MATLAB: How to create a histogram plot, y axis = number of objects, x = spot intensity and analyse it using a mixed gaussian distribution. I know that the data presented does not have much skew but I am just learing MATLAB

mixed gaussian

y axis data = :

0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170.

x axis data = : 0. 0. 0. 0. 4. 12. 8. 11. 12. 20. 22. 19. 27. 30. 22. 26. 23. 22. 13. 18. 12. 14. 11. 10. 4. 6. 4. 1. 4. 3. 2. 1. 1.

Best Answer

Use histogram function in Matlab

https://it.mathworks.com/help/matlab/ref/histogram.html

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MATLAB: Using chi2gof to test two distributions

Sorry, the x's really do have to be the data values. Try this:

bins=[0:9:81]
xvals = bins(1:end-1)+4.5;   % Here are some fake data values that belong in each bin.
xcounts= [41 22 11 10 9 5 2 3 2]  % These are the counts of the data values in each bin.
y= [38.052 24.2655 15.4665 9.8595 6.2895 4.011 2.562 1.6275 2.8665];
[h,p,stat]=chi2gof(xvals,'Edges',bins,'Expected',y,'Frequency',xcounts,'EMin',1)

This will give you your 4.68. By default, chi2gof groups small bins (less than 5) together, and 'EMin' tells it not to do that.

MATLAB: Ii want to know about, How to find a histogram of an uint8 image with 16 amplitude bins

histogram(YourImage(:), 16)

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MATLAB: Using chi2gof to test two distributions

MATLAB: Ii want to know about, How to find a histogram of an uint8 image with 16 amplitude bins

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