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  From: Daniel Ryan <drya9411@mail.usyd.edu.au>
  To  : RASMB <rasmb@alpha.bbri.org>
  Date: Wed, 18 Oct 2000 23:54:13 +1000

Data Sim

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I was wishing to do just some simple data simulation for sedimentation =
equilibrium data. It doesn't have to be too complex. The aim is just to =
generate some data from some given parameters, so that the user can =
compare their data and the generated stuff, and see if what they have is =
close. If it is close they can then go on to do some non-linear least =
squares analysis, to test deeper. If the 2 sets are not close then they =
can rethink their model and not worry about wasting their time trying to =
fit it to the model. The simple way I tohought to do this would be to =
supply the parameters, e.g estimate of K, MW etc and you would have the =
speed etc from the experiment and then randomly generate(within certain =
boundaries) the baseline offset(therfore giving some sort of =
experimental error) and generatng data over a particular range of radii. =
Would this be sufficient enough to give a general idea or would I need =
to do somehting else.

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META content=3D"text/html; charset=3Diso-8859-1" =
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<BODY bgColor=3D#ffffff>
<DIV><FONT face=3DArial size=3D2>I was wishing to do just some simple =
data=20
simulation for sedimentation equilibrium data. It doesn't have to be too =

complex. The aim is just to generate some data from some given =
parameters, so=20
that the user can compare their data and the generated stuff, and see if =
what=20
they have is close. If it is close they can then go on to do some =
non-linear=20
least squares analysis, to test deeper. If the 2 sets are not close then =
they=20
can rethink their model and not worry about wasting their time trying to =
fit it=20
to the model. The simple way I tohought to do this would be to supply =
the=20
parameters, e.g estimate of K, MW etc and you would have the speed etc =
from the=20
experiment and then randomly generate(within certain boundaries) the =
baseline=20
offset(therfore giving some sort of experimental error) and generatng =
data over=20
a particular range of radii. Would this be sufficient enough to give a =
general=20
idea or would I need to do somehting else.</FONT></DIV></BODY></HTML>

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