Re: Using Fit to interpolate data

*To*: mathgroup at smc.vnet.net*Subject*: [mg127438] Re: Using Fit to interpolate data*From*: Barrie Stokes <Barrie.Stokes at newcastle.edu.au>*Date*: Wed, 25 Jul 2012 02:31:35 -0400 (EDT)*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com*Delivered-to*: mathgroup-newout@smc.vnet.net*Delivered-to*: mathgroup-newsend@smc.vnet.net*References*: <20120724081518.A77C26839@smc.vnet.net>

Hi Kris The code (mostly adapted from the help for FindFit): model = a Exp[-k x + m ] fit = FindFit[fiberDataDensitiesFeierabend, model, {a, k, m}, x] modelf = Function[{x}, Evaluate[model /. fit]] (*************) Plot[modelf[x], {x, Min[Subscript[fiberDataDensitiesFeierabend, [[ All, 1 ]]]], Max[Subscript[fiberDataDensitiesFeierabend, [[ All, 1 ]]]]}, PlotRange -> All, Epilog -> Map[Point, fiberDataDensitiesFeierabend], Frame -> True] Plot[modelf[x], {x, 10, 16}, PlotRange -> All, Epilog -> Map[Point, fiberDataDensitiesFeierabend], Frame -> True] (*************) {tl, yl} = Transpose[fiberDataDensitiesFeierabend]; residuals = yl - Map[modelf, tl]; ListPlot[residuals, Filling -> Axis, DataRange -> {Min[tl], Max[tl]}, PlotRange -> All, Frame -> True] suggests that there is no simple smooth curve that goes through all your data points, and if you interpolate, you will get some negative values of the interpolating function. Cheers Barrie >>> On 24/07/2012 at 6:15 pm, in message <20120724081518.A77C26839 at smc.vnet.net>, Kris Carlson <carlsonkw at gmail.com> wrote: > Hi, > > Can someone enlighten me about how to fit a curve to data? These data are > of the density of axons of given diameters in the spinal cord. The density > of smaller fibers is dramatically larger than that of larger fibers. There > cannot be density < 0 of any diameter, so heuristically to prevent a fit > yielding an equation that dips below 0 I added an end point with fiber > diameter = 16 that is 0. Then using Fit I try to increase the exponent of x > until the curve doesn't yield negative values. The fit looks good in large > scale but when I plot the region of greatest interest, 8 < x < 14, it no > longer looks so good. Maybe I am simply ignorant about fitting a curve to > somewhat irregular data? Or can it be done? > > Thank you. > > Kris > > fiberDataDensitiesFeierabend = {{16, 0}, {10.7, 0.11}, {10.4, > 0.19}, {9.77, 0.41}, {8.29, 3.05}, {7.14, 19.86}}; > > fbddPlot = > ListPlot[fiberDataDensitiesFeierabend, > PlotMarkers -> {Automatic, Medium}] > > fbddFit = Fit[fiberDataDensitiesFeierabend, {1, x, x^-13}, x] > > Show[Plot[fbddFit, {x, 4, 20}, > PlotRange -> {{4.5, 20}, {-0.5, 25}}], fbddPlot] > > Show[Plot[fbddFit, {x, 4, 28}, > PlotRange -> {{8, 16}, {-0.5, 1}}], fbddPlot]

**References**:**Using Fit to interpolate data***From:*Kris Carlson <carlsonkw@gmail.com>