Plotting Two Gaussians on One Histogram

7 views (last 30 days)
I'd like to be able to make a histogram which has two distinct gaussian curves.. like a camel with two humps on its back. Preferably creating the gaussians from randn() would be ideal.
I think the question is based on generating the gaussian and adding the index/bins to the vector/data in some way. So, if I've phrased this correctly: How do I tack on the indices to the gaussians and overlap them (and I mean like literal addition by that)?
The picture quality is kinda bad but this:
is what I'm going for. Except I'd like it to be binned like a histogram.. perhaps using bar would be more effective?? My knowledge is low in this area and I appreciate all the help you can offer!
Thanks in advance, M.A.B.

Accepted Answer

Laurent
Laurent on 17 Sep 2013
Hi,
you can create the two shifted histograms with randn.
gauss1=randn(100000,1)/2+1; %create gaussian around +1
gauss2=randn(100000,1)/2-1; %create gaussian around -1
gausssum=[gauss1;gauss2]; %combine values
The histogram can than be made with 'hist'
[N,X]=hist(gaussum,100);
plot(X,N);
Is this what you were looking for?
  1 Comment
Michael
Michael on 17 Sep 2013
Perfect! Thank you. I was trying something like this on saturday... I should review it to see where I went wrong. Thank you very much for your input!

Sign in to comment.

More Answers (1)

dpb
dpb on 17 Sep 2013
Basic idea; I've got to run so you can fill in the inbetween by adding the appropriate bin counts and drawing the line on top or however you want to do it...
a=randn(200,1); % generate a normal sample mean 0, var 1
[n1,x1]=hist(1+a*0.25); [n2,x2]=hist(0.25*a-1);
bar(x1, n1,0.4), hold on, bar(x2,n2,0.4), hold off
Adjust the multiplier on the variance as per your data...
  1 Comment
Michael
Michael on 17 Sep 2013
I also like this method. Thank you for your input as well! I appreciate your time.

Sign in to comment.

Categories

Find more on Data Distribution Plots in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!