本文整理了Java中org.apache.commons.math3.stat.descriptive.rank.Percentile.<init>()方法的一些代码示例，展示了Percentile.<init>()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Percentile.<init>()方法的具体详情如下：
包路径：org.apache.commons.math3.stat.descriptive.rank.Percentile
类名称：Percentile
方法名：<init>

Percentile.<init>介绍

[英]Constructs a Percentile with the following defaults.

• default quantile: 50.0, can be reset with #setQuantile(double)
• default estimation type: EstimationType#LEGACY, can be reset with #withEstimationType(EstimationType)
• default NaN strategy: NaNStrategy#REMOVED, can be reset with #withNaNStrategy(NaNStrategy)
• a KthSelector that makes use of MedianOf3PivotingStrategy, can be reset with #withKthSelector(KthSelector)
  [中]使用以下默认值构造百分位。
  *默认分位数：50.0，可使用#设置分位数（双精度）重置
  *默认估算类型：EstimationType#LEGACY，可以用#withEstimationType（EstimationType）重置
  *默认NaN策略：NaNStrategy#已删除，可以用#withNaNStrategy（NaNStrategy）重置
  *使用MediaNOF3旋转策略的KTH选择器可以用#WithKTH选择器（KTH选择器）重置

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * {@inheritDoc}
 */
@Override
public Percentile copy() {
  return new Percentile(this);
}

代码示例来源：origin: linkedin/cruise-control

public PercentileMetricAnomalyFinder() {
 _percentile = new Percentile();
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Build a new instance similar to the current one except for the
 * {@link NaNStrategy NaN handling} strategy.
 * <p>
 * This method is intended to be used as part of a fluent-type builder
 * pattern. Building finely tune instances should be done as follows:
 * </p>
 * <pre>
 *   Percentile customized = new Percentile(quantile).
 *                           withEstimationType(estimationType).
 *                           withNaNStrategy(nanStrategy).
 *                           withKthSelector(kthSelector);
 * </pre>
 * <p>
 * If any of the {@code withXxx} method is omitted, the default value for
 * the corresponding customization parameter will be used.
 * </p>
 * @param newNaNStrategy NaN strategy for the new instance
 * @return a new instance, with changed NaN handling strategy
 * @throws NullArgumentException when newNaNStrategy is null
 */
public Percentile withNaNStrategy(final NaNStrategy newNaNStrategy) {
  return new Percentile(quantile, estimationType, newNaNStrategy, kthSelector);
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Build a new instance similar to the current one except for the
 * {@link EstimationType estimation type}.
 * <p>
 * This method is intended to be used as part of a fluent-type builder
 * pattern. Building finely tune instances should be done as follows:
 * </p>
 * <pre>
 *   Percentile customized = new Percentile(quantile).
 *                           withEstimationType(estimationType).
 *                           withNaNStrategy(nanStrategy).
 *                           withKthSelector(kthSelector);
 * </pre>
 * <p>
 * If any of the {@code withXxx} method is omitted, the default value for
 * the corresponding customization parameter will be used.
 * </p>
 * @param newEstimationType estimation type for the new instance
 * @return a new instance, with changed estimation type
 * @throws NullArgumentException when newEstimationType is null
 */
public Percentile withEstimationType(final EstimationType newEstimationType) {
  return new Percentile(quantile, newEstimationType, nanStrategy, kthSelector);
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Build a new instance similar to the current one except for the
 * {@link KthSelector kthSelector} instance specifically set.
 * <p>
 * This method is intended to be used as part of a fluent-type builder
 * pattern. Building finely tune instances should be done as follows:
 * </p>
 * <pre>
 *   Percentile customized = new Percentile(quantile).
 *                           withEstimationType(estimationType).
 *                           withNaNStrategy(nanStrategy).
 *                           withKthSelector(newKthSelector);
 * </pre>
 * <p>
 * If any of the {@code withXxx} method is omitted, the default value for
 * the corresponding customization parameter will be used.
 * </p>
 * @param newKthSelector KthSelector for the new instance
 * @return a new instance, with changed KthSelector
 * @throws NullArgumentException when newKthSelector is null
 */
public Percentile withKthSelector(final KthSelector newKthSelector) {
  return new Percentile(quantile, estimationType, nanStrategy,
              newKthSelector);
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * {@inheritDoc}
 */
@Override
public Percentile copy() {
  return new Percentile(this);
}

代码示例来源：origin: geogebra/geogebra

/**
 * {@inheritDoc}
 */
@Override
public Percentile copy() {
  return new Percentile(this);
}

代码示例来源：origin: meyerjp3/psychometrics

private void intialize(){
  for(int i=0;i<size;i++){
    q[i] = new Percentile();
  }
}

代码示例来源：origin: joinery/joinery-dataframe

public Percentile(final double quantile) {
    super(new org.apache.commons.math3.stat.descriptive.rank.Percentile(quantile));
  }
}

代码示例来源：origin: meyerjp3/psychometrics

public ScottsBandwidth(double[] x, double adjustmentFactor){
  this.x = x;
  this.adjustmentFactor = adjustmentFactor;
  pcntl = new Percentile();
}

代码示例来源：origin: meyerjp3/psychometrics

private void intialize(){
  for(int i=0;i<size;i++){
    q[i] = new Percentile();
  }
}

代码示例来源：origin: cardillo/joinery

public Percentile(final double quantile) {
    super(new org.apache.commons.math3.stat.descriptive.rank.Percentile(quantile));
  }
}

代码示例来源：origin: meyerjp3/psychometrics

public Bootstrap(double lower, double upper){
  this.lower = lower;
  this.upper = upper;
  percentile = new Percentile();
  stdDev = new StandardDeviation();
}

代码示例来源：origin: jpmml/jpmml-evaluator

@Override
  public double doublePercentile(int percentile){

    if(this.size == 0){
      throw new IllegalStateException();
    }

    double[] data = new double[this.size];

    System.arraycopy(this.values, 0, data, 0, data.length);

    Arrays.sort(data);

    Percentile statistic = new Percentile();
    statistic.setData(data);

    return statistic.evaluate(percentile);
  }
}

代码示例来源：origin: salesforce/Argus

private Double _calculateNthPercentile(Collection<Double> values, Double percentileValue) {
  return new Percentile().evaluate(Doubles.toArray(values), percentileValue);
}

代码示例来源：origin: stackoverflow.com

DescriptiveStatistics shortList = new DescriptiveStatistics();
shortList.setPercentileImpl( new Percentile().
                 withEstimationType( Percentile.EstimationType.R_7 ) );

代码示例来源：origin: com.salesforce.argus/argus-core

private double _calculateValue(double sum, List<Double> numberArr, int count, InternalReducerType type) {
    
  if (InternalReducerType.MEDIAN.equals(type)) {
    double[] numbers = ArrayUtils.toPrimitive(numberArr.toArray(new Double[numberArr.size()]));
    return new Percentile().evaluate(numbers, 50.0);
  } 
  
  if(InternalReducerType.AVG.equals(type)) {
    return (sum / count);
  }
  
  return sum;
}

代码示例来源：origin: salesforce/Argus

private double _calculateValue(double sum, List<Double> numberArr, int count, InternalReducerType type) {
    
  if (InternalReducerType.MEDIAN.equals(type)) {
    double[] numbers = ArrayUtils.toPrimitive(numberArr.toArray(new Double[numberArr.size()]));
    return new Percentile().evaluate(numbers, 50.0);
  } 
  
  if(InternalReducerType.AVG.equals(type)) {
    return (sum / count);
  }
  
  return sum;
}

代码示例来源：origin: zavtech/morpheus-core

@Override
public double getValue() {
  return new org.apache.commons.math3.stat.descriptive.rank.Percentile(nth * 100)
    .withEstimationType(org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_7)
    .withNaNStrategy(NaNStrategy.FIXED)
    .evaluate(values, 0, n);
}

代码示例来源：origin: automatictester/lightning

@Override
protected int calculateNumericResult(DescriptiveStatistics ds) {
  ds.setPercentileImpl(new Percentile().withEstimationType(Percentile.EstimationType.R_3));
  return actualResult = (int) ds.getPercentile((double) percentile);
}