I am willing to overlay a equalized cdf with equalized histogram in matlab. But it's really hard to find any recommends. so if you can, would you please let me know about that?

  • $\begingroup$ Maybe you want to overlay the PDF with the histogram? $\endgroup$ – Gilles Oct 23 '14 at 9:11
  • $\begingroup$ No I want to overlay plot with cdf. $\endgroup$ – Carter Oct 23 '14 at 13:48

You can use 'hold on' with a histogram:

[n,x]=hist(rand(1,100),20);  % find the histogram
bar(x,n./sum(n))             % plot normalized histogram
hold on                      % don't delete current plot
plot([0 1],[0.1 0.1])        % plot a uniform pdf
axis([0 1 0 0.12])           % make room around the plot

Another example using a normal distribution, which shows how to normalize the histogram so that its area is one:

r=randn(1,1000);      % normal random variable
n=n./(delta*sum(n));  % n is normalized so that its area is 1
hold on
plot(d,(1/sqrt(2*pi))*exp(-(d.*d)./2),'r')  % plot of the normal pdf
  • $\begingroup$ Thanks but it does not realized with equalized cdf. Where can I find equalized CDF in your code? $\endgroup$ – Carter Oct 23 '14 at 3:51
  • $\begingroup$ Even it was just made by hard plot and not equalized CDF. $\endgroup$ – Carter Oct 23 '14 at 4:16
  • $\begingroup$ Your question is how to overlay a plot with a histogram, not how to obtain an "equalized CDF" (which I assumed is just a PDF), which is an entirely different question. In my answer, I'm simulating a uniform random variable (with rand in the first line), and I plot a uniform PDF in line 4. $\endgroup$ – MBaz Oct 23 '14 at 13:27
  • $\begingroup$ Thanks. this looks like so. I need make to another post same subject. $\endgroup$ – Carter Oct 23 '14 at 13:47
  • $\begingroup$ @user1917217: I've added another example that shows more clearly how to normalize the histogram to obtain a probability density function (pdf). $\endgroup$ – MBaz Oct 23 '14 at 13:50

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