Colt 1.2.0

## hep.aida.bin
Class MightyStaticBin1D

    java.lang.Object
      cern.colt.PersistentObject
          hep.aida.bin.AbstractBin
              hep.aida.bin.AbstractBin1D
                  hep.aida.bin.StaticBin1D
                      hep.aida.bin.MightyStaticBin1D

All Implemented Interfaces:
  Cloneable, DoubleBufferConsumer, Serializable

Direct Known Subclasses:
  QuantileBin1D

public class MightyStaticBin1D
extends StaticBin1D

Static and the same as its superclass, except that it can do more: Additionally computes moments of arbitrary integer order, harmonic mean, geometric mean, etc. Constructors need to be told what functionality is required for the given use case. Only maintains aggregate measures (incrementally) - the added elements themselves are not kept.

Version:
  0.9, 03-Jul-99
See Also:
  Serialized Form

Field Summary

Fields inherited from class cern.colt.PersistentObject
`serialVersionUID`

Constructor Summary
`MightyStaticBin1D()` Constructs and returns an empty bin with limited functionality but good performance; equivalent to `MightyStaticBin1D(false,false,4)`.
`MightyStaticBin1D(boolean hasSumOfLogarithms, boolean hasSumOfInversions, int maxOrderForSumOfPowers)` Constructs and returns an empty bin with the given capabilities.

Method Summary
`void` | `addAllOfFromTo(DoubleArrayList list, int from, int to)` Adds the part of the specified list between indexes `from` (inclusive) and `to` (inclusive) to the receiver.
`Object` | `clone()` Returns a deep copy of the receiver.
`String` | `compareWith(AbstractBin1D other)` Computes the deviations from the receiver's measures to another bin's measures.
`double` | `geometricMean()` Returns the geometric mean, which is `Product( x[i] )1.0/size()`.
`int` | `getMaxOrderForSumOfPowers()` Returns the maximum order `k` for which sums of powers are retrievable, as specified upon instance construction.
`int` | `getMinOrderForSumOfPowers()` Returns the minimum order `k` for which sums of powers are retrievable, as specified upon instance construction.
`double` | `harmonicMean()` Returns the harmonic mean, which is `size() / Sum( 1/x[i] )`.
`boolean` | `hasSumOfInversions()` Returns whether `sumOfInversions()` can return meaningful results.
`boolean` | `hasSumOfLogarithms()` Tells whether `sumOfLogarithms()` can return meaningful results.
`boolean` | `hasSumOfPowers(int k)` Tells whether `sumOfPowers(k)` can return meaningful results.
`double` | `kurtosis()` Returns the kurtosis (aka excess), which is `-3 + moment(4,mean()) / standardDeviation()4`.
`double` | `moment(int k, double c)` Returns the moment of `k`-th order with value `c`, which is `Sum( (x[i]-c)k ) / size()`.
`double` | `product()` Returns the product, which is `Prod( x[i] )`.
`double` | `skew()` Returns the skew, which is `moment(3,mean()) / standardDeviation()3`.
`double` | `sumOfInversions()` Returns the sum of inversions, which is `Sum( 1 / x[i] )`.
`double` | `sumOfLogarithms()` Returns the sum of logarithms, which is `Sum( Log(x[i]) )`.
`double` | `sumOfPowers(int k)` Returns the `k-th` order sum of powers, which is `Sum( x[i]k )`.
`String` | `toString()` Returns a String representation of the receiver.

Methods inherited from class hep.aida.bin.StaticBin1D
`add, clear, isRebinnable, max, min, size, sum, sumOfSquares`

Methods inherited from class hep.aida.bin.AbstractBin1D
`addAllOf, buffered, equals, mean, rms, standardDeviation, standardError, trimToSize, variance`

Methods inherited from class hep.aida.bin.AbstractBin
`center, center, error, error, offset, offset, value, value`

Methods inherited from class java.lang.Object
`getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### MightyStaticBin1D

    public MightyStaticBin1D()

  Constructs and returns an empty bin with limited functionality but good performance; equivalent to `MightyStaticBin1D(false,false,4)`.

### MightyStaticBin1D

    public MightyStaticBin1D(boolean hasSumOfLogarithms,
                             boolean hasSumOfInversions,
                             int maxOrderForSumOfPowers)

  Constructs and returns an empty bin with the given capabilities.

Parameters:
  `hasSumOfLogarithms` - Tells whether `sumOfLogarithms()` can return meaningful results. Set this parameter to `false` if measures of sum of logarithms, geometric mean and product are not required.

  `hasSumOfInversions` - Tells whether `sumOfInversions()` can return meaningful results. Set this parameter to `false` if measures of sum of inversions, harmonic mean and sumOfPowers(-1) are not required.

  `maxOrderForSumOfPowers` - The maximum order `k` for which `sumOfPowers(int)` can return meaningful results. Set this parameter to at least 3 if the skew is required, to at least 4 if the kurtosis is required. In general, if moments are required set this parameter at least as large as the largest required moment. This method always substitutes `Math.max(2,maxOrderForSumOfPowers)` for the parameter passed in. Thus, `sumOfPowers(0..2)` always returns meaningful results.
See Also:
  `hasSumOfPowers(int)`, `moment(int,double)`

Method Detail

### addAllOfFromTo

    public void addAllOfFromTo(DoubleArrayList list,
                               int from,
                               int to)

  Adds the part of the specified list between indexes `from` (inclusive) and `to` (inclusive) to the receiver.

  Overrides:
    `addAllOfFromTo` in class `StaticBin1D`
  Parameters:
    `list` - the list of which elements shall be added.
    `from` - the index of the first element to be added (inclusive).
    `to` - the index of the last element to be added (inclusive).
  Throws:
    `IndexOutOfBoundsException` - if `list.size()>0 && (from<0 || from>to || to>=list.size())`.

### clone

    public Object clone()

  Returns a deep copy of the receiver.

  Overrides:
    `clone` in class `PersistentObject`
  Returns:
    a deep copy of the receiver.

### compareWith

    public String compareWith(AbstractBin1D other)

  Computes the deviations from the receiver's measures to another bin's measures.

  Overrides:
    `compareWith` in class `AbstractBin1D`
  Parameters:
    `other` - the other bin to compare with
  Returns:
    a summary of the deviations.

### geometricMean

    public double geometricMean()

  Returns the geometric mean, which is `Product( x[i] )1.0/size()`. This method tries to avoid overflows at the expense of an equivalent but somewhat inefficient definition: `geoMean = exp( Sum( Log(x[i]) ) / size())`. Note that for a geometric mean to be meaningful, the minimum of the data sequence must not be less or equal to zero.

  Returns:
    the geometric mean; `Double.NaN` if `!hasSumOfLogarithms()`.

### getMaxOrderForSumOfPowers

    public int getMaxOrderForSumOfPowers()

  Returns the maximum order `k` for which sums of powers are retrievable, as specified upon instance construction.

  See Also:
    `hasSumOfPowers(int)`, `sumOfPowers(int)`

### getMinOrderForSumOfPowers

    public int getMinOrderForSumOfPowers()

  Returns the minimum order `k` for which sums of powers are retrievable, as specified upon instance construction.

  See Also:
    `hasSumOfPowers(int)`, `sumOfPowers(int)`

### harmonicMean

    public double harmonicMean()

  Returns the harmonic mean, which is `size() / Sum( 1/x[i] )`. Remember: If the receiver contains at least one element of `0.0`, the harmonic mean is `0.0`.

  Returns:
    the harmonic mean; `Double.NaN` if `!hasSumOfInversions()`.
  See Also:
    `hasSumOfInversions()`

### hasSumOfInversions

    public boolean hasSumOfInversions()

  Returns whether `sumOfInversions()` can return meaningful results.

  Returns:
    `false` if the bin was constructed with insufficient parametrization, `true` otherwise. See the constructors for proper parametrization.

### hasSumOfLogarithms

    public boolean hasSumOfLogarithms()

  Tells whether `sumOfLogarithms()` can return meaningful results.

  Returns:
    `false` if the bin was constructed with insufficient parametrization, `true` otherwise. See the constructors for proper parametrization.

### hasSumOfPowers

    public boolean hasSumOfPowers(int k)

  Tells whether `sumOfPowers(k)` can return meaningful results. Defined as `hasSumOfPowers(k) <==> getMinOrderForSumOfPowers() <= k && k <= getMaxOrderForSumOfPowers()`. A return value of `true` implies that `hasSumOfPowers(k-1) .. hasSumOfPowers(0)` will also return `true`. See the constructors for proper parametrization.

  Details: `hasSumOfPowers(0..2)` will always yield `true`. `hasSumOfPowers(-1) <==> hasSumOfInversions()`.

  Returns:
    `false` if the bin was constructed with insufficient parametrization, `true` otherwise.
  See Also:
    `getMinOrderForSumOfPowers()`, `getMaxOrderForSumOfPowers()`

### kurtosis

    public double kurtosis()

  Returns the kurtosis (aka excess), which is `-3 + moment(4,mean()) / standardDeviation()4`.

  Returns:
    the kurtosis; `Double.NaN` if `!hasSumOfPowers(4)`.
  See Also:
    `hasSumOfPowers(int)`

### moment

    public double moment(int k,
                         double c)

  Returns the moment of `k`-th order with value `c`, which is `Sum( (x[i]-c)k ) / size()`.

  Parameters:
    `k` - the order; must be greater than or equal to zero.
    `c` - any number.
  Returns:
    `Double.NaN` if `!hasSumOfPower(k)`.
  Throws:
    `IllegalArgumentException` - if `k < 0`.

### product

    public double product()

  Returns the product, which is `Prod( x[i] )`. In other words: `x[0]*x[1]*...*x[size()-1]`.

  Returns:
    the product; `Double.NaN` if `!hasSumOfLogarithms()`.
  See Also:
    `hasSumOfLogarithms()`

### skew

    public double skew()

  Returns the skew, which is `moment(3,mean()) / standardDeviation()3`.

  Returns:
    the skew; `Double.NaN` if `!hasSumOfPowers(3)`.
  See Also:
    `hasSumOfPowers(int)`

### sumOfInversions

    public double sumOfInversions()

  Returns the sum of inversions, which is `Sum( 1 / x[i] )`.

  Returns:
    the sum of inversions; `Double.NaN` if `!hasSumOfInversions()`.
  See Also:
    `hasSumOfInversions()`

### sumOfLogarithms

    public double sumOfLogarithms()

  Returns the sum of logarithms, which is `Sum( Log(x[i]) )`.

  Returns:
    the sum of logarithms; `Double.NaN` if `!hasSumOfLogarithms()`.
  See Also:
    `hasSumOfLogarithms()`

### sumOfPowers

    public double sumOfPowers(int k)

  Returns the `k-th` order sum of powers, which is `Sum( x[i]k )`.

  Parameters:
    `k` - the order of the powers.
  Returns:
    the sum of powers; `Double.NaN` if `!hasSumOfPowers(k)`.
  See Also:
    `hasSumOfPowers(int)`

### toString

    public String toString()

  Returns a String representation of the receiver.

  Overrides:
    `toString` in class `AbstractBin1D`

Colt 1.2.0

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