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## org.apache.jorphan.math
Class StatCalculator<T extends Number & Comparable<? super T>>

    java.lang.Object
      org.apache.jorphan.math.StatCalculator<T>

Direct Known Subclasses:
  StatCalculatorInteger, StatCalculatorLong

    public abstract class StatCalculator<T extends Number & Comparable<? super T>>

extends Object

This class serves as a way to calculate the median, max, min etc. of a list of values. It is not threadsafe.

Constructor Summary
`StatCalculator(T zero, T min, T max)` This constructor is used to set up particular values for the generic class instance.

Method Summary
`void` | `addAll(StatCalculator<T> calc)`
`void` | `addBytes(long newValue)`
`void` | `addValue(T val)`
`void` | `addValue(T val, int sampleCount)`
`void` | `clear()`
`protected abstract T` | `divide(T val, int n)`
`int` | `getCount()`
`Map<Number,Number[]>` | `getDistribution()` Returns the distribution of the values in the list.
`T` | `getMax()`
`double` | `getMean()`
`T` | `getMedian()`
`T` | `getMin()`
`T` | `getPercentPoint(double percent)` Get the value which %percent% of the values are less than.
`T` | `getPercentPoint(float percent)` Get the value which %percent% of the values are less than.
`double` | `getStandardDeviation()`
`long` | `getTotalBytes()`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### StatCalculator

    public StatCalculator(T zero,
                          T min,
                          T max)

  This constructor is used to set up particular values for the generic class instance.

  Parameters:
    `zero` - - value to return for Median and PercentPoint if there are no values
    `min` - - value to return for minimum if there are no values
    `max` - - value to return for maximum if there are no values

Method Detail

### clear

    public void clear()

### addBytes

    public void addBytes(long newValue)

### addAll

    public void addAll(StatCalculator<T> calc)

### getMedian

    public T getMedian()

### getTotalBytes

    public long getTotalBytes()

### getPercentPoint

    public T getPercentPoint(float percent)

  Get the value which %percent% of the values are less than. This works just like median (where median represents the 50% point). A typical desire is to see the 90% point - the value that 90% of the data points are below, the remaining 10% are above.

  Parameters:
    `percent` -
  Returns:
    number of values less than the percentage

### getPercentPoint

    public T getPercentPoint(double percent)

  Get the value which %percent% of the values are less than. This works just like median (where median represents the 50% point). A typical desire is to see the 90% point - the value that 90% of the data points are below, the remaining 10% are above.

  Parameters:
    `percent` -
  Returns:
    the value which %percent% of the values are less than

### getDistribution

    public Map<Number,Number[]> getDistribution()

  Returns the distribution of the values in the list.

  Returns:
    map containing either Integer or Long keys; entries are a Number array containing the key and the [Integer] count. TODO - why is the key value also stored in the entry array?

### getMean

    public double getMean()

### getStandardDeviation

    public double getStandardDeviation()

### getMin

    public T getMin()

### getMax

    public T getMax()

### getCount

    public int getCount()

### divide

    protected abstract T divide(T val,
                                int n)

### addValue

    public void addValue(T val,
                         int sampleCount)

### addValue

    public void addValue(T val)

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