std::chi_squared_distribution
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<tbody> </tbody> template< class RealType = double > class chi_squared_distribution; |
( C++11) | |
- f(x;n) = None
x(n/2)-1
e-x/2(n/2) 2n/2
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RealType
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(public -) | |
(C++11) |
(public -) |
(n) (public -) | |
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,
(C++11)(C++11)( C++20) |
() |
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/ |
#include <algorithm>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <map>
#include <random>
#include <vector>
template <int Height = 5, int BarWidth = 1, int Padding = 1, int Offset = 0,
bool DrawMinMax = true, class Sample>
void draw_vbars(Sample const& s) {
static_assert((Height > 0) && (BarWidth > 0) && (Padding >= 0) && (Offset >= 0));
auto cout_n = [](auto const& v, int n) { while (n-- > 0) std::cout << v; };
const auto [min, max] = std::minmax_element(std::cbegin(s), std::cend(s));
std::vector<std::div_t> qr;
for (float e : s) {
qr.push_back(std::div(std::lerp(0.f, Height*8, (e - *min)/(*max - *min)), 8));
}
for (auto h{Height}; h-- > 0 ;) {
cout_n(' ', Offset);
for (auto [q, r] : qr) {
char d[] = ""; // == { 0xe2, 0x96, 0x88, 0 }
q < h ? d[0] = ' ', d[1] = '\0' : q == h ? d[2] -= (7 - r) : 0;
cout_n(d, BarWidth);
cout_n(' ', Padding);
}
if (DrawMinMax && Height > 1)
h == Height - 1 ? std::cout << " " << *max:
h != 0 ? std::cout << ""
: std::cout << " " << *min;
cout_n('\n', 1);
}
}
int main() {
std::random_device rd{};
std::mt19937 gen{rd()};
auto 2 = [&gen](const float dof) {
std::chi_squared_distribution<float> d{ dof /* n */ };
const int norm = 1'00'00;
const float cutoff = 0.002f;
std::map<int, int> hist{};
for (int n=0; n!=norm; ++n) { ++hist[std::round(d(gen))]; }
std::vector<float> bars;
std::vector<int> indices;
for (const auto [n, p] : hist) {
if (float x = p * (1.0/norm); cutoff < x) {
bars.push_back(x);
indices.push_back(n);
}
}
std::cout << "dof = " << dof << ":\n";
draw_vbars<4,3>(bars);
for (int n : indices) { std::cout << "" << std::setw(2) << n << " "; }
std::cout << "\n\n";
};
for (float dof : {1.f, 2.f, 3.f, 4.f, 6.f, 9.f}) 2(dof);
}
:
dof = 1:
0.5271
0.003
0 1 2 3 4 5 6 7 8
dof = 2:
0.3169
0.004
0 1 2 3 4 5 6 7 8 9 10
dof = 3:
0.2439
0.0033
0 1 2 3 4 5 6 7 8 9 10 11 12
dof = 4:
0.1864
0.0026
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
dof = 6:
0.1351
0.0031
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
dof = 9:
0.1044
0.0034
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
- Weisstein, Eric W. "Chi-Squared Distribution." MathWorld - Wolfram Web.