Hi Carlos,
I understand that you are performing the transformation without using built-in functions and would like to fetch the normal distribution coefficients from a plot. I am assuming that by the normal distribution coefficients, you are referring to the “mean” and “standard deviation” for the distribution.
You can utilize the 'fitdist' function in MATLAB for plotting the residuals. By passing the 'Normal' parameter along with the data as input, this function will return the best fitting normal distribution object for the data.
Please refer to the following code snippet for using the “fitdist” function:
%% Generating random data (Data you will fetch after plotting the residuals)
data = normrnd(0, 1, 1000, 1);
% Add noise to the data for more randomization of the parameters
data = data + normrnd(0, 0.1, size(data));
% Fit the data to a normal distribution
pd = fitdist(data, 'Normal');
% Get the mean and standard deviation coefficients
mu = pd.mu;
sigma = pd.sigma;
% Display the coefficients
disp(mu);
disp(sigma);
For more information about the above-mentioned functions, please refer to the documentation below:
- fitdist: https://in.mathworks.com/help/stats/fitdist.html
- normrnd: https://in.mathworks.com/help/stats/normrnd.html
Hope this information helps in solving the issue you were facing.
Best Regards,
Moksh Aggarwal
