How to calculate the 95% (area under the curve) of Kernel probability density curve?

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Hi everyone,
I require to plot the kernel density curve and mark its 5% and 95% values on the plot. I attempted but not working (my script is attached) May someone suggest to me how can I fix this?
raw=readmatrix('5_95.csv');
a=raw(:,4);
figure(1)
pdSix = fitdist(a,'Kernel','Width',0.5);
x = -5:0.01:5;
ySix = pdf(pdSix,x);
plot(x,ySix,'k-','LineWidth',2)
The espected output should be like this.

Accepted Answer

Paul
Paul on 10 Jul 2022
Edited: Paul on 10 Jul 2022
The function icdf can find the values of x such that P(X < x) = 0.05 and 0.95.
Use those values with xline to add the vertical lines to the plot.
  5 Comments
Paul
Paul on 16 Jul 2022
According to fitdist
pdSix = fitdist(SixMPG,'Kernel','Kernel,',kernel,'Width',4);
where kernel is one of:
  • 'normal'
  • 'box'
  • 'triangle'
  • 'epanechnikov'

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