How do I plot a gaussian mixed model with 1D data?

Hi I am a novice in Matlab. I have to plot a gaussian mixed model with one dimensional data. So far i have been able to do only this: data = xlsread('csf.xlsx','ab'); mu1 = mean('data'); sigma1 = std('data'); X = [mvnrnd(mu1,sigma1,1000)]; gm = fitgmdist(X,2); What do i do next? Thanks a lot.

[Sajid Raza]

@Trisha Kibaya, did you get answer for this one dimensional question?

I am facing same issue. I have one dimensional data. I use 'fitgmdist' to get gmdistribution. Then i want to visualize this distribution or show as clusters based on mu and sigma from the fitgmdist function.

Thanks.

Answer 1

[Yuvaraj Venkataswamy]

if true
  data = xlsread('csf.xlsx','ab'); % your data
  mu1 = mean('data'); % mean 
  sigma1 = std('data'); % standard deviation
  X = [mvnrnd(mu1,sigma1,1000)]; % generate equal number of random variables
  gm = fitgmdist(X,2); %Gaussian mixture distribution with 2 components
  scatter(X(:,1),X(:,2),10,'.')  % plot X
  hold on
  ezcontour(@(x,y)pdf(gm,[x y]),[-8 6],[-8 6])
end

From the plot You can visualize the fitted model gm by using pdf and ezcontour of your data.

[Trisha Kibaya]

Thanks for your reply. I did as you suggested and I got the following error message: Index in position 2 exceeds array bounds (must not exceed 1). Do you know which position its referring to? and is there a way to plot it like a bell curve?

[Yuvaraj Venkataswamy]

In which line you are getting error?

Answer 2

[Trisha Kibaya]

I have attached a screenshot.