How can we calculate probability density of a histogram?

Hello, I have a dataset containing hundreds of data points representing duration of events. I have plotted a histogram for this data set. I want to calculate probability density for the same. I want a plot having event duration at X-axis and probability density at Y-axis. I have attached histogram for which I want to calculate PD.

Answer 1

[the cyclist]

If you have version R2014b or later, you can use the histogram command, and specify the 'Normalization' property to be 'probability':

rng default
x = randn(1000,1);
h = histogram(x,'Normalization','probability');

h.Values will give you the density.

[ishita agrawal]

It worked. Thank you

Answer 2

[Image Analyst]

Did you look in the documentation for histogram and see the normlization option:

'Normalization' — Type of normalization

'count' (default) | 'probability' | 'countdensity' | 'pdf' | 'cumcount' | 'cdf'

[ishita agrawal]

Thank you for the answer

[Sajid Afaque]

what about for prior version.

i am using 2013b and i need probability distribution

[Image Analyst]

Just divide your counts by either the number of counts in the highest bin, or by the sum of all bins, depending on how you define normalize.

Answer 3

[Steven Lord]

Use the 'Normalization' option of the histogram function.

Answer 4

[Mehri Mehrnia]

I have the same problem , just at I want to have same edges in both before normalization and after normalization.

I got an strange result!!!

[Image Analyst]

Thanks for the announcement. If you have any questions, then attach your data and code to read it in with the paperclip icon after you read this:

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