Trying to produce a proper pdf, cdf and histogram from data
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load InsulinReadings.mat
xX2 = InsulinReadings;
xX2(xX2==0)=missing;
A2 = mean(xX2,'all',"omitnan")
B2 = median(xX2,'all',"omitnan")
C2 = max(xX2,[],'all',"omitnan")
D2 = min(xX2,[],'all', "omitnan")
histogram(xX2)
[D PD] = allfitdist(xX2,'PDF');
xlabel('Insulin');
%Now get the CDF
[D PD] = allfitdist(xX2,'CDF');
xlabel('Insulin')
Using the data presented I am trying to produce better diagrams as seen in my code
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Benjamin Thompson
le 24 Fév 2022
You could use the Curve Fitting Tool if you have that toolbox, to find the best set of parameters for some standard type of distribution. If you are asking about the allfitdist function, there is another post on the Community site about allfitdist being replaced by fitmethis.
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