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This is the two-step discretization evaluation (TEDIE) procedure. This procedure is proposed by T. Jann, Y. Li, and Dr. P. Vera-Licona.

TEDIE procedure contains two steps:

  1. Qualification: run sign test;
  2. Evaluaton: calculate mean area between the curves as a criteria;

##------ functions ------##

benchmark.m: For evaluation step; Depend on prebenchmark.m; !! Each time series should come in as a n*1 vertical vector; This function is able to calculate a matrix with multiple times series when each are coming in a column;

prebenchmark.m: calculate difference of area between lines formed by 4 points: line 1: (x1, y1) -- (x2, y2) line 2: (x3, y3) -- (x4, y4) A sub-funciton for benchmark.m; Notice that this is NOT mean area between the curves;

choosedialog.m: the GUI for choosing the input variable from variable space in MATLAB;

GetDiscretizaionethods.m: to get variables in the MATLAB variable space; it serves as a part in choosedialog GUI;

##------ Examples ------##

*.mat: data file for example use;

main_*.m: example files for TEDIE procedure that uses benchmark.m;

##------- GITHUB ---------##

https://github.com/VeraLiconaResearchGroup/DiscretizationAlgorithms

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