How to get the error value when fitting a gaussin curve to a data?

I have the following data fitting curve:

And i'd like to compute the error associated to this fitting, the var error! If some one knows how to do it please help me.

Thanks

Answer 1

[Star Strider]

To do the plot and get the data to analyse the error of the fit, this works:

x = 0.25*randn(1000,1)+1;                       % Create Data

h = histfit(x,50);
histdata = get(h(1),'XData');                   % Get Histogram Data
redcurve = get(h(2),'YData');                   % Get Fit Data

histctrs = mean(histdata);                      % Mean Of Bin Edges
redcurve2 = mean(reshape(redcurve, 2, []));     % Mean Of Bin Edges Fit
fit_err = histctrs - redcurve2;                 % Error
SSE = sum(fit_err.^2);                          % Sum-Squared Error
MSE = mean(fit_err.^2);                         % Mean-Squared-Error
RMSE = sqrt(MSE);                               % Root-Mean-Squared-Error

Your data actually seem to me to be lognormally distributed, so consider using the 'lognormal' distribution option.

Answer 2

[Joao Costa]

But how do I get the red line (gaussian curve) In my code I did this:

histfit(data);

Thank you

Answer 3

[Joao Costa]

Thanks a lot star strider! I only had to normalize the vector!

[Star Strider]

My pleasure!