[go: up one dir, main page]

Menu

[62db13]: / gtests / stat_test.cpp  Maximize  Restore  History

Download this file

90 lines (83 with data), 3.1 kB

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
/*!
* \file
* \brief Miscellaneous statistical routines test program
* \author Tony Ottosson and Adam Piatyszek
*
* -------------------------------------------------------------------------
*
* Copyright (C) 1995-2013 (see AUTHORS file for a list of contributors)
*
* This file is part of IT++ - a C++ library of mathematical, signal
* processing, speech processing, and communications classes and functions.
*
* IT++ is free software: you can redistribute it and/or modify it under the
* terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* IT++ is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along
* with IT++. If not, see <http://www.gnu.org/licenses/>.
*
* -------------------------------------------------------------------------
*/
#include <itpp/itstat.h>
#include "gtest/gtest.h"
using namespace itpp;
using namespace std;
static
const double tol = 1e-4;
static
void assert_vec_p(const vec &ref, const vec &act, int line)
{
ASSERT_EQ(ref.length(), act.length()) << line;
for (int n = 0; n < ref.length(); ++n) {
ASSERT_NEAR(ref(n), act(n), tol) << line;
}
}
#define assert_vec(ref, act) assert_vec_p(ref, act, __LINE__)
TEST(Stat, All)
{
RNG_reset(0);
// Test of statistical routines
vec a = randn(5);
ASSERT_NEAR(1.02823, max(a), tol);
ASSERT_NEAR(-1.27491, min(a), tol);
ASSERT_NEAR(-0.255701, mean(a), tol);
ASSERT_NEAR(0.505336, geometric_mean(abs(a)), tol);
ASSERT_NEAR(1.76712, norm(a), tol);
ASSERT_NEAR(1.76712, norm(a, 2), tol);
ASSERT_NEAR(3.33497, norm(a, 1), tol);
ASSERT_NEAR(1.76712, norm(a, "fro"), tol);
ASSERT_NEAR(3.1227, energy(a), tol);
ASSERT_NEAR(0.698947, variance(a), tol);
ASSERT_NEAR(0, moment(a, 1), tol);
ASSERT_NEAR(0.559158, moment(a, 2), tol);
ASSERT_NEAR(0.207182, moment(a, 3), tol);
ASSERT_NEAR(0.528541, skewness(a), tol);
ASSERT_NEAR(-1.7716, kurtosisexcess(a), tol);
ASSERT_NEAR(1.2284, kurtosis(a), tol);
mat A = randn(5, 5);
vec ref = "1.29011 0.249247 0.875791 1.29677 1.44749";
assert_vec(ref, max(A));
ref = "1.29011 0.249247 0.875791 1.29677 1.44749";
assert_vec(ref, max(A, 1));
ref = "0.382527 1.29011 1.44749 1.29677 0.875791";
assert_vec(ref, max(A, 2));
ref = "-0.878434 -3.7327 -1.27628 -0.610395 -0.466618";
assert_vec(ref, min(A));
ref = "-0.878434 -3.7327 -1.27628 -0.610395 -0.466618";
assert_vec(ref, min(A, 1));
ref = "-1.27628 -3.7327 -0.675383 -0.940147 -0.19548";
assert_vec(ref, min(A, 2));
ASSERT_NEAR(-0.0769627, mean(A), tol);
ASSERT_NEAR(0.518696, geometric_mean(abs(A)), tol);
ASSERT_NEAR(4.11346, norm(A), tol);
ASSERT_NEAR(4.11346, norm(A, 2), tol);
ASSERT_NEAR(5.56682, norm(A, 1), tol);
ASSERT_NEAR(5.23492, norm(A, "fro"), tol);
}