寻找四分位数

Emi*_*mir 8 c++ sorting vector quantile nth-element

我编写了一个程序,用户可以在向量中输入任意数量的值,它应该返回四分位数,但我不断得到"向量下标超出范围"错误:

#include "stdafx.h"
#include <iostream>
#include <string>
#include <algorithm>
#include <iomanip>
#include <ios>
#include <vector>

int main () {
    using namespace std;

    cout << "Enter a list of numbers: ";

    vector<double> quantile;
    double x;
    //invariant: homework contains all the homework grades so far
    while (cin >> x)
        quantile.push_back(x);

    //check that the student entered some homework grades
    //typedef vector<double>::size_type vec_sz;
    int size = quantile.size();

    if (size == 0) {
        cout << endl << "You must enter your numbers . "
                        "Please try again." << endl;
        return 1;
    }

    sort(quantile.begin(), quantile.end());

    int mid = size/2;
    double median;
    median = size % 2 == 0 ? (quantile[mid] + quantile[mid-1])/2 : quantile[mid];

    vector<double> first;
    vector<double> third;

    for (int i = 0; i!=mid; ++i)
    {
        first[i] = quantile[i];

    }

        for (int i = mid; i!= size; ++i)
    {
        third[i] = quantile[i];
    }
        double fst;
        double trd;

        int side_length = 0;

        if (size % 2 == 0) 
        {
            side_length = size/2;
        }
        else {
            side_length = (size-1)/2;
        }

        fst = (size/2) % 2 == 0 ? (first[side_length/2]/2 + first[(side_length-1)/2])/2 : first[side_length/2];
        trd = (size/2) % 2 == 0 ? (third[side_length/2]/2 + third[(side_length-1)/2])/2 : third[side_length/2];

    streamsize prec = cout.precision();
    cout << "The quartiles are" <<  setprecision(3) << "1st"
        << fst << "2nd" << median << "3rd" << trd << setprecision(prec) << endl;

    return 0;   

}
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Tem*_*Rex 21

而不是做std::sort(quantile.begin(), quantile.end())一些有点便宜的方式

auto const Q1 = quantile.size() / 4;
auto const Q2 = quantile.size() / 2;
auto const Q3 = Q1 + Q2;

std::nth_element(quantile.begin(),          quantile.begin() + Q1, quantile.end());
std::nth_element(quantile.begin() + Q1 + 1, quantile.begin() + Q2, quantile.end());
std::nth_element(quantile.begin() + Q2 + 1, quantile.begin() + Q3, quantile.end());
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这不会对整个数组进行排序,而只会对4个四分位数进行"组间"排序.这节省了完整的"组内"排序std::sort.

如果您的quantile阵列不大,那么这是一个小优化.但标度行为std::nth_elementO(N)不过的,而不是O(N log N)std::sort.


Yur*_*ury 9

这是量子函数,它是MATLAB与线性插值的等效函数:

#include <algorithm>
#include <cmath>
#include <vector>

template<typename T>
static inline double Lerp(T v0, T v1, T t)
{
    return (1 - t)*v0 + t*v1;
}

template<typename T>
static inline std::vector<T> Quantile(const std::vector<T>& inData, const std::vector<T>& probs)
{
    if (inData.empty())
    {
        return std::vector<T>();
    }

    if (1 == inData.size())
    {
        return std::vector<T>(1, inData[0]);
    }

    std::vector<T> data = inData;
    std::sort(data.begin(), data.end());
    std::vector<T> quantiles;

    for (size_t i = 0; i < probs.size(); ++i)
    {
        T poi = Lerp<T>(-0.5, data.size() - 0.5, probs[i]);

        size_t left = std::max(int64_t(std::floor(poi)), int64_t(0));
        size_t right = std::min(int64_t(std::ceil(poi)), int64_t(data.size() - 1));

        T datLeft = data.at(left);
        T datRight = data.at(right);

        T quantile = Lerp<T>(datLeft, datRight, poi - left);

        quantiles.push_back(quantile);
    }

    return quantiles;
}
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查找四分位数:

std::vector<double> in = { 1,2,3,4,5,6,7,8,9,10,11 };
auto quartiles = Quantile<double>(in, { 0.25, 0.5, 0.75 });
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