How can we calculate probability density of a histogram?

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ishita agrawal
ishita agrawal 2017-8-19
评论： Image Analyst 2022-6-28
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.

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采纳的回答

the cyclist
the cyclist 2017-8-19
编辑：the cyclist 2017-8-19

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.

更多回答（3 个）

Image Analyst
Image Analyst 2017-8-19
Did you look in the documentation for histogram and see the normlization option:
'Normalization' — Type of normalization
'count' (default) | 'probability' | 'countdensity' | 'pdf' | 'cumcount' | 'cdf'
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Sajid Afaque
Sajid Afaque 2020-6-12
what about for prior version.
i am using 2013b and i need probability distribution
Image Analyst
Image Analyst 2020-6-12
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.

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Steven Lord
Steven Lord 2017-8-19
Use the 'Normalization' option of the histogram function.
Mehri Mehrnia
Mehri Mehrnia 2022-6-27
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!!!
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Image Analyst
Image Analyst 2022-6-28
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:
TUTORIAL: How to ask a question (on Answers) and get a fast answer

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