Normal distribution problem using histfit

Hi MatLab-friends,

I have a question about histfit. My dataset only contains positive (or 0s) values but when I make my histfit, the normal distribution goes from negative values. How can I make the distribution line only consider positive values?

Attaching figure. How I want the distribution to look is seen with the black line.

Thank you in advance.

P.S.

The code I use now is:

F=d_f_t(:,2) %

n_d=histfit(F)

[dpb]

The distribution you drew doesn't represent the data well at all; the normal is a very bad choice being symmetric and unbounded; for a continuous distribution you might try lognormal.

[Vlatko Milic]

Thank you very much, you are correct!

Answer 1

[the cyclist]

If @dpb had made his comment as an answer, I would have upvoted it.

Your data are clearly not normally distributed. Is there a particular reason that you wanted to fit them with a normal?

You can use the histfit function with a different underlying distribution. dpb's suggestion of a lognormal looks like an excellent choice, from a purely empirical point of view (but you may know something about the underlying process that makes some other distribution a better choice). See the documentation for details, but for example ...

n_d = histfit(F,[ ],'lognormal')

should give you something much better than you have now.