Picking value from CDF

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Georgios Vamvakopoulos
Georgios Vamvakopoulos el 17 de Ag. de 2016
Comentada: Georgios Vamvakopoulos el 17 de Ag. de 2016
Hello Everyone,
I ploted a CDF which I attached in the post. My problem is that I want to pick the 68%, 95% and 99.7% of the observations and find the corresponding value from x axis. How can I have matlab to pick these values and store them?. The problem is that there are too many graphs and it is impossible to do this manually.

Respuesta aceptada

Torsten
Torsten el 17 de Ag. de 2016
Editada: Torsten el 17 de Ag. de 2016
v_68 = interp1(probability,velocity,0.68);
v_95 = interp1(probability,velocity,0.95);
v_99_7 = interp1(probability,velocity,0.997);
where probability and velocity are the arrays defining the CDF curve.
Best wishes
Torsten.
  1 comentario
Georgios Vamvakopoulos
Georgios Vamvakopoulos el 17 de Ag. de 2016
Thank you for your reply, you suggestion works perfectly

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Más respuestas (1)

John D'Errico
John D'Errico el 17 de Ag. de 2016
Editada: John D'Errico el 17 de Ag. de 2016
It is just a piecewise linear function. You can use a tool like intersections (from the file exchange) to do this trivially. Thus, on of the curves will be the CDF, and the other "curve" will be a horizontal line. Since that line can be defined by two points, it is trivial to create and pass in also.
Alternatively, you can create the CDF as a pchip spline (use pchip to do this), then use slmsolve, as found in my SLM toolbox. Or, you could use slmeval, also in the SLM toolbox .
Since pchip will build a nice smooth interpolant, it may be your preference. Or not. Any of the alternatives I have outlined will work trivially and efficiently in only a very few lines of code.
Edit: I see that Torsten has pointed out you could use interp1 to solve the problem by inverting x and y. This approach will work IF the tails of that CDF are NOT absolutely constant.
However if the first few points on the CDF are exactly zero, or the last few points are exactly 1, then interp1 will fail. It will give an error that talks about needing a monotonic vector for x.
  1 comentario
Georgios Vamvakopoulos
Georgios Vamvakopoulos el 17 de Ag. de 2016
Thank you for your reply, Torsten solution works just fine for my problem :)
Have a nice day

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