat' u 1:2:3 via eta, tc
- pause -1 "now look at the result (-> return)"
- set title 'fitted parameters'
- replot
-
- #HBB 970522: added comment on result of last fit.
- print "Looking at the plot of the resulting fit curve, you can see"
- print "that this function doesn't really fit this set of data points."
- print "This would normally be a reason to check for measurement problems"
- print "not yet accounted for, and maybe even re-think the theoretic"
- print "prediction in use."
- print ""
-
- print "You can have a look at all previous fit results by looking into"
- print "the file 'fit.log' or whatever you defined the env-variable 'FIT_LOGFILE'."
- print "Remember that this file will always be appended, so remove it"
- print "from time to time!"
- print ""
- pause -1 "Done with fitting demo (-> return)"
-