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comparison m-toolbox/test/test_ao_cdfplot.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 %
2 % A test script for cdfplot
3 %
4 % L Ferraioli 30-06-2011
5 %
6 % $Id: test_ao_cdfplot.m,v 1.1 2011/07/08 09:25:54 luigi Exp $
7 %
8 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
9 %% useful vars
10 nsecs = 1000;
11 fs = 1;
12
13 %% build test objects
14
15 a1 = ao.randn(nsecs,fs);
16 a2 = ao.randn(nsecs,fs);
17 a3 = ao.randn(nsecs,fs);
18 a4 = ao.randn(nsecs,fs);
19
20
21 %% test empirical
22
23 cdfplot(a1,a2,a3)
24
25 %% test Gaussian
26
27 plcdf = plist('TESTDISTRIBUTION','NORMAL');
28 cdfplot(a1,a2,a3,plcdf)
29
30 %% test Chi2
31
32 % chi2 with 2 degrees of freedom
33 y1 = a1.^2 + a2.^2;
34 y2 = a3.^2 + a4.^2;
35
36 plcdf = plist('TESTDISTRIBUTION','CHI2','DOF',2);
37 cdfplot(y1,y2,plcdf)
38
39 %% test F
40
41 % chi2 with 2 degrees of freedom
42 y1 = a1.^2 + a2.^2;
43 y2 = a3.^2 + a4.^2;
44 % f distribution with 2 and 2 degrees of freedom
45 y3 = y1./y2;
46
47 plcdf = plist('TESTDISTRIBUTION','F','DOF1',2,'DOF2',2);
48 cdfplot(y3,plcdf)
49
50 %% test Gamma
51
52 % this requires statistics toolbox
53 k = 10; % shape parameter
54 theta = 2; % scale parameter
55 Y1 = random('Gamma',k,theta,1000,1);
56 b1 = ao(plist('fs', 1, 'yvals', Y1, 'type', 'tsdata'));
57 Y2 = random('Gamma',k,theta,1000,1);
58 b2 = ao(plist('fs', 1, 'yvals', Y2, 'type', 'tsdata'));
59
60 plcdf = plist('TESTDISTRIBUTION','GAMMA','SHAPE',k,'SCALE',theta);
61 cdfplot(b1,b2,plcdf)