How to get the error value when fitting a gaussin curve to a data?
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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
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Accepted Answer
Star Strider
on 5 Jan 2015
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.
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