How can we calculate probability density of a histogram?

328 vues (au cours des 30 derniers jours)
ishita agrawal
ishita agrawal le 19 Août 2017
Commenté : Image Analyst le 28 Juin 2022
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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the cyclist
the cyclist le 19 Août 2017
Modifié(e) : the cyclist le 19 Août 2017

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.

Plus de réponses (3)

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

Mehri Mehrnia
Mehri Mehrnia le 27 Juin 2022
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!!!
  1 commentaire
Image Analyst
Image Analyst le 28 Juin 2022
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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