[Scilab-users] finding similar values with scilab

[Paul CARRICO]

Do you have to do this on a single file and to repeat it X times (where X is the thousands of file you're speaking) or do you have to calculate the deviation and so on) on the X files at the same time ?

Obviously the first case is much easier than the second one .....



-----Message d'origine-----
De : users [mailto:users-bounces at lists.scilab.org] De la part de samaelkreutz
Envoyé : samedi 22 février 2014 00:26
À : users at lists.scilab.org
Objet : Re: [Scilab-users] finding similar values with scilab

I need compute an iteration , but (obviously I don't know how to do it  =/  ) Read thousand of text files... then what I do is check the mean, stand.
deviation, and variation coefficient ( std/mean ). If the variation coefficient is <= 0.4, stop the process. If not, eliminate the big value and recalculate all the process again.

But i'm lost!!! because Im reading multiple text files and is confusing!!!!! 
Heeelp!!!!  




clc
clear all
z=[]; // genero mi matriz vacia que se ira llenando con el for  for i=103 //35:2:37// 
     for j=2.6:0.1:3.9//
     DM = fscanfMat(msprintf("new-C1_%d_%3.1f.txt",i,j));
     //disp(i,j)
     med=mean(DM(:,3));
     std=st_deviation(DM(:,3));
     CV=std/abs(med);
     Z=[med std CV CV*100];
     z=[z;Z]; // Matriz con información requerida
     //figure(i);
     //plot(DM(:,1), DM(:,3), 'ro*') 
     end
 end
z




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