Fit a histogram and normal distribution to data

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Jurgen Casha
Jurgen Casha 2017-3-10
回答： Niels8 2019-12-17
I have the following variable:
The numbers on the left column represent the bin edges and the numbers on the right column represent the percentage frequency of the bin. For example:
(>1400 = 0%) and (between 1000 and 1400 = 1.1961%) and (between 710 and 1000 = 2.26725%) and so on.
I would like to construct a histogram and a probability density function (I think a gaussian curve fits well).
The problem is that I do not know the exact code for this and that the bins are not all the same size.

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回答（2 个）

Niels8
Niels8 2019-12-17
Did anyone find the question to this?
I am having the same problem
Image Analyst
Image Analyst 2017-3-10
Use fitdist(). The example in the help is:
%%Fit a Normal Distribution to Data
% Copyright 2015 The MathWorks, Inc.
Load the sample data. Create a vector containing the patients' weight data.
load hospital
x = hospital.Weight;
Create a normal distribution object by fitting it to the data.
pd = fitdist(x,'Normal')
Plot the pdf of the distribution.
x_values = 50:1:250;
y = pdf(pd,x_values);
plot(x_values,y,'LineWidth',2)
  2 个评论
Jurgen Casha
Jurgen Casha 2017-3-12
the value of x only accepts the raw data. The problem is that i only know ranges of data. For example in this case between 0 and 75 there is 0.0194%.
Image Analyst
Image Analyst 2017-5-25
You can use the count values of your histogram bins for x. The "x_values" would be the values of the histogram bin centers.

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