我一直在寻找一种计算给定列表中每个值的百分位等级的方法,但到目前为止我一直没有成功。
org.apache.commons.math3为您提供了一种从值列表中获取pth百分位数的方法,但我要的是相反的方法。我想对列表中的每个值进行排名。有没有人知道一个库或Apache Commons Math中的一种方法来实现这一目标?

例如:给定值{1,2,3,4,5}的列表,我想为每个值设置百分等级,最大百分数为99或100,最小百分数为0或1。

更新的代码:

public class TestPercentile {

public static void main(String args[]) {
    double x[] = { 10, 11, 12, 12, 12, 12, 15, 18, 19, 20 };
    calculatePercentiles(x);
}

public static void calculatePercentiles(double[] arr) {
    for (int i = 0; i < arr.length; i++) {
        int count = 0;
        int start = i;
        if (i > 0) {
            while (i > 0 && arr[i] == arr[i - 1]) {
                count++;
                i++;
            }
        }
        double perc = ((start - 0) + (0.5 * count));
        perc = perc / (arr.length - 1);
        for (int k = 0; k < count + 1; k++)
            System.out.println("Percentile for value " + (start + k + 1)
                    + " = " + perc * 100);
    }
}}

Sample Output:
Percentile for value 1 = 0.0
Percentile for value 2 = 11.11111111111111
Percentile for value 3 = 22.22222222222222
Percentile for value 4 = 50.0
Percentile for value 5 = 50.0
Percentile for value 6 = 50.0
Percentile for value 7 = 50.0
Percentile for value 8 = 77.77777777777779
Percentile for value 9 = 88.88888888888889
Percentile for value 10 = 100.0

有人可以让我知道这是否正确以及是否有一个可以更干净地执行此操作的库吗?

谢谢!

最佳答案

这实际上取决于您对百分位数的定义。以下是使用NaturalRanking并重新缩放为0-1间隔的解决方案。很高兴NaturalRanking有一些策略可以处理相等的值和已经实现的Nan。

import java.util.Arrays;
import org.apache.commons.math3.stat.ranking.NaNStrategy;
import org.apache.commons.math3.stat.ranking.NaturalRanking;
import org.apache.commons.math3.stat.ranking.TiesStrategy;

public class Main {

    public static void main(String[] args) {
        double[] arr = {Double.NaN, 10, 11, 12, 12, 12, 12, 15, 18, 19, 20};

        PercentilesScaledRanking ranking = new PercentilesScaledRanking(NaNStrategy.REMOVED, TiesStrategy.MAXIMUM);
        double[] ranks = ranking.rank(arr);

        System.out.println(Arrays.toString(ranks));
        //prints:
        //[0.1, 0.2, 0.6, 0.6, 0.6, 0.6, 0.7, 0.8, 0.9, 1.0]
    }
}

class PercentilesScaledRanking extends NaturalRanking {

    public PercentilesScaledRanking(NaNStrategy nanStrategy, TiesStrategy tiesStrategy) {
        super(nanStrategy, tiesStrategy);
    }

    @Override
    public double[] rank(double[] data) {
        double[] rank = super.rank(data);
        for (int i = 0; i < rank.length; i++) {
            rank[i] = rank[i] / rank.length;
        }
        return rank;
    }
}

关于java - 计算列表中每个值的百分分数,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/20480674/

10-12 21:25