Is there a way to know how close to a Gaussian distribution is my plot?

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.

Answer 1

[van lef]

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.

Answer 2

[Walter Roberson]

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?

[van lef]

Thank you for your quick response!

I am searching how to generate a Gaussian from my standard deviation and mean values but i can't find something.

Could you indicate something?

[Walter Roberson]

See the legend under the top graph at http://en.wikipedia.org/wiki/Gaussian_function