It turns out I wanted to use the fit function ( [ff,gof,out] = fit(x',jh','gauss1');) and by the gof output you can compare how close each value is to a Gaussian.
Is there a way to know how close to a Gaussian distribution is my plot?
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I am creating some plots and i would like to see how close to a Gaussian distribution they are. Maybe it will help me compare the quality of the data because one time I can have values from 0 to 40 and another from 0 to 1000. Does anyone have any previous experience with this? Thank you in advance.
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Walter Roberson
2011-9-2
If you were fitting a specific Gaussian distribution then kstest2() . But if you do not know the parameters of the distribution then... ummm, measure the mean and standard deviation of the actual data, and generate a gaussian distribution from those, and then kstest2() that against the actual data, maybe?
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Walter Roberson
2011-9-2
See the legend under the top graph at http://en.wikipedia.org/wiki/Gaussian_function
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